Total 4,356 job vacancies in Singapore

No experience required. Training is provided.

Unsure what’s next?

This role is designed for individuals who want to build real-world skills, gain confidence, and start a career with long-term growth.

You’ll receive hands-on training, mentorship, and exposure to sales, marketing, and leadership — all within a positive and supportive team culture.

What You’ll Gain

• Practical communication & people skills
• Real business and marketing experience
• Confidence, professionalism & leadership foundation
• Clear progression beyond entry-level roles
• Travel opportunities

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Computer-Systems%2C-Machine-Learning%29%2C-School-of-Computing/32568-en_GB/

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 successful candidates will be responsible for working closely with the incoming Assistant Professor Dr Jiang Wenqi, 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:

• Machine Learning Systems
• Computer Systems
• Computer Architecture
• Databases

Only shortlisted candidates will be notified. 

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research
• Solid background in computer systems, machine learning, or related areas

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Scaling-Cooperative-Intelligence%29%2C-School-of-Computing/32566-en_GB/

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 (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.

We are seeking a post-doctoral researcher to join a research group focused on scaling cooperative intelligence. The Research Fellow will be responsible for working closely with the Principal Investigator in one or more of the following research areas: (i) human-like cooperative agents; (ii) normative multi-agent systems; (iii) cooperative infrastructure for humans and AI.

Enquiries can be sent to xuan.cs@nus.edu.sg.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or a related field (e.g. Computational Cognitive Science or Computational Social Science).
• Interdisciplinary background in multi-agent systems, agent-based modeling, evolutionary game theory, cultural evolution, or related areas.
• Strong programming skills, and a solid foundation in mathematics and statistics.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

You will be part of a dynamic research team working on topics relevant to Electrification, Grids Testing and Certification based at the Electrification and Power Grids Centre (EPGC). The Testing & Certification team focuses on establishing capabilities and physical test setups to support emerging industry requirements for testing and verification of energy related applications such as energy storage systems (ESS), microgrid solutions, photovoltaic (PV) inverters, electric vehicle (EV) charging systems, and AI data centers.  This position is to recruit a member of the research team to work on a project on microgrid cybersecurity and digital twins.

Key Responsibilities:

• You will need to actively support R&D projects at EPGC in terms of project development, testing and verification/validation activities, test logistics planning/coordination, and sourcing and procurement.

• The role will include the following:

  • Assist in development of digital twins of power system networks, control/energy management systems and DERs such as ESS, PV and EV chargers.

  • Perform testing of microgrid solution and/or power system network using real-time simulation platform.

  • Familiarization of test standards for microgrids, ESS and EV charging; understanding of existing test procedures and processes.

  • Hands-on setup of test instrumentation; conducting tests on actual equipment-under-test.

  • Prepare project reports, minutes of meetings and documentation.

  • Work closely with industry partners to realize synergies in testbeds, testing and demonstration.

  • Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners.

  • Assist in authoring of technical publications for completed or ongoing research projects.

  • Host visits and presentations at test facility.

• You will also be responsible for daily operations of the EPGC facilities, including the following:

  • Lead in test planning/coordination activities at EPGC facility or collaborators’ locations.

  • Work with vendors/suppliers/contractors to ensure operational condition of test equipment/systems.

  • Perform safety and quality assessments, periodic operation and inspection tasks related to test setups.

  • Sourcing and procurement of project/facility consumables.

• You will be an integral part of the Testing & Certification team and will need to participate in project discussions especially related to project implementation details.

• Familiarity with electrical and power systems, energy storage systems, EV charging systems, test & measurement instruments, sensors/sensor networks, and PLC systems is preferred.

• Prior experience in OPAL RT simulation platform would be advantageous.

Job Requirements:

• Master’s degree in engineering (e.g. Electrical, Power Systems, or Clean/Renewable Energy related) with minimum 2 years’ relevant experience (preferred).

• Proficient in OPAL RT, MATLAB, familiarity with microgrid/ESS/EVSE technical standards, and cybersecurity technical standards preferred.

• Proficient in MS Office applications.

• Should be a very hands-on person, willing to take on non-routine tasks.

• Possess good communication (written and verbal) skills. Able to manage multiple stakeholders and work under tight timelines.

• Positive attitude, ability to work independently as well as in a team.

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

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Assistant (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Job Responsibilities:

• Literature review of existing methods and models

• Identify the weaknesses of existing models

• Propose and develop state-of-the-art methods to overcome existing problems.

• Train and evaluate the models and systemically compare them with recent models.

• Prepare papers and reports.

