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

Research Fellow (postdoc) position in the Department of Chemical and Bimolecular Engineering at National University of Singapore (NUS). The primary objective of this position is to foster a profound design principle towards novel, efficient and robust electrochemical catalysts and reactors for the efficient conversion of CO2/CO into multi-carbon products, i.e., ethylene, ethanol and propanol.

The research fellow is required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

• Applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field.
• Experience in electrocatalysis, or similar chemistries, is considered advantageous.
• Experience in material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered.
• Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

Brief Description

The Research and Programmes Executive (School Well-Being) will play a crucial role in driving the design, implementation, and evaluation of school well-being programmes and projects.

This role requires a dynamic individual with a passion for well-being research application and the ability to manage multiple projects simultaneously. You will work closely with internal teams, trainers, and clients to ensure the successful delivery of impact-driven programmes and projects.

Responsibilities

• Design impact-driven school well-being programmes or projects
• Implement school well-being programmes or projects, which includes but not limited to managing and training our trainers to deliver impact-drivenschool well-being programmes
• Evaluate the impact of school well-being programmes and projects, including preparing and presenting Impact Reports
• Drive innovation to improve the design, implementation, and evaluation of programmes and projects.

Requirements

• Bachelor’s degree in psychology
• Possess interest and knowledge in the science of well-being or positive psychology
• At least 1 year of experience in school programme design

Selection Process

Please take note that there will be at least 3 interviews if selected:

• 1st interview (Virtual) (30 mins) – A chat to get to know each other better
• 2nd interview (Physical) (3 hours) – A pre-interview task will be required to be completed before the interview. You will be proposing programmes and experiencing programme implementation
• 3rd interview (Physical) (1 hour) – You will explore your person-organisation fit

About Happiness Initiative

Happiness Initiative is a social enterprise dedicated to making well-being skills accessible to all. We focus on well-being research and translating it into practical applications through our programmes and products.

Website: https://happinessinitiative.sg

Instagram: https://instagram.com/happinessinitiative.sg/

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focuses on developing the technology and demonstrating Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

Morgan McKinley is seeking a Music Content Operations Research Analyst for a 12 months contract with a possibility to extend or to go perm!

Responsibilities:

• Oversee daily operations with music publishing and label partners.
• Develop workflows for monitoring publishing data and resolving issues.
• Create visual reports to track metrics and trends.
• Communicate onboarding specifications and data delivery to partners.
• Collaborate with cross-functional teams to scale operational support.
• Cultivate expertise in music rights management products.
• Advocate for contractual rights in decision-making processes.

Requirements:

• Background in music/media research with experience in record labels, or music publishing.
• Manage data ownership operations with publishing and label partners.
• Strong understanding of music rights management products and licensing.
• Knowledge of IP policies and digital rights management.

Minimum Qualifications:

• 3+ years in music account management, product management, or data analytics.
• Proficient in SQL and Excel with technical operations skills.
• Excellent communication and cross-functional collaboration skills.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

We are seeking a skilled and experienced scientist to join our dynamic team. The successful candidate will be working in a strong team developing diagnostic product. The role involves collaborating with cross-functional teams, understand the target product profile for the intended use, conducting feasibility studies, verification and validation as well ensuring designs meet technical and regulatory requirements.

Roles and Responsibilities:

• Executing Analytical Validation and Clinical Validation laboratory work
• Executing laboratory work for IVD/RUO product optimization
• Develop protein conjugation capabilities within the protein team.
• Develop protein conjugation workflows which applicable to IVD/RUO product development and scalable for large scale manufacturing
• Documentation of laboratory results as required by DxD Hub QMS and A*STAR
• Support the development of target product profile

Key Requirements:

• Bachelor’s degree in science, Biology or related experiences
• 3 - 5 years laboratory experience
• Knowledgeable in protein conjugation techniques and immunoassays
• Knowledgeable in diagnostics and basic life sciences technologies
• Experience with office management software such as MS office (Excel, Word, PowerPoint)
• Able to communicate effectively, multi-task and able work in a dynamic environment
• Works well as part of a team, yet able to work independently
• Self-driven team player who is able to work in a fast-paced environment
• Work on-site with a cross-functional team

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

Principal Investigator: Associate Professor Catherine ONG, Department of Medicine

The Infectious Diseases Research Laboratory at the Department of Medicine, Yong Loo Lin School of Medicine is looking for highly motivated and well-qualified candidates for the post of Research Fellow to work on Murine models of Tuberculosis. The lab works on translational research i.e. spanning cellular, murine and human TB research. This position provides an excellent opportunity for persons looking to further experience in translational research including robust interactions with clinicians.

