Join Our Team at the National Centre for Advanced Integrated Photonics, Nanyang Technological University, Singapore

The National Centre for Advanced Integrated Photonics (NCAIP) at NTU Singapore hosts research activities in advanced integrated photonics domain.

Position Available: Research Fellow (Electrical Modulator)

Key Responsibilities:

• To be responsible for all the research activities related to electrical-optical modulator calculation, simulation and design.
• To study the resources of non-linearity of analog modulation by investigating carrier and photon dynamics beyond the linear regime.
• To be responsible for administrative and logistical upkeep pertaining to laboratory operations.

Job Requirements:

• Ph.D. degree in either engineering, computer science or applied physics or relevant subject from well-established universities/institutes.
• Must be highly motivated in multidisciplinary research. He/she must have proven experience in electrical-optics modulator.
• Good experience in electrical-optics modulator design.
• Able to work independently as well as in a team.

We regret that only shortlisted candidates will be notified.

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of studying the roles of RNA modifications in human immunue diseases. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

• B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.
• Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notifie

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Key Responsibilities:

• To develop and setup the technique fs laser direct-write and optical cavity integration.
• To setup and align optical beamlines/setups for home-built micro-transient optical spectroscopy experiments.
• To conduct micro-transient absorption spectroscopy studies on the measurements of carrier diffusion length.
• To perform data analysis and data interpretation of micro-transient optical spectroscopy experiments independently.
• To assist the principal investigator with the writing of research papers.

Job Requirements:

• Candidate must possess at least a Master Degree in Physics or Chemistry or Chemical Sciences.
• In addition to Master degree, candidate must possess at least a BSc 1st Class/2nd Class Upper Honours Degree in Physics or Chemistry or Chemical Sciences or nanomaterials and nanotechnology.
• Candidate will be tasked to prepare perovskite nanomaterials and conduct ultrafast optical spectroscopy studies on them.
• He/She is also required to perform data analysis and data interpretation.
• Excellent knowledge in chemical synthesis, optics, photophysics of semiconductors, charge and quasi-particle dynamics, charge transfer mechanisms, femtosecond lasers, and femtosecond laser spectroscopy is essential. A written and oral test of the candidate’s technical competency of femtosecond lasers, photophysics concepts, and ultrafast optical spectroscopy basics will be conducted during the interview.
• Excellent knowledge in the optical characterization of semiconductor materials (including nanostructures) which includes transient spectroscopy (pump-probe, time-resolved PL), and material characterizations (XRD, AFM, GIWAXS/GISAXS).
• Critical Requirement: Candidate must have a Minimum 3 Years of Research Experience in Ultrafast Lasers and Ultrafast Laser Spectroscopy of semiconductor materials.
• Critical Requirement: Candidate must also have a Minimum 3 Years of Research Experience in the study of photophysics in semiconductor systems.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret to inform that only shortlisted candidates will be notified.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for suitable Research Fellow who is interested to work with Dr Prateek Bansal's research group at the National University of Singapore (NUS). The project involves understanding preferences for Mobility-as-a-Service (MaaS), estimating its effect on public transport, and quantifying system-level emission impact of MaaS.

The candidate will be responsible for:

• In-depth review of the literature.
• Designing and conducting stated preference experiments
• Developing and estimating discrete choice models
• Devising optimization-based approaches for system-level MaaS design by integrating results from discrete choice models.
• Creating an agent-based model to simulate the emission impact of MaaS

The successful applicant is expected to pursue independent as well as collaborative research and must be willing to participate in writing grant proposals and supervising doctoral/postgraduate research students.

Job Requirements

• Possess a PhD degree in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines.
• Has good understanding of discrete choice experiments and model estimation,
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Strong written and spoken communications.
• 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 appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

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) positions in the Department of Chemical and Biomolecular Engineering at National University of Singapore (NUS).