• Develop systems based on the developed models for agencies/commercial partners

• Supervise junior researchers and master students

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge of deep learning, specifically, foundation models, diffusion models is a must.
  1) For image/video watermarking: In depth knowledge of AI editing methods and property of generative models.

2)For video processing: In depth knowledge of open object detection, video summarization, key-frame extraction.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

• A strong publication record at top AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, and TMM

• Preferably publications related image/video watermarking or video processing

• Strong software implementation skills.

• Preferably 4 years+ research experience, including PhD study.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Expected to work closely with the PI and other team members to carry out research activities, including identifying promising research directions, conducting experiments, documenting research findings, and presenting these findings to the broader community.

• Expected to provide feedback and assistance to other team members and contribute to the overall growth of the team.

• Additional responsibilities include supporting team operations and proactively taking on new tasks when necessary to facilitate the team’s development.

• The candidate may also have opportunities to supervise junior researchers when appropriate.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics.

• Design and conduct chemical synthesis and analysis to generate high-quality datasets for training AI models.

• Mentor junior research lab members in experiments.

• Collaborate with a multidisciplinary team of researchers, including AI scientists and engineers.

• Stay current with advancements in RNA therapeutics innovation, contributing to the evolution of our methodologies.

• Participate in regular meetings and present findings to academic and industry stakeholders.

Job Requirements:

• Bachelor’s degree in Chemistry, Chemical Engineering, Pharmaceutical Sciences, Biochemistry, or a related field.

• Strong background in organic chemistry, medicinal chemistry and hands-on experience with wet-lab techniques (e.g., chemical synthesis and analysis, high-throughput screening) is preferred.

• Demonstrated interest or experience in RNA therapeutics and high-throughput innovation.

• Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Montfort Care is a vibrant workplace with a supportive culture where collaboration and camaraderie thrive. Our teams are highly cooperative, and colleagues genuinely care for each other. We celebrate diversity and innovation, united by our three core values: Dare to be Different, Teamwork, and CHIONG!

Expect a dynamic and fast-paced environment, as we are in an exciting phase of growth. Success here requires adaptability, agility, and the ability to navigate complexity. Our people stay with us because they find a strong sense of purpose and community, enjoying the opportunity to make a tangible difference in people's lives.

We offer a flexible work environment that values the importance of personal and professional growth. With plenty of opportunities for continuous learning and development, Montfort Care is an ideal place for those who want to grow their careers while contributing to meaningful change.

Join us to be part of an amazing team that's dedicated to making a difference and having fun while doing that!

RESPONSIBILITIES

The Admin Associate provides administrative and operational support to the Mental Health programmes and services while ensuring smooth coordination between teams, clients, and stakeholders. This role also includes, but not limiting, to the monitoring of staff movements in the area of hiring, training and transfer within the organisation. He/She supports the senior admin executive/senior staff in generating reports for senior management, funders and the respective Cluster Teams, as required. The incumbent supports the senior staff in overseeing key performance targets, processes, and the efficient operation of the mental health programmes.

The Admin Associate also provides facilities management support, which includes office maintenance issues, managing of contracts and financial claims for the teams.

Administrative and Operational Support

• Manage daily administrative operations, including scheduling, correspondence, and documentation
• Coordinate office and program logistics, facilities management, contracts and financial claims, ensuring alignment with organizational goals and policies
• Maintain accurate records for clients, stakeholders, and staff, ensuring compliance with confidentiality and data protection policies

Reporting and Data Management:

• Support senior staff in generating monthly and quarterly reports for funders, the C-suite, and other key stakeholders, providing insights into program performance and outcomes
• Support senior staff to prepare and present data summaries and analysis to inform strategic decision-making

Compliance

• Ensure all administrative processes comply with Montfort Care's policies and industry standards
• Assist in regular reviews or audits of documentation and administrative workflows

Data Entry and Analysis:

• Input and organize program data into relevant systems for tracking and reporting
• Assist with data collection and pre-processing, support Senior Programme Executive/ Assistant Manager to analysis and identify trends or insights that can inform team decisions
• Create charts or visualizations to support presentations or reports

Monitoring and Evaluation

• Support in the development of Mental Health's service planning document and manual including set up requirements (infrastructure, manpower, training, recruitment) and processes (outreach, screening, mental health information, service linkage & follow-up)
• Support performance evaluation across programmes to ensure alignment with divisions and organisational goals

• Diploma in Business Administration, Social Work, or a related field

Relevant Experience

• At least 2 years of relevant experience in administrative roles, preferably in a social service or healthcare setting

Competencies

• Good organizational and time-management skills
• Detail-oriented with a focus on accuracy in documentation and reporting
• Good written and verbal communication skills
• Proficiency in Microsoft Office (Word, Excel, PowerPoint) and database systems
• Familiarity with data entry, report writing, and basic analysis is an advantage

*Only shortlisted candidates will be notified.

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Fellow to support research activities on neuroimaging, and training-related brain changes in adults. The role will focus on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members.

Key Responsibilities:

• To conduct research in support of the CLIC objectives including:
  • Perform computational modelling and analysis of the neuroimaging and behavioural data from cognitive and related domain tasks
  • Development and implementation of neuroimaging data analyses pipelines
  • Conduct analysis of data and summarise research findings
  • Development and implementation of data transfer and curation protocols
  • Liaise with other workgroups on data management and multi-modal analyses
  • Write or contribute to publications or disseminate research findings using other appropriate media.
  • Make presentations at conferences or exhibit work in other appropriate events.
  • Coach, train and support colleagues in developing their research techniques.
• To develop own research interests within the scope of the CLIC programme.

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, biomedical engineering, computer science, or related fields.
• At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Advanced signal processing and programming skills (e.g. with Matlab, Python)
• Experience with neuroimaging techniques (MRI, EEG and/or TMS).
• Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc.
• Experience with statistical packages, especially R and SPSS
• Good statistical knowledge and skills
• Good IT skills (i.e., Microsoft Office®)
• Strong ability to work within a multidisciplinary team
• Strong interpersonal, written and verbal communication skills
• Excellent organizational skills and able to work within given deadlines

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for a Research Fellow to work on a project in the area of cyber-physical security analysis of modern power grids. The role will focus on cyber-physical modeling, simulation, and security assessment method development.

Key Responsibilities:

• Develop a high-fidelity Digital twin platform for modern power grid systems with coupled cyber-physical interaction layers.

• Simulate and access various cyber-attack vectors (e.g., data injection, remote control hijacking, protocol spoofing) to support power grid cyber-physical security assessment

• Provide an interface for external solution provides to test cybersecurity products virtually.

• Integrate with a Hardware-in-the-loop (HIL) platform for co-simulation tests on individual components in the power system.

Job Requirements:

• PhD degree in Electrical Engineering or related subjects.

• Expert knowledge in power system modeling and simulation

• Research experience with power system cyber-physical modeling and simulation.

• Excellent verbal and written communication skills in English - essential for data analysis and communication with stakeholders

• Strong analytical and conceptual abilities.

• Relevant industry working experience is highly preferred.

• Able to work independently and in a team to realize proposed research work.

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

Job Description and Requirements: The Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore strives to be at the cutting edge of legal developments in banking and finance by contributing ideas for improving the financial system at the national, regional and global levels. It aims to bring together a vibrant community to generate scholarship, policy recommendations and intellectual exchange about the robustness, soundness and stability of the banking sector, capital markets and other financial services. 

The Centre is inviting applications from suitable candidates to conduct research in the areas of contract law and/or corporate governance, with a focus on how these areas of law can and do promote and protect, or perhaps undermine, the interests of investors unfamiliar with the law. A few examples of suitable contract-related topics would be the role of good faith, the approach to contractual interpretation, the scope to imply terms, and rectification. As regards corporate governance, examples would be an investigation into its effectiveness in promoting stakeholders’ interests, a comparative analysis of different corporate governance models, and boardroom perceptions and attitudes to corporate governance. Applicants are welcome to put forward other topics falling within the broad coverage of contract and corporate governance.

The position offers an opportunity to new graduates wanting to trial an academic career, and practicing lawyers or in-house counsel looking for a change of routine and interested in experiencing academic life.  

BENEFITS 

1.    Employment on a full-time contract at NUS Law for one year. 

2.    A remuneration package, commensurate with qualifications and experience. 

3.    Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required. 

4.    Allocation of a workstation within CBFL. 

DUTIES 

1.    Develop and pursue a research agenda, including undertaking research projects on topics related to contract law with a focus on consumer investor protection and/or corporate governance, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.  

2.    Present work-in-progress at CBFL research seminars with a view to refining it for publication.

3.    Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership, including producing working papers and reports, contributing to the substantive content of CBFL publications, assisting with CBFL events, managing manuscripts and undertaking basic editing.

4.    Attend and contribute to CBFL events. 

5.    Successful candidates are expected to be in residence in Singapore throughout the term of your appointment, subject to the standard NUS terms for annual leave. 

REQUIREMENTS 

The applicant requires good organisational skills, self-motivation, diligence, the ability to meet deadlines, and an eye for detail. A strong command, oral and written, of the English language is essential, as well as evidence of an ability to produce publishable research independently. The relevant academic qualifications (and their corresponding positions) are as follows: Research Fellow - has recently obtained a PhD degree in law. 

APPLICATION PROCEDURE 

The application must comprise:  

1.    Covering letter 

This should, inter alia, explain the reason for your interest in the position. Note that you need not identify a preference for any one of the specific listed positions; this will be determined by your qualifications, background, and expertise. 

2.    Curriculum Vitae 

A curriculum vitae should be submitted containing complete and detailed information on your academic institutions, honours, awards, all publications to date, and all professional experience (current and previous, including dates of employment and job descriptions). 

3.    Writing sample 

As the successful applicant is expected to develop his or her own research to publishable standard, a writing sample (which should ideally be on some aspect related to your proposed research) must be included with the application. The sample must be submitted in Word format only

4.    Referees

Applicants should list three to five referees and their email addresses in their CV, who can be approached to provide letters of recommendation.

Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Physics%29/32561-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Marc Hon and Prof. Anthony Tung from the NUS School of Computing on an interdisciplinary NUS Physics × Computing project: AI-Driven Discovery of Dark Matter Candidates via Gravitational Microlensing. 

The responsibilities of the position include:

• Designing methods for anomaly detection in irregularly sampled time-series of stellar brightness over time
• Physics-aware generation of time-series data containing transient events
• Coordination with Physics and Computing teams for applications to next-generation astronomical surveys

The role is ideal for someone with a strong computational background combined with an interest in time-domain AI and scientific machine learning. Expertise in astrophysics can be developed during the project.

Qualifications

Bachelor’s Degree in Data Science, Computer Science, Physics, or a similar quantitative field.

Skills:

• Strong analytical and computational skills in data science, statistical analysis, or machine learning.
• Proficiency with PyTorch and data analysis frameworks in Python.
• Familiarity with large, complex datasets and modern computational techniques.
• Good written and oral scientific communication skills.

Experience:

• Demonstrated experience conducting independent research involving the analysis of large datasets.
• Familiarity with modern machine learning methodologies, particularly for time-series data.
• A record of relevant projects involving temporal data and/or time-series analyses is desirable.

Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/32554-en_GB/?st=B4F0BB890E1B2C104B997DC78512E046CAC5DE27

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Toh Kim Chuan on methods for convex relaxations of polynomial optimization under a project on "Methods for nonsmooth nonconvex optimization".

The main responsibilities of the position include the followings: 
•    Conduct independent research on the design, analysis and implementation of efficient and robust algorithms for large-scale structured polynomial optimization problems.
•    Conduct simulations and experiments to validate established theoretical results and evaluate the performance of the proposed algorithms.
•    Prepare technical reports, research papers, and presentations for academic conferences and journals.
•    Work closely with faculty members, postdocs, and PhD students on research projects.

Qualifications / Discipline:  
•    Graduating PhD or recent PhD holder specializing in computational optimization. 

Skills: 
•    Advanced knowledge on optimization theory and algorithms at PhD level is required, especially strong theoretical and numerical understanding of advanced polynomial optimization algorithms for matrix polynomial optimization 
problems.
•    Proficiency in Python or Julia, Matlab for algorithmic implementation. 
•    Good academic writing and presentation skills for publishing research findings.
•    Ability to work independently and collaboratively in an interdisciplinary research environment.

Experience:   
•    At least 2 years of independent research experience in the analysis of convex relaxations for polynomial optimization problems.
•    Demonstrated research and intellectual ability, such as having published research papers in premier optimization journals related to the job requirements.  

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 battery scientist to develop battery management system.

Key Responsibilities:

• Electrochemical process on interface phenomena

• Battery testing under different conditions

• Simulation of scaled up process.

• Interface with machine learning group on data base set up

• Battery safety testing

Job Requirements:

• Candidates with strong background in Materials Chemistry/Physical Chemistry.

• Experience with energy storage system or electrochemical system (Batteries)

• Ph.D in chemistry/ Materials Science/physics

• encourage initiating activities on battery development, devising, and analytic process

• experience on machine learning will be preferred 

• Good oral and written communication skills.

• Candidate with strong publication/patent records will be preferred

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

Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Scientist-%28A%29-%28Aerodynamics%29/32558-en_GB/?st=9528CBB8F1097472C3232A6A081B514EC18A3336

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the position of Research Scientist to contribute to computational fluid dynamics (CFD) research in aerodynamics.

Roles and Responsibilities:

The successful applicant will join a large, highly motivated research group focused on experimental measurements and numerical simulations across a broad range of aerodynamics and fluid mechanics problems. The position offers access to extensive high