https://medicine.nus.edu.sg/medi/catonglab/index.html

https://discovery.nus.edu.sg/5460-catherine-w-m-ong

Main Duties and Responsibilities

The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts including flow cytometry, immunohistochemistry, molecular biology including immunofluorescence. State-of-the art techniques include spatial transcriptomics and bioinformatics can be learnt and applied. Spatial transcriptomic work is also expected from human tissues. The person will lead in the day-to day running of experiments in the Biosafety Level 2 (BSL2) and BSL3 setting, and is expected to work independently, in coordination with other junior and senior team members in the laboratory and clinicians. Supervision of junior lab members such as undergraduates and postgraduate PhD students is expected. Work with live M. tuberculosis is expected in a BSL3 setting. BSL3 experience would be advantageous but not a requirement.

Qualifications

Applicants should have:

• A PhD degree in life science and skilled in handling murine models
• A minimum of 2 years of BSL2 experience with skills in molecular biology and immunohistochemistry/immunofluorescence
• Ability to help mentor and train junior staff members and students
• A proven track record of outstanding written, oral presentation and communication skills
• Excellent skills in project management
• Ability to work on grant proposals including writing, meeting with collaborators, and reviewing proposal opportunities

All interested applicants should send their job application interest, full CV with the cover letter and the reference letters of three referees with the referees’ contact details to the NUS Career Portal.

Brief Description

The Research and Programmes Executive (Workplace Well-Being) will play a crucial role in driving the design, implementation, and evaluation of workplace well-being programmes and projects.

This role requires a dynamic individual with a passion for well-being research application and the ability to manage multiple projects simultaneously. You will work closely with internal teams, trainers, and clients to ensure the successful delivery of impact-driven programmes and projects.

Responsibilities

• Design impact-driven workplace well-being programmes or projects
• Implement workplace well-being programmes or projects, which includes but not limited to managing and training our trainers to deliver impact-driven workplace well-being programmes
• Evaluate the impact of workplace well-being programmes and projects, including preparing and presenting Impact Reports
• Drive innovation to improve the design, implementation, and evaluation of programmes and projects

Requirements

• Bachelor’s degree in psychology
• Possess interest and knowledge in the science of well-being or positive psychology
• At least 1 year of experience in workplace well-being design, implementation, and evaluation

Selection Process

Please take note that there will be at least 3 interviews if selected:

• 1st interview (Virtual) (30 mins) – A chat to get to know each other better
• 2nd interview (Physical) (3 hours) – A pre-interview task will be required to be completed before the interview. You will be proposing programmes and experiencing programme implementation
• 3rd interview (Physical) (1 hour) – You will explore your person-organisation fit

About Happiness Initiative

Happiness Initiative is a social enterprise dedicated to making well-being skills accessible to all. We focus on well-being research and translating it into practical applications through our programmes and products.

Website: https://happinessinitiative.sg

Instagram: https://instagram.com/happinessinitiative.sg/

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 and lab members on topics of Quantum-Safe Security. He/she should possess experience or interest in the following research areas:

• Post-Quantum Cryptography
• Quantum-Safe Security

Job Requirements

• A PhD degree in a relevant area;
• Good publication record; and
• Experience in research.

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

• Robust perception, planning, and control for field robots
• Simultaneous localization and mapping
• Experimental robotics
• Novel mechanism synthesis and analysis
• Electromechanical system design experience is strongly preferred

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability .
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively communicate ideas and take constructive criticism
• Able to effectively work in a multi-disciplinary team and with third-party vendors

The position requires min Diploma in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

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 Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is looking for applicants for research engineer positions to support 3D-IC package fault localisation and failure analysis (FA) techniques with ANSYS High Frequency Structure Simulator (HFSS). The applicant will work closely with our researchers to understand and derive insights from scientific experiments and data. The applicant will also assist in the design and development of a physical test vehicle for the measurement of simulated results.

Responsibilities will include:

1. Contribute to defect classification and localization through simulation defect modelling.
2. Involve in 3D-IC forward predictive modelling (i.e. include chip and circuit blocks) by generating training materials.
3. Design of mock IC test vehicles for high frequency electromagnetic and DC magnetic field measurement and testing.

Qualifications

• A bachelor’s or higher Degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology, electrical testing, FA and strong in data analysis will have advantage. Knowledge of AI/ML/DL development and ANSYS/TCAD modelling.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• 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

• Develop and implementation of structural optimization schemes for customized reinforcement configuration in reinforced concrete component.
• Conduct mechanical testing on steel-concrete composite elements.
• Collaborate with team members to ensure that all project milestones are achieved on schedule.
• Document findings comprehensively and prepare detailed reports for further analysis and review.

Qualifications

• PhD degree (or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields.
• Experience in research for structural optimization is desirable.
• Strong computational analysis skills and proficiency in using laboratory equipment.
• Ability to work independently and as part of a multi-disciplinary team.

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 AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at 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 at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical skills

• Basic Salary: $3000-$3500
• Working Hours: 44hrs/week
• Working Location: Farrer Park

Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct franchise unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Requirements：

• Diploma or higher in Math or Science.
• Minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects (Preferably Both Math & Science)

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

A research position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• Bachelor’s / Master's degree in computer science or related degree
• Strong publication record in top-tier IEEE conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

• Project Administrator
• Work location: Science Park
• Mode: Contract 1 yr renewable

Job requirements:

• Screen candidates by reviewing resumes
• Coordinate & follow-up the overall interview, selection, and closing process
• Ensure all screening, hiring, and selection is done in accordance with employment laws and regulations
• support the operation of the Technical Training department by assisting with administrative tasks, coordinating training schedules, maintaining records, and liaising with internal and external stakeholders.
• other admin PMO related tasks or adhoc task
• Diploma / Bachelor's Degree in Human Resources, Business Administration, or related field
• 2 to 3 years of recruiting experience in IT Field
• Ability to communicate effectively, both orally and in writing
• Demonstrated ability to establish effective and cooperative working relationships built on trust
• Excellent organizational and time management skills
• Ability to manage a wide range of relationships with a variety of stakeholders
• Proficient in Microsoft Office
• Working knowledge of interview techniques and applicant screening methods
• Deep understanding of employment laws and regulations

Interested applicants please send resume to [email protected] for a faster respond.

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between University of Cambridge, Nanyang Technological University and National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

Who are we looking for?

We are looking to fill research position in maritime decarbonisation modelling:

Computational Fluid Dynamics simulations of ammonia and methanol engines will be performed, leading to a better understanding of the pollutant-generation processes. In addition to excelling in handling turbulent combustion theory Extensive, experience in combustion CFD is necessary.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-c4t-cn14. If you have any questions, please feel free to reach out to the HR team at [email protected].

(Halal Conversion and Management, Training and Inspection/Audits)

Compliance Processing Officer [ Halal Food Cert ]

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2,400 - $2,800 + AWS + VB
• Location: Near Clarke Quay MRT

Requirements:

• Diploma in Food Science & Technology, Chemistry and other science-related fields
• Preferably 1 year working experience
• Able to travel locally.

Summary:

This role is supporting the company’s compliance program and services, including Halal Conversion and Management, Training, and Inspection/Audits. These positions require a combination of independent project work, compliance monitoring, and client-facing activities. Responsibilities include performing periodic audits, investigations, and hands-on service delivery, while also contributing to service development through a mix of on-the-job learning and formal training.

Responsibilities:

• Prepare detailed audit and investigation reports that highlight areas of non-compliance and associated risks.
• Document all compliance activities using designated checklists and databases according to company policies and workflows.
• Conduct timely follow-ups with clients, close audits efficiently, and ensure findings are resolved.
• Perform compliance audits and monitor various Halal operations.
• Maintain and organize both electronic and hard copy files and records.
• Prepare and process documents for submission to relevant authorities, ensuring timeliness.
• Continuously engage and communicate with clients and authorities as necessary for applications.
• Monitor audit activity schedules and provide thorough follow-up, including reviews of client corrective actions.
• Provide administrative support and contribute to project committees.
• Communicate proactively with clients via phone, email, and face-to-face meetings to gather feedback and information.
• Undertake any other assignments and tasks as required.
• Any other assignments and tasks given

#SCR-carson-cheong

⭕ Cheong Kar Chun ⭕ Team Manager ⭕ R1980386

⭕ The Supreme HR Advisory ⭕ 14C7279

(Halal Conversion and Management, Training and Inspection/Audits)

Compliance Processing Officer [ Halal Certificate ]

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2,300 - $2,800 + AWS + VB
• Location: Near Clarke Quay MRT

Requirements:

• Diploma in Food Science & Technology, Chemistry and other science-related fields
• Preferably 1 year working experience
• Able to travel locally.

Summary:

This role is supporting the company’s compliance program and services, including Halal Conversion and Management, Training, and Inspection/Audits. These positions require a combination of independent project work, compliance monitoring, and client-facing activities. Responsibilities include performing periodic audits, investigations, and hands-on service delivery, while also contributing to service development through a mix of on-the-job learning and formal training.

Responsibilities:

• Prepare detailed audit and investigation reports that highlight areas of non-compliance and associated risks.
• Document all compliance activities using designated checklists and databases according to company policies and workflows.
• Conduct timely follow-ups with clients, close audits efficiently, and ensure findings are resolved.
• Perform compliance audits and monitor various Halal operations.
• Maintain and organize both electronic and hard copy files and records.
• Prepare and process documents for submission to relevant authorities, ensuring timeliness.
• Continuously engage and communicate with clients and authorities as necessary for applications.
• Monitor audit activity schedules and provide thorough follow-up, including reviews of client corrective actions.
• Provide administrative support and contribute to project committees.
• Communicate proactively with clients via phone, email, and face-to-face meetings to gather feedback and information.
• Undertake any other assignments and tasks as required.
• Any other assignments and tasks given

#SCR-carson-cheong

⭕ Cheong Kar Chun ⭕ Team Manager ⭕ R1980386

⭕ The Supreme HR Advisory ⭕ 14C7279

Working days & hours: Mon to Fri, 9 am to 6pm

Working location: Raffles Place

Target start date: Immediate or less than 1 month notice

Responsibilities:

• Coordinate Global Marketing Science activities and operations to secure efficiency and compliance with company policies that includes contract management and payments processing.
• Own administrative tasks, ensuring team has adequate support to work efficiently.
• Support budgeting and expenses reporting.
• Coordinate meetings with different internal and external stakeholders, cross-team events and business trips.
• Manage complex calendar.
• Project manage Marketing Science on-boarding initiatives.
• Plan and execute team offsites and strategic planning sessions.

Requirements:

• 5 years experience in Procurement Processing (PR/PO), Contract Management, Admin Support and Complex Calendar, project coordination role.
• Possess great organizational skills.
• Exceptional verbal and written communications skills.
• Impeccable attention to detail.
• Has managed billing or procurement processes.
• Any experience working across organizations that focus on measurement or research is a plus.

Please contact Terence at +65 9645 4048 your resume directly for fast response.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

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 Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Process Systems Engineering and Machine Learning (AI) for Chemical Engineering. The ideal candidate would have experience in developing first principle process models in Matlab/gPROMS or Python, process optimization, machine learning for chemical processes.

What skills do you have?

Working with chemical process data. Understanding process design, process optimization. Coding in Python. Developing ML workflows.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-process-system-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Machine Learning (AI) for Chemistry and Chemoinformatics. The ideal candidate would have experience in working with chemical databases, developing machine learning workflows based on chemical data for synthesisor properties prediction. The successful candidate would have good understanding of machine learning methods and have experience of coding in Python.

What skills do you have?

Working with chemical data. Coding in Python. Working with different types of data. Working with chemistry related ML tools.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-chemoinformatics-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

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 Assistant in the Department of Computer Science, School of Computing (SoC). SoC 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 Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Job Responsibilities:

• Assist in the execution phase of grant and industry projects, including monitoring project milestones, risks, costs, and schedules.
• Collaborate with various functions within the organization to resolve roadblocks and ensure the programme and projects deliver key outcomes within the allocated time and budget.
• Update and maintain the internal research project database, and external engagement tracking.
• Support the Quantum Programme Office (QPO) in managing and ensuring proper and updated records of project variations, grant proposals, publications, patents, and technology disclosures.
• Administer overseas travel arrangements, including checking travel plans, budgets, and ensuring proper documentation and approval in compliance with existing policies.
• Assist the team in organizing technology road-mapping and scientific workshops/symposiums.
• Assist the QPO team in day-to-day operations and administrative duties.

Job Requirements:

• Degree in Science, Technology, or Engineering.
• Proficiency in relevant software and tools such as MS Excel, MS Project, and PowerBI preferred.
• Strong attention to detail.
• Ability to manage multiple tasks and projects simultaneously.
• Excellent problem-solving, analytical, and systems thinking abilities.
• Resourceful and independent.
• Ability to work collaboratively with internal and external stakeholders.
• Strong written and verbal communication skills.
• Familiarity with quantum technologies and their applications is advantageous.
• Minimum of 5 years of experience working in the public R&D sector

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 National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC 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 Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Computing Systems
• Programming Languages & Software Engineering

Job Requirements

• A Master’s degree in Computing; and
• Experience in research of LLM inference and training acceleration systems.
• Experience in paper and publications in LLM.