The primary objectives of these two positions are to foster a profound design principle towards novel, cost-effective electrocatalysts and reactors for the efficient conversion of CO2/CO into liquid fuels. Furthermore, these roles will involve exploring the potential for synergizing biochemistry and electrochemistry, with the overarching goal of enhancing selectivity and efficiency in the conversion of CO2 into multi-carbon products. Extensive state-of-the-art infrastructures for materials synthesis and physical characterizations are established at the Department.

The research fellows are 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

The applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with 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.

We are seeking a highly motivated and skilled Research Officer to join our team. The successful candidate will be responsible for implementing and optimizing algorithms for the generation of synthetic RNAs. This role involves a strong emphasis on computational biology, algorithm development, and the application of machine learning techniques to simulate RNA sequences and structures.

Key Responsibilities:

• Develop, implement, and optimize algorithms for generating synthetic RNA sequences with specific properties.
• Collaborate with cross-functional teams to integrate these algorithms into our synthetic biology platform.
• Analyze large datasets to validate the accuracy and efficiency of generated synthetic RNAs.
• Work closely with experimental biologists to design in silico RNA sequences that can be tested in the lab.
• Contribute to the development of software tools that assist in the design and simulation of synthetic RNAs.
• Stay updated with the latest research and technological advancements in the field of RNA biology and synthetic biology.
• Document research findings and present them at internal meetings and external conferences.

Requirements:

• A Master or Bachelor degree in Computational Biology, Bioinformatics, Synthetic Biology, Computer Science, Statistics, or a related field.
• Strong programming skills in languages such as Python, R, or C++.
• Experience with RNA sequence analysis, algorithm development, or machine learning is preferred.
• Familiarity with RNA secondary structure prediction and synthetic biology principles is a plus.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

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.

We are expanding our laboratory unit at the Pediatric Brain Tumor Research Office, SingHealth Duke-NUS Academic Medical Center. This is a Research Officer position. You will be working on molecular and cellular characterization of genes and biochemical/functional experiments related to translational aspects of human carcinogenesis, as well as mouse models.

Requirements:

- Bachelor of Science with Honors.
- Technical competence in a broad set of laboratory skills.
- Laboratory experience in molecular biological and cell culture techniques will be required.
- Experience in handling experiment with laboratory mice.
- Fluent in both written and spoken English.
- Ability to work independently, a good team player with good communication skills and dedication to the job.
- Conscientious, well organized and efficient in work management.
- Basic skills in computing and statistics analyses.

You are expected to work in a very friendly laboratory environment, with great learning opportunities, and mentorship from a clinician-scientist. Motivated individuals with good academic performance are encouraged to apply.

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in heterogeneous catalysis to develop improved catalyst formulations for conversion of plastic waste into carbon nanotubes and hydrogen.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to develop catalysts that will allow to reduce catalyst cost and increase carbon nanotubes yield to make the process more economically viable.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Catalyst formulation and testing in pyrolysis-CVD process;
• Liaising with toll manufacturers regarding the feasibility of scaled up catalyst production.
• Cost-benefit analysis for the developed catalyst(s).
• Publishing research papers and documenting developed intellectual property. Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to heterogeneous catalysis (e.g., Chemical Engineering, Materials Science, Environmental Engineering or other).
• PhD thesis or postdoctoral experience related to heterogeneous catalysis for at least one of the following areas: (a) catalytic waste conversion into carbon nanotubes and hydrogen, (b) catalytic single-walled and/or multi-walled carbon nanotube synthesis from any feedstocks.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results even under challenging circumstances and understanding what needs to be done to deliver the project.

We regret to inform that only shortlisted candidates will be notified.

About the position

Based in Singapore and supporting Singapore, Indonesia and Malaysia, you will contribute to the firm, by developing analysis and conveying insights to enhance clients’ decision making. You will play an active role in all aspects of client engagement: helping identify issues, forming hypotheses, conducting analysis, and synthesising conclusions into recommendations.

You will combine technical strength with a strong track record of leadership and performance in team-oriented environments.

You will work in a dynamic, intellectually stimulating, and demanding yet supportive environment. You will enjoy autonomy, the opportunity to substantially influence major decisions in the energy sector, and to grow into an industry expert under the guidance of senior members of the team with deep experience addressing major strategic issues at the world’s leading advisory firms.

The position suits a recent STEM graduate of a bachelor’s or master’s programme.

Key responsibilities

• Develop timely and rigorous quantitative analyses to enhance clients’ decision making
• Work closely with our modelling team, structuring economic problems into quantifiable analyses and deriving insights from the model results
• Contribute to our product development, by identifying new opportunities and expanding our capabilities
• Engage with clients to thoroughly understand their requirements
• Communicate findings to clients

What we are looking for

Required attributes:

• First-class or high second-class degree in a quantitative subject (Mathematics, Economics, Science, Engineering or Finance).
• Proficiency in English and Malay language is a must to be able to collect data and information from Singapore, Indonesia and Malaysia.
• Ability to analyse and interpret complex quantitative data and information.
• Evidence of strong performance in team-oriented environments.
• An ability to communicate and collaborate with both technical and non-technical parties.

What we offer

• The opportunity to substantially influence major decisions in the energy sector.
• Direct engagement with clients through Aurora conferences, workshops and webinars.
• The opportunity to grow into a publicly visible industry expert.
• A fun, informal and international work culture.
• Private medical insurance
• Access to employee discount platform - Perkbox
• Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills
• Access to our Employee Assistance Programme (EAP), offering a complete support network that offers expert advice and compassionate guidance 24/7/365, covering a wide range of personal and professional aspects.

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership and pregnancy and maternity.

About us

From its academic roots, Aurora Energy Research has grown to be the largest dedicated power market analytics company in Europe, providing data-driven intelligence for strategic decisions in the global energy transformation. We are a diverse team of 600 experts with vast energy, financial, and consulting backgrounds, covering power, renewables, hydrogen, carbon, and fossil commodities.

We are active across in Europe, the Asia-Pacific region, and the Americas, working with world-leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software. We are a thriving, rapidly growing company with offices across the globe and more opening soon. We currently serve around 200 of APAC’s most influential energy sector participants, including utilities, investors, and governments, and expect to continue to grow rapidly, adding new countries and products to our portfolio.

Job Description:

We are seeking for a skilled and motivated Quantitative Research Analyst to join our Quantamental Investment team. The successful candidate will play a key role in the development and implementation of quantitative trading and investment strategies. As a Quantitative Research Analyst, you will have the opportunity to work on cutting-edge research projects and contribute to the success of our investment strategies.

Key Responsibilities:

• Conduct thorough backtesting of trading strategies using historical market data to evaluate performance, identify potential risks, and validate assumptions.
• Demonstrate proficiency in calculating and backtesting various factors that drive stock returns, including but not limited to value, momentum, size, quality, and volatility. Identify and research new factors or alpha signals that have the potential to generate superior risk-adjusted returns, conducting rigorous analysis to validate their efficacy and robustness.
• Monitor and analyze real-time market data, news, and events to adapt trading strategies and make informed investment decisions in dynamic market conditions.
• Document research methodologies, findings, and results in clear and concise reports, presentations, and research notes for internal stakeholders and clients.
• Mentor junior members of the research team and provide guidance on quantitative methods, programming techniques, and best practices.

Requirements:

• A bachelor's degree or higher in a quantitative field such as Quantitative Finance, Mathematics, Statistics, Computer Science, or a related discipline.
• No prior experience required in the equity market, with a strong background in factor investing strategies. Candidates with experience in China A-share market and US market are preferred.
• Proficiency in programming languages and tools such as Python, SQL, SAS, and C++.
• A keen interest in investment, strong learning ability, excellent teamwork skills, self-driven, and a strong sense of responsibility.
• Strong communication skills in both English and Chinese, with the ability to effectively collaborate with team members across different regions and departments.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The job is to conduct research on the evaluation of pre-trained vision-language models' video understanding capabilities and the utilization of these pre-trained models for video question answering.

Candidate's core responsibilities are:

• Collect data through web crawling and/or crowdsourcing
• Implement baseline methods based on previous research papers
• Implement new methods to improve the performance of large language models
• Conduct experiments to empirically evaluate different methods
• Contribute to the preparation of manuscripts for publication

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in video processing, analysis, and research
• Excellent knowledge in large-scale video processing and search
• Good knowledge and experience in system development and engineering
• Good skill in computer programming
• Good knowledge in dataset curation and preparation of dataset for deep learning
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems

#LI-JN2

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

The Air Traffic Management Research Institute (ATMRI) is the first institute in Singapore to be entirely dedicated to Air Traffic Management research. As part of its agenda for innovation, it is seeking to recruit a Research Engineer to work on the AI-Assisted ATFM project, to deliver an operationally ready prototype of an AI enabled ATFM system. This job will be responsible for contributing to the research transition into development, by documenting existing AI tools, including those designed by ATMRI researchers, and integrate them into operational software development.

Key Responsibilities:

• Interpret research papers and program, for conversion into applicable software development. Develop a vision for transforming research papers into technologies ready for deployment.
• Design and develop the front and backend of the applied research, for operational use. Work closely with the researchers and stakeholders to design a user-centric, ready for development software that emphasizes the benefits for end-users.
• Rigorously document every aspect of the software development, for integration into industrial development.
• Participate in meetings and workshops with fellow researchers and stakeholder partners to discuss the future directions for research and development.

Job Requirements:

• Bachelor / Master of Engineering in Computer Science or a related field.
• Impeccable English writing and communication skills
• 1+ year experience in industrial software development
• Experience in the development of APIs, UI, authentication and actualization systems, with proficiency in several programming languages (Python, Java, C++…)
• Industrial or operational prior experience in air traffic services is a plus.

We regret that only shortlisted candidates will be notified.

We are seeking a passionate and motivated User Experience Design Intern to join our team. In this role, you will collaborate closely with the Business Development team to create seamless and engaging user experiences for our clients. If you have a keen interest in user experience design and enjoy conducting usability research, this opportunity is perfect for you.

Responsibilities

• Conceptualization & Prototyping: Develop and prototype UI/UX solutions that enhance user experiences across various platforms.
• Design Creation: Create visually appealing collateral and graphics for our WebApp, mobile applications, and marketing materials.
• Design Guidelines: Understand and apply design guidelines and UI/UX patterns to produce professional outputs that are usable, consistent, and intuitive for users.
• Insights Gathering: Collect insights on product adoption and improvements, track key performance indicators (KPIs), identify essential metrics, and suggest further iterations based on findings.
• Data Analysis Support: Assist in data acquisition and analysis related to product claims, consumer research, and competitor benchmarking.
• User Research Activities: Conduct user research activities including usability testing, A/B testing, stakeholder interviews, and surveys. Translate research findings into actionable recommendations.
• Behavioral Analysis: Analyze quantitative data to understand customer behavior, expectations, and the performance of features.
• Mini Project Delivery: Complete a mini project focused on the user experience journey for our Learning Management System (LMS) as assigned by your internship supervisor.

Requirements

• Education: Currently enrolled in a university or polytechnic program, preferably in a design-related major such as Human-Computer Interaction, User Experience Design/Research, Industrial Design Engineering, or a related engineering discipline.
• Design Tools Proficiency: Familiarity with at least two mainstream design and collaboration tools (e.g., Figma, Sketch, Adobe Illustrator, Adobe XD, Adobe Photoshop, InVisionApp, Flinto).
• Analytical Skills: Strong analytical and statistical skills; proficiency in data analysis software or AI tools for big data analysis is preferred. A genuine interest in using data and user research to inform design decisions is essential.
• Self-Starter Attitude: A proactive individual who is results-oriented and resilient in the face of challenges or setbacks.
• Communication Skills: Excellent oral and written communication skills; comfortable negotiating and interacting with senior decision-makers.
• Adaptability: Quick learner who can adapt to changes efficiently while working both independently and collaboratively within a team.
• Data-Driven Mindset: Strong ability to analyze quantitative data to derive insights and develop effective solutions.
• Bonus Experience: Previous experience in tech startups or roles related to Product Design, UI/UX design, or Graphic Design will be considered an advantage.

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.

Research Fellow

We are seeking to recruit a Postdoctoral Fellow (Research Fellow). A person with background in molecular biology, cell culture, imaging and data analysis (including modelling and python programming) and has theoretical background on actin are encouraged to apply.

The MBI and NUS provide state-of-the-art facilities dedicated to microfluidics, high-resolution imaging, and cell culture that will support the fellow in training, setup, and execution of the project, and the successful candidate will have the opportunity to work closely with talented and motivated research staff, interdisciplinary PIs, and clinician scientists.

Qualifications

1. PhD in molecular cell biology or relevant biomedical disciplines. Candidates in the process of completing their PhDs in the relevant disciplines may also apply.
2. Competence in molecular biology, biochemistry, cell culture, and confocal microscopy.
3. Experiece in image analysis, photomanipulation and bioinformatics are highly desired.
4. Excellent communication and organizational skills
5. Highly motivated to work both independently and as a team member

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow to work on design and flexible electronics. The role will focus on Investigate new functional materials and material composites for sensors, electrodes, substrate, and develop strain sensor array with lightweight in large scale.

Key Responsibilities:

• Participate in the conduct of research project with research team members to ensure completion of deliverables
• Designed, develop and fabrication flexible sensor array, integrate biosensors into hybrid electronic devices, advancing wearable device functionality.
• Collaborate with internal and external stakeholder on Hybrid-Integrated Next-Generation μ-Electronics
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences .
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD degree in Materials Science and Engineering or related field
• At least 4 years of relevant experiences in flexible electronics
• Expertise in flexible electronics, mechanical sensors, strain sensors, tactile sensors.
• Proficiency in mechanical testing, electrical testing, materials characterization, system integration
• Good written and oral communication skills
• Capable of design and assemble of device prototypes.
• Candidates with publications in top-tier scientific journals are preferred.

We regret to inform 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

We have openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide supervision and guidance to junior members of the team.

You will be part of a well-funded initiative to create quantum networks of superconducting circuits mediated by telecom photons. Your job could include the following subjects:

• Leading the design and fabrication of superconducting qubits that resist to moderate magnetic fields
• Spearheading the development and fabrication of chips that combine superconducting circuits and integrated photonics
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits
• Measuring quantum correlations between microwave photons at cryogenic temperature and telecom photons at room temperature

You will also work closely with the Principal Investigator to develop future experimental goals and shape the general research direction of the group. There will also be ample opportunity to explore your own ideas and participate in grant-writing processes. We aim to provide you a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step!

ABOUT THE GROUP

Qove Laboratory is led by Assistant Professor Steven Touzard and located at the National University of Singapore. The lab is funded by the prestigious NRF Fellowship. Our group works on a large range of quantum technologies, with currently an emphasis on remotely entangling superconducting qubits with telecom photons to form long-range quantum networks.

To know more, go to https://qovelab.com

Qualifications

Postdoc applicants should have proven research experience and have a strong interest in quantum technologies. Furthermore, a PhD in Experimental Physics or Engineering is required, as well as knowledge on quantum optics measurement, optical fiber equipment, as well as cryogenic equipment. Ideally you received your PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments.