We are looking for a full-time pre-doctoral student to work as a Research Associate on INSEAD’s Singapore campus. This position is ideal for recent Master’s graduates looking to develop their research skills, with a view of applying to a PhD program. We are looking for someone who is good at managing data and in particular using software packages such as Stata, Python, and R. Ideally, they would also have experience working on a research project in the social sciences. The Research Associate core mission is to assist the school’s Strategy faculty in conducting research.

The Strategy Area at INSEAD is a global thought leader in studying the drivers of superior long-term organizational performance. Our research covers key topics such as artificial intelligence, digital transformation, sustainability, corporate social responsibility, innovation, corporate culture, collaboration, and strategic leadership. We investigate how firms tackle challenges like growth constraints, post-merger integration, and shifting business models, and evaluate the effectiveness of their strategies. Our work employs a range of methodologies, including large-scale empirical analyses, field experiments, and qualitative or ethnographic approaches. While diverse in focus, our research shares a common goal: to generate insights that are both academically rigorous and practically relevant, influencing scholarly discourse and guiding real-world strategies to help businesses and leaders succeed in a dynamic global environment.

The position is for one year, with the possibility of renewal at the end of the first year upon evaluation. It is a full-time position.

TASKS:

• Assist with quantitative research projects in the areas of strategy and management.
• Extract data from conventional databases (e.g., CRSP, Compustat, etc.) or hand-collect and clean data from company documents for analysis.
• Manage and clean data using software packages such as Stata, Python, and R. Proficiency in Stata is strongly preferred.
• Conduct statistical data analysis and assist with the interpretation, write-up, and dissemination of findings.
• Help with reviews of prior literature.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Economics, Econometrics, Statistics, Finance, or closely related fields, with extensive prior training in econometrics.
• Excellent programming skills that can be applied in software packages such as Stata, Python, or R. Proficiency in Stata is strongly preferred.
• Fluency in written and oral English.
• Excellent academic record and work ethic
• Strong interest in conducting empirical research in management and economics and ambition to pursue a PhD in the future.
• Previous research experience is a strong plus.

APPLICATION:

To be considered for the position, please submit

1. Curriculum vitae

2. Cover letter describing your research experience, motivation and competencies

3. Writing sample (empirical research paper preferred)

4. Academic Grade Transcript

5. Up to two names and contact details of potential references

Applications and letters of recommendation may be submitted by email to [email protected]. Please mention job reference (STRSGP). The review will begin immediately. Applications will be considered until the position is filled.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability or nationality.

Position: Sales Administrator (ECS)

Location: Henderson Rd

Working Time: Mon -Thurs (in office), Friday (WFH) - 8.30am - 5.15pm

Salary: $3200 - $3900

REPORTING LINE: Sales Director of Electrical Connectors Division

PURPOSE OF THE POSITION: You work as part of an office-based admin support to the ECS team of 4 sales engineers/director; coordinating between the sales team with customer/prospect visits, calls and e-mail.

• Provide support to Outdoor Sales Team on quotations and proposals
• Manage and follow-up tele-enquiries, email-enquiries
• Handling of incoming calls and collections
• Process of sales orders and ensure orders fulfilment
• Coordinating all deliveries to ensure efficient and effective services to the customers
• Create and maintain both inventory and customer databases
• Conduct mass mailing and tele-marketing periodically
• Assist in organizing exhibitions and seminars as and when needed
• Manage samples, catalogues and flyers
• Any other ad-hoc duties which may be assigned to you from time to time

Skills & Qualifications

• Diploma or equivalent
• Minimum of 3 years experiences in sales admin support
• Proficient in computer knowledge (Microsoft Office)
• Experience in SAP System will be advantage, Training Provided for SAP

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Brandon I Morinaka on production and biological evaluation of peptide natural products under a project on Bioactive cyclic peptides.

The objective of the project is to create new peptide modalities that can be used for infectious disease and cancer.

The main responsibilities of the position include:

• Carry out research for new peptide natural products discovery and development including recombinant protein expression, and production and extraction of natural products.
• Train undergraduate and graduate students.
• Oversee and maintenance of analytical equipment.

Qualifications

Qualifications / Discipline:

• PhD in Pharmaceutical Science, Chemistry, Biochemistry, or related discipline.

