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 Department of Civil and Environmental Engineering seeks to hire an Executive (Research) to assist in department administration for projects hosted and co-hosted by the department, to assist in charting out activities and outreach for research clusters and initiatives based in the department, and to assist the Deputy Head (Research and Enterprise) and the Head of Department in specific projects and grant administration.

• To execute and administer research administration for projects hosted and co-hosted by the Department of Civil and Environmental Engineering, including managing the departmental research portfolio, proposal grant submissions, grant life-cycle administration (from initiation to closure and audit), financial and audit reports to grantors and auditors, grant data management, and others.
• To assist in charting out and implementing research outreach and activities for the Department of Civil and Environmental Engineering, including emerging research initiatives, research cluster activities and liaising with industry. • To assist in the writing, collation and documentation of research activities for the research clusters
• To assist in the collation of data, design, planning and preparation of publicity materials for research outreach, including department presentations, videos, research publications, research seminars and webinars, research website and updates.To assist in the preparation of large grant call proposals for the department.
• To assist in specific research project and grant administration as approved by the Deputy Head (Research) and the Head of Department.
• Any other ad-hoc duties as assigned.

Job Requirements

• Minimum Bachelor's degree in relevant discipline
• Minimum 2 years of experience in relevant areas
• Proficient in Microsoft Office; Powerpoint, Words, Excel (Pivot table, vLookup)
• Competent in writing, collating and summarising information
• Able to handle confidential data.
• Meticulous with strong follow-through on work matters.
• Background in science or engineering is preferable
• Open to fixed term contract.

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 Research Fellow will work closely with the Principal Investigator (PI) to conduct 4D metal printing design and control.

The job scope of this position is:

• Conducting literature reviews
• Planning and implementing experiments and simulations
• Writing progress reports and research papers
• Other lab activities

Qualifications

• PhD in Metallurgical Engineering, Materials Science, or Mechanical Engineering
• Extensive research experience in metallurgy, mechanical properties, and additive manufacturing is required
• Research experience with nitinol or other shape memory alloys is favourable
• Good attitude, self-motivated, good team player

• Excellent command / highly proficient in spoken and written English

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.

About the Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

To work closely with our research team to drive innovative solutions in credit recovery efficiency analytics. Primary responsibilities will include:

• Develop and maintain frontend and backend systems for forecasting models and data integration.
• Perform data processing tasks to ensure accessibility and usability for research purposes.
• Provide assistance in research-related affairs, including collaboration with analysts and scientists.

Qualifications

• ​​​​Master's degree in Mathematics, Fintech, Statistics, Computer Science or related field
• Proficiency in Python and SQL.
• Basic machine learning knowledge.
• Familiarity with Full Stack technologies, including Django, React, HTML, CSS, and JavaScript.
• Knowledge of data mining, backend system development, and financial technology applications.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build hardware for the next generation of the ion trap quantum processor. This includes design and implementation of the modular and compact optical system for the laser beam modulation using acousto-optical and electro-optical modulators, delivery of the beams to the inside the vacuum chamber, and implementation of the diffraction limited optical system for ion imaging and addressing of the individual ions with the laser beams.

The successful candidate will be involved in all stages of the development cycle: collaborate with team members to define technical requirements, design, test and integrate the optical systems in the final product.

Job Requirements

We are looking for several optical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Ph.D. in optical engineering, physics or related areas;
• At least 1-2 years of experience in optical design, implementation and testing of the optical or laser systems is preferred.
• Experience in optical design, familiar with optical (for example, Zemax or OSLO) and mechanical (Autodesk or Solidwork) CAD software, able to assemble and test complex optical systems.

about the company
You will be joining a highly rated, international law firm with offices across the region and around the globe within its network.

about the job
You will be an experienced knowledge administrator that will be maintaining various internal knowledge databases including the maintenance of the firm's physical library. You will be keeping up to date with legal trends and developments and provide the necessary trainings for the utilisation of the firm's knowledge tools. You will also assist in the digitalisation and modernisation process of the firm's various platforms and databases.

about the manager/team
You will be the sole knowledge administrator answering to the global knowledge director and the localised country knowledge counsel.

skills and experience required
You must have had experiences in knowledge management within the professional services or legal industry. Prior experiences managing physical libraries and various vendors/suppliers would be advantageous. A tech savvy and proactive individual would be desirable.

To apply online please use the 'apply' function.
(EA: 94C3609/ R23115352)

We are recruiting for a leading real estate group with diversified real estate asset classes and their AUM stands at about circa. USD100b. With presence in more than 20 countries, they are operating at a global level with exciting plan for their next strategic growth.

You will play an instrumental role in shaping and executing the company's strategic direction while leading the research team. This role requires an analytical thinker with extensive experience in driving growth, innovation, and long-term business success, supported by in-depth market research.

You will be working very closely with the senior leadership and cross-functional teams to drive strategic priorities and provide data-driven insights:

1. Identify, plan, and oversee key strategic initiatives and partnerships to drive growth, innovation, and competitive positioning in line with the company's global real assets manager transformation.
2. Work closely with senior leadership and country leaders to set strategic priorities and ensure alignment across all departments and functions.
3. Lead cross-functional teams to develop and implement the global strategic plan, ensuring effective collaboration and coordination.
4. Manage the internal approval process for new projects, including business case development, risk assessment, and stakeholder alignment.
5. Present strategic recommendations and updates to the Senior Leadership and the Board of Directors and front the Board Strategy and Sustainability Committee.
6. Monitor industry trends and market dynamics to identify opportunities and challenges that may impact the company's strategic direction.
7. Creating sustainable positive impact and our thought leadership capabilities
8. Drive informed investment decisions and market insights within the real estate private equity and alternative assets business.
9. Conduct and present research and analysis on various private equity funds and capital markets, alternative asset classes, investment strategies, emerging technologies, industry development and market trends.
10. Provide regular reports and updates to senior management and investment teams to support decision-making processes, formulating asset and fund strategic plans, and disposition strategies.
11. Enhance research tools and process to analyze global and regional macroeconomic and real estate industry trends to formulate market house views and develop investment strategies for both new and traditional asset classes worldwide.
12. Partner relevant funds, investment or capital raising teams to provide research insights and inputs as part investment presentations and pitch materials for fundraising efforts.
13. Prepare and create a series of research topical papers for external publication
14. Cultivate and build relationships with stakeholders to leverage market intelligence and stay connected to industry advancements.

Requirements

• At least 15 years of experience in strategy development and execution, real estate research, market analysis, or related roles within the private equity, alternative assets, or real estate investment industry.
• Bachelor's degree in Business Administration, Economics, Finance, Real Estate, or related field. A master's degree or CFA designation is preferred.
• Strong analytical and solutioning skills, with the ability to think strategically and translate insights into actionable plans.
• Proven track records of driving business growth, developing innovative initiatives, and delivering sustainable results.
• Excellent leadership and team management skills, with the ability to influence and collaborate effectively across all levels of the organization.
• Adaptable to a fast-paced business environment with strong business acumen and financial literacy, with relevant experience in conducting market feasibility studies and financial analysis.
• Excellent presentation and communication skills, with the ability to articulate complex ideas and concepts to senior leadership and stakeholders.
• Proficiency in relevant software and tools such as Microsoft Office, financial modeling software, and databases.

All applications will be treated in the strictest confidence. Personal data provided will be used for recruitment purposes only.

Please apply with your CV in word document format. We regret to inform that only shortlisted candidates will be notified. For other positions related to real estate, please go to https://careers.tri-cap.com.sg/.

EA Licence: 24S2282

​EA Personnel: R1109270

Key Responsibilities:

• Develop and evaluate advanced materials for energy applications, including fusion, fission, hydrogen technologies, or other extreme environment systems.
• Conduct research on materials for harsh and extreme environments to improve performance and reliability in energy systems.
• Assist project and group leaders in preparing research proposals and achieving OKR (Objectives and Key Results).
• Publish high-quality scientific papers and contribute to intellectual property development.
• Collaborate with interdisciplinary teams on energy-related projects.

Job Requirements:

• PhD in Metallurgy, Materials Engineering, Mechanical Engineering, or related fields
• Strong publication record and/or relevant industry experience.
• Proven expertise in materials development for energy-related research such as fusion, fission, hydrogen, or other advanced energy systems.
• Experience with materials characterization techniques and performance evaluation in extreme environments.
• Solid understanding of metallurgy, material degradation mechanisms, and structural integrity analysis.
• Ability to work independently with a proactive and results-oriented mindset.
• Strong problem-solving abilities and effective teamwork skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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 Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Requirements

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation skills.

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 Assoc Prof Cai Zhenning on Numerical Simulation of Open Quantum Systems under a project on "Long-time Simulation of Open Quantum Systems for Spin Chains and Non-Relativistic Particles".

The main responsibilities of the position include:

1. Develop algorithms and write scientific papers for the research project.
2. Attend regular group meetings and present his research work.
3. Collaborate with other colleagues and students in the research group.

Qualifications / Discipline:

• PhD degree in Applied/Computational Mathematics

Skills:

• C/C++ and MATLAB programming languages, knowledge in partial differential equations and quantum mechanics.

Experience:

• At least two years of research experience in scientific computing

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok'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 TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

Our mission in the experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decisions for the products. The supported scenarios include recommendations, push, ads, search, mobile app, UI interaction and service upgrades etc.

Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, and statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.

Responsibilities

• Analytics: Work independently to define, design, prototype, and implement complex exploratory analysis, w.r.t both theoretical and business perspectives.
• Methodology development: Leverage deep statistical expertise to improve and/or create methodologies
• Teamwork: Participate actively and thoughtfully in multidisciplinary teams to implement algorithms in production
• Communication: Effectively communicate insights and recommendations to support decisions on future research directions
• Mentorship: Oversee the analyses of junior statisticians and data scientists, and support their professional development

Minimum Qualification

• M.S. or Ph.D. in Statistics, Econometrics, Operations Research, Mathematics, Computer Science, or other quantitative fields
• Passion for solving unstructured and non-standard mathematical problems
• Expertise in experimental design and/or Bayesian inference & optimization
• Fluency with SQL or similar
• Proficiency with Python, or other interpreted programming language like R or Matlab

Preferred Qualification

• 2 years experience with Bayesian experiment/optimization system design
• Experience with quasi-experimental causal inference (Rubin causal model/ structural causal model/ instrumental variables etc.)
• In-depth understanding and hands-on experience in wielding tools like graphs.
• 2 years experience with applying modern machine learning techniques and/or collaborating with ML scientists
• Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience
• Comfortable with massive paper searching, reading and composing.

Responsibilities

About Doubao (Seed) Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application 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

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Minimum Qualifications

1. At least hold a Master degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application; 5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are preferred.

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.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.

- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Qualifications

Minimum Qualification

- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.

- Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

- Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.

Preferred Qualifications

- Excellent problem analysis and solving skills, and passionate about solving challenging problems.

- Passionate about technology, good communication skills and teamwork spirit.

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

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

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential) - Demonstrated experience in using a range qualitative research methods (essential)
  - Track record of publishing in international peer-reviewed journals (desirable)
  - Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply
  

Skills

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at [email protected].

Job Summary:

We are seeking a highly motivated and customer-focused Department Assistant to join our dynamic team at KKV Singapore. You will play a vital role in supporting the smooth and efficient operation of our store, contributing to a positive customer experience and achieving sales targets. This role requires a proactive individual with a strong work ethic and a passion for retail.

Key Responsibilities:

Sales Support:

• Contribute to achieving monthly sales targets through effective support of sales operations.
• Assist customers with inquiries and purchases, providing excellent customer service.

Store Operations:

• Handle daily store opening and closing procedures, ensuring all tasks are completed efficiently and accurately.
• Maintain store cleanliness, organization, and visual appeal, ensuring sufficient stock on shelves and adhering to KKV's merchandising standards.
• Report any maintenance issues or necessary repairs promptly.

Inventory Management:

• Manage product inventory, receiving and processing stock from the warehouse.
• Maintain accurate inventory records and conduct regular stock checks.
• Check product expiry dates and handle damaged or defective products according to company procedures.
• Manage trial/sample packs and ensure proper distribution.

Customer Service:

• Provide friendly and efficient cashiering services, ensuring accurate handling of transactions.
• Address customer inquiries and complaints promptly and professionally, resolving issues effectively.
• Contribute to a positive and welcoming shopping environment for all customers.

Visual Merchandising:

• Assist in maintaining visually appealing and effective product displays that align with KKV's brand standards.
• Make adjustments to displays as needed to optimize product presentation and sales.

Loss Prevention:

• Support the implementation of anti-theft measures to minimize stock losses.
• Ensure the security of cash and small notes.

Administrative Tasks:

• Ensure accuracy of invoices and receipts.

Job Requirements:

• Minimum 'O' Levels or equivalent. Experience in fast fashion, supermarket, retail, or shopping mall environments is preferred.
• Excellent customer service skills and a positive, friendly demeanour.
• Strong communication and interpersonal skills.
• Ability to work effectively both independently and as part of a team.
• Ability to work a rotating retail schedule, including weekends and public holidays.
• Proficient in basic computer operations.
• Strong attention to detail and organizational skills.
• Ability to handle cash and perform basic accounting functions accurately.

Please send your resume to: [email protected]

Working location: Tiong Bahru

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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on reliability analysis of a floating tidal-wave energy system. Candidates with expertise in reliability analysis and dynamic analysis of floating structures are preferred.

Job Requirements

• Possess a recognised PhD degree in offshore engineering, or a related discipline.
• Strong writing and communication skills
• Good publication record is advantageous
• Open to fixed term contract

Location: Singapore
Department: Research & Development (R&D)
Reports to: Chief Executive Officer (CEO)
Employment Type: Full-Time

KEY Responsibilities:

1. Research & Innovation:

• Lead research initiatives focused on underwater robotics, including navigation, machine learning algorithms, and sensor integration.
• Drive innovation to enhance the performance, autonomy, and efficiency of Roverclean and future robotic products.
• Stay ahead of industry trends, emerging technologies, and advancements in underwater robotics.

2. Product Development:

• Oversee the development and improvement of Alicia Bots’ underwater robotic systems.
• Collaborate with cross-functional teams, including software, mechanical, and electrical engineers, to ensure seamless integration of robotics solutions.
• Evaluate technical feasibility and scalability of proposed robotic solutions.

3. Team Leadership:

• Build, mentor, and lead a high-performing team of robotics engineers and researchers.
• Foster a collaborative and innovative work environment.
• Provide technical guidance and ensure team alignment with company goals.

4. Strategic Planning:

• Develop and execute a long-term R&D strategy for underwater robotics in alignment with company objectives.
• Define research priorities, set milestones, and monitor project timelines and deliverables.

5. Collaboration & Partnerships:

• Build strategic partnerships with academic institutions, research labs, and technology partners.
• Represent the company at industry conferences, workshops, and technical forums.

6. Technical Documentation:

• Ensure accurate and thorough technical documentation for all research projects and product developments.
• Prepare technical papers, reports, and patents where applicable.

Qualifications & Experience:

Education:

• Bachelor's or Master’s in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or a related field with a focus on underwater systems or marine technology.

Experience:

• Minimum 5-10 years of experience in underwater robotics research or robotics product development.
• Proven track record of leading R&D teams and delivering successful robotic systems or projects.
• Experience with underwater navigation systems, sonar technologies, and AI/ML integration in robotic systems.
• Previous experience in the maritime, offshore, or defense industries is preferred.

Technical Skills:

• Proficiency in robotics control systems, underwater communication systems, and sensor technologies.
• Strong programming skills in languages like C++, Python, or ROS (Robot Operating System).

Soft Skills:

• Strong leadership and mentoring abilities.
• Excellent problem-solving and analytical thinking skills.
• Effective communication and interpersonal skills.
• Ability to work collaboratively across departments and international teams.

What We Offer:

• Competitive salary and performance-based incentives.
• A dynamic and innovative work environment.
• Opportunities for professional growth and technical leadership.

Exposure to cutting-edge maritime technologies and global industry leaders.

• Oversee and set the strategic direction for R&D and Sales, ensuring alignment with company goals to drive growth and innovation.
• Develop and implement sales strategies to increase revenue and expand market share.
• Ensure R&D efforts focus on creating products that meet customer needs and market demands.
• Lead and foster a collaborative culture between R&D and sales teams to ensure seamless product development and market delivery.
• Collaborate closely with marketing, production, and operations to ensure timely and efficient product launches.
• Monitor sales performance, set objectives, and analyze results to continuously optimize the sales process.
• Manage key performance indicators (KPIs) for both R&D and Sales teams, ensuring alignment with business objectives.
• Establish strong relationships with customers and external stakeholders to gather feedback and identify new market opportunities.
• Manage R&D and sales budgets, ensuring cost-effective operations while maintaining quality and performance standards.

Requirements:

• Bachelor’s degree in Food Science or a related field.
• A minimum of 10-15 years of experience in R&D and sales within a manufacturing environment.
• Fluency in Japanese to communicate effectively with Japanese clients and headquarters.
• Proven ability to lead high-performing teams with strong interpersonal and communication skills.
• Strong understanding of market trends, customer behavior, and the competitive landscape.
• Expertise in formulating and executing sales and R&D strategies aligned with business goals.
• Solid financial acumen, including budgeting, forecasting, and cost management.
• Excellent problem-solving, decision-making, and strategic thinking skills.

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 Institute for Functional Intelligent Materials (I-FIM) is looking for postdoctoral research fellows to work on topics in machine learning and its scientific applications. The successful candidate will work with Principal Investigators in I-FIM on these topics.

The main responsibilities of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) the following:

• Data-driven multiscale modelling
• Approximation and optimisation theory of new architectures with applications in dynamics
• Learning and controlling deterministic and stochastic dynamics

Job Requirements

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields
• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics and chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning frameworks, e.g., Jax, PyTorch
• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, and/or top journals in applied sciences.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research associate for polymeric biomaterials.

As a research associate in AM.NUS, you will be working on projects on the following areas:

• Synthesize new polymeric biomaterials for advanced bioinks.
• Undertake internal capability development projects and collaborative projects with researchers and industrial partners.
• Produce scientific research papers and grant proposals, and present in seminars, workshops, and conferences.
• Explore collaborations with researchers and industrial partners.
• Assist laboratory safety and procurement whenever necessary.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore (NUS)’s world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS will explore a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalized patient treatments.
AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) center in an Institute of Higher Learning in Singapore which comprises the following Faculties (Medicine, Science, Dentistry and Design & Engineering). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC).

Qualifications

• Master in Materials Science and Engineering/ Biomedical Engineering/Chemical Engineering/ Pharmacy or related field.
• Experience in polymer synthesis and characterization.
• Experience in cell culture techniques.
• Familiarity with 3D printing is an advantage.
• Proficiency in written and spoken English.

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• 
  
• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, Naval Group, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

DESCRIPTION

The research work concerns the remote sensing demonstrator developed in the context of the DesCartes project on the use of hybrid artificial intelligence for monitoring, diagnostic and prognostic in structural mechanics in strong connection with the industrial partners: Naval Group and CETIM.

From the already performed researches in the context of Descartes involving inverse identification by data assimilation (images and acoustic spectra) for localizing localized damages (with their sizes and severities) at the laboratory scale, the present position, aims at gaining maturity to prove the validity at the semi-industrial level.

The technologies will apply on pressurized reservoirs, composites and metallic, with data and monitoring provided by the industrial partners, Naval Group and CETIM respectively. Damages, delamination in composites and corrosion in the metallic case, will be identified by using mechanical models (with the reduced model counterparts) ensuring the learning, smart-sensing by locating the adequate sensors (static and piezo-electric) in the optimal location (while minimizing the number of sensors), the real-time data assimilation and the efficient solution (by using hybrid AI) of the associated inverse problems. The integration of all these technologies will constitute the reservoir digital twin.

EXPERIENCE & QUALIFICATIONS

Minimum:

– PhD defended with post-doctoral experience in the domain of advanced simulation in structural mechanics

– Background and research experience in mechanical engineering and computational mechanics

– Experience on mechanical modelling and simulation

Keywords:

1. Structural mechanics
2. Machine learning
3. Inverse methods
4. Finite elements

FURTHER INFORMATION & CONTACT

Gross Monthly Salary Range (SGD): 6,900 to 10,000 (depending on suitability and experience).

Duration of the contract: 1 year contract

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

Interested applicants, please send your resume to:

– FRANCISCO CHINESTA SORIA <[email protected]>

– Please attach your full CV, with the names and contacts (including email addresses) of two-character referees.

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

• Conduct research on the formulation, processing, and 3D printing of functional materials for actuation and sensing applications. This includes developing and optimizing material compositions, printing processes, and performing experimental characterization and testing to evaluate performance.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, Chemical Engineering, or a related field.
• Strong background in materials formulation, polymer processing, and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication skills

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least 5 years of relevant experience
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.