Skills:

• Biochemical techniques: protein expression and purification, SDS-PAGE, size exclusion and affinity chromatography.
• Molecular biology: heterologous expression in E. coli and other bacterial hosts.
• Analytical chemistry: characterization of natural products and peptides. Well-versed in the use of HPLC, MS, and NMR for structural characterization.
• Good written and oral communication skills.
• Able to work effectively in a team.

Experience:

• Previous research experience in natural products chemistry, biosynthesis, antimicrobial peptides, protein-protein interactions, or related research area.

About ByteDance

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Conduct research on computer vision, deep learning and AI, addressing a wide range of challenges in deep learning, computer vision, AIGC, graphics, large multi-modality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.

- Explore the application of large-scale/super-large-scale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF.

- Proven track record of high-impact research.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

- Possess coding skills in C/C++ and Python.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Research Assistant with a strong background in Microbiology/Immunology to work in a dynamic research team focused on bat biology. The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Provide support experience for MRNA vaccine studies.
• Assist in the maintaining of cell cultures
• Assist with general upkeep of laboratory needs, maintain safety protocols and laboratory housekeeping.
• Provide guidance and training to students.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD Degree in Life Sciences with Microbiology/Immunology background.
• Demonstrated basic knowledge, skills and technical expertise in supporting various biological research activities.
• Equipped with basic routine laboratory skills, including biological safety.
• Possess interpersonal communications skills with excellent written, oral communication and computer skills.
• A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

About ByteDance

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Conduct research on computer vision, deep learning and AI, addressing a wide range of challenges in deep learning, computer vision, AIGC, graphics, large multi-modality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.

- Explore the application of large-scale/super-large-scale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

- At least 3 years of working experience in research or with relevant working experiences

- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF.

- Proven track record of high-impact research.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

- Possess coding skills in C/C++ and Python.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Position: Senior Audit Associate

Working Days: 5 days / 5.5 days(Saturday half day during peak period)
Working Hours: 0830am - 1730pm
Salary: Up to $4500
Location: Beach Road

Duties

• Is expected to lead various sizes of audit engagements which include planning, performing, reviewing of audit work performed by less experienced personnel and concluding the engagement.
• Works closely with team members to execute the audit plan and ensures the timely completion of the audit engagement.
• Works closely with clients and manages their expectations to further nurture on-going client relationships.
• Able to identify unethical behavior and react based on the applicable ethical principles.
• Operates in work contexts that are less standardization and unanticipated changes can be frequent due to changes in the external environment.
• Work with any of the assurance teams to obtain an understanding of our client’s business.
• Develop an audit plan/strategy for an audit of financial statements and document the planning procedures.
• Prepare/tailor audit programmes based on areas of audit emphasis determined at the planning stage.
• Perform audit tests of controls and substantive procedures based on planned audit approach to address the various assertions, eg: existence & completeness, rights and obligations, valuation, accuracy, presentation and disclosure.

Requirements

• Bachelor's Degree or equivalent
• 1-2 year of working experience as senior audit associate.

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Health Intervention and Policy Evaluation Research Centre (HIPER) (https://hiper.nus.edu.sg/) at the SSHSPH, NUS, is seeking to hire a highly organized and detail-oriented research assistant to support both administrative and financial functions within our research program.

This hybrid role will assist with a variety of administrative tasks, including scheduling, documentation, and communication, while also providing financial support in areas such as budget tracking, expense processing, and financial reporting.

The successful candidate will be proactive, capable of managing multiple tasks simultaneously, and eager to contribute to the success of the research program.

Key Responsibilities

Administrative Support:

• General Office Management:Provide administrative support, including scheduling meetings, and preparing meeting agendas.
• Event Coordination: Help coordinate events, workshops, and courses, including managing and tracking applications, tracking payments, booking venues, preparing materials, managing participant lists, and liaising with participants.
• Communication: Serve as a point of contact for internal and external stakeholders by managing the HIPER email account, responding to inquiries and providing timely information related to the HIPER department.
• Travel & Logistics: Assist with the coordination of travel arrangements, accommodations, and reimbursements for staff and guest speakers.

Financial Support:

• Budget Assistance: Support budget monitoring and tracking of expenditures for the research program. Ensure that financial transactions align with the approved budget.
• Invoice & Payment Processing: Process invoices, track payments, and maintain records of financial transactions, ensuring timely and accurate payment for internal transfer, guest speakers, and contractors.
• Expense Reconciliation: Assist with reconciling program-related expenses, credit card statements, and receipts.
• Financial Reporting: Assist to prepare basic financial reports, including monthly expenditure summaries and budget forecasts, to facilitate financial oversight and decision-making.
• Reimbursements: Process reimbursement requests, ensuring proper documentation and adherence to policies.

Cross-functional Support:

• Record-Keeping: Maintain an organized filing system for both administrative and financial documents, ensuring all documents are up-to-date and easily accessible.
• Data Entry and Reporting: Input and update data, maintain spreadsheets, and generate summaries and reports as needed to support activities and program management.
• Ad-Hoc Support: Assist the Center Manager and other staff with ad-hoc administrative and financial tasks as required to support the smooth operation of the program.

Working Conditions:

• Full-time position (42 hours per week).
• Standard office hours with occasional flexibility for program-related events or deadlines.
• On-site work
• The position is for one year but can potentially be extended.

How to Apply:

To apply for position, kindly share your CV and a cover letter that covers the following:

• Why you want this role and how it will further your long-term career aims
• How you meet the requirements of this post
• Your MBTI personality (https://www.16personalities.com/free-personality-test)

Qualifications

Qualifications:

• Education: Bachelor’s degree in Administration, Accounting, Finance, Business, or related field preferred.
• Experience: Previous experience in administrative or finance roles is desirable but not required. Those with no experience are welcomed to apply, especially those with a background in business administration or finance.
• Skills:

1. Strong organizational and time-management skills
2. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
3. Basic understanding of financial processes and budgeting
4. Excellent written and verbal communication skills
5. Familiarity with accounting software (e.g., QuickBooks, Excel, SAP) is a plus
6. Strong attention to detail and ability to maintain accurate records
7. Ability to multitask and prioritize effectively in a fast-paced environment

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

The Singapore University of Technology and Design (SUTD) is offering position for research assistant who will work closely with Dr. Meixia Lin working on various projects about Numerical Optimization, Convex and Non-Convex Optimization, Optimal Transport, Machine Learning, and others.

Priority will be given to those who have some computational experience.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work at the Yang Zhang Lab. He/she should possess experience or interest in the following research areas:

• Artificial Intelligence (AI) and Deep Machine Learning
• Protein Folding and Structure Prediction
• Protein and Peptide Design and Engineering
• Protein-ligand Docking and Drug Screening

We are particularly interested in the development of new AI-based approaches to cancer therapeutics. Skills in computational coding and creativity in scientific method design, together with high interest in computational cancer medicine, are critical.

Only shortlisted candidates will be notified.

Job Requirements

PhD in computer science or computational biology, with skills and research experience in AI and deep learning.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Assistant
An appointment as a Research Assistant may be offered to an applicant who has a Bachelor’s degree in law and/or who has recently graduated with an LLB (Hons) with a First-class or good Upper Second-Class Honours (or equivalent) in law.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

1. BENEFITS
   Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS
The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Associate
An appointment as a Research Associate may be offered to an applicant who has an LLM (Hons) degree and a minimum of two years’ post-graduation experience.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Fellow
An appointment as a Research Fellow may be offered to an applicant who has recently obtained a Ph.D. degree in law.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are currently seeking a highly motivated and talented research assistant/associate to work on research focusing on identifying novel therapies for treatment of acute myeloid leukemia in the laboratory of Dr Shruti Bhatt at the NUS (http://pharmacy.nus.edu.sg/tenure-track-faculty/). The candidate will be an integral member of our research team and will work under the direct supervision of Dr Shruti Bhatt (https://pharmacy.nus.edu.sg/team/asst-prof-shruti-bhatt/) to support ongoing studies including identifying clinical response to targeted therapy in leukemia using BH3 profiling. Opportunity to perform high-throughut chemical screens on cell lines and patient-derived tumor cells. We are looking to hire someone who is interested in doing wet lab experiments. The candidate will be trained in the lab however, prior experience will be given first preference.

The main responsibilities of the position include:

a) Research tasks: 90%

• To perform cell-based assay such as apoptosis, cytoxociity, cell proliferation, immunophenotyping, BH3 profiling.
• Processing of human primary leukemia samples to isolate mononuclear cells and process for flow cytometry.
• To harvest cells, protein, RNA or DNA from animal tissues, cell lines or bacteria.
• To perform experiments including PCR, immunoprecipitation and Western blot.

(b) Laboratory safety/ordering: 10%

• To aid in ordering and maintaining lab supplies.
• To create and review standard operating procedures and risk assessments.
• To assemble reagents, chemicals and media that are needed for experiments.

Qualifications

Qualifications / Discipline:

Bachelor of Science required with major in biological sciences or related field (such as pharmacy, biomedical engineering, life science, etc). Strong background in molecular and cellular biology is preferred.

Skills:

The applicant must be a self-starter with the ability to work well within a team environment, and able to work on his/her own with minimal daily supervision. The individual is expected to be able to multi-task and be well organized, both require good time management skills; pay careful attention to experimental details, and have excellent communication skills. English language reading, writing, and speaking skills required.

Experience:

We will consider a Bachelor's or Master’s degree with or without experience. Additional experience in molecular biology, handling of animals, clinical samples or primary tumors, flow cytometry and fluorescent microscopy will be viewed favorably. Background in apoptosis or leukemia biology is a plus. Candidates with prior knowledge of large data-set analysis will also be preferred. Proficient computer skills are expected with competency in Word, Excel, etc. We are looking for candidates who have at least one year of availability and can start immediately.

Responsibilities

• Site Product Manufacturing and Release Support. Provide front line support to the product manufacturing process analytics, release testing and working with the QC teams (internal sites), or in close collaboration with CDMO Analytical Expert counterparts, focusing on the testing methods for each batch, their release on time and in compliance with the batch and analytical procedures instructions and quality requirements.
• Qualification & Validation. Support the execution of analytical methods qualifications and/or validations, re-validations, Annual Monitoring Batch (AMB) and short-term improvement projects, liaising with all the relevant parties at shopfloor (internally) or CDMO manufacturing team (externally) to ensure accurate execution. Review and ensure that qualification / validation protocols and report are technically correct and in compliance with all applicable international guidelines and requirements. Ensure protocols are executed, as intended.
• Technical improvement execution. Execute analytical methods improvements and support methods development for additional product and/or process related characterization studies.
  Ensure that process technical batches generate sufficient analytical methods knowledge by thoroughly testing critical variables (e.g., DOE, QbD, PAT).
• Primary packaging closure assessment during changes. Drive the qualification and/or validation of primary packaging materials testing methods including the design of container suitability studies for the assigned product(s). Evaluate and ensure, in case of packaging change, that the primary packaging closure - including materials - are sufficient to ensure stability of the product and do not deteriorate quality.
• Assure consistency of Analytical Testing Procedures. Ensure that all critical and significant parameters are within written Instruction (e.g., Testing procedures, Validation Plan), sufficient and appropriate for the product. Derive in collaboration with the internal sites (QC team) / CDMO analytical team, the upper and lower control limits for each product analytical methods (where relevant), as part of the CPV program launch for all products
• Deviation, Out of Expectation, Out of Specification, complaint handling. Lead and/or support the GPS organization with all product and process related analytical investigations and deviations including complaints, Out of Expectation, Out of Specification, in partnership with internal / external site analytical teams. Use scientific and statistical knowledge to analyze data to provide process understanding, and to identify root causes of product and process failures.
• Annual Product Reviews and Product Quality Reviews. Be highly knowledgeable of product and process trends by providing input to Annual Product Reviews and Product Quality Review for analysis and for driving process technology innovations. Be a resource to other departments as Subject Matter Expert for the product and process knowledge.

Requirements

• BSc. In Pharmacy, Pharmaceutical Technology, Chemistry, Engineering, or equivalent scientific degree. Desirable MSc. or equivalent experience.
• Minimum 5 years experience as QC/IPC laboratory scientist of pharmaceutical /chemical GMP environment, or analytical methods development scientist.
• Basic knowledge of current CPV / OPV product and process data analysis and monitoring tools and usage
• Fundamental understanding of international regulatory requirements across multiple health authorities is a plus.
• Fundamental understanding of standard pharmaceutical analytical testing and methods development.
• 5S / 6S Lean Six Sigma Certification.
• Fluent in Japanese speaking a plus to liaise with Native Japanese stakeholders and headquarter.
• 1 year contract with full benefits (21 days annual leave, medical + completion bonus), MNC with possibility of conversion.
• Job Reference: L84839Y3

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to [email protected]

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd

Tel: 6950 9754

EA Registration Number: R22110899

EA License number: 02C4944

EA Personnel: Celeste Wong Xin Yann

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Senior Research Fellow
An appointment as a Senior Research Fellow may be offered to an applicant who has a PhD degree in law and a minimum 3 years’ post-doctoral research experience.
.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. He/She should possess experience in security, formal method, and crypotography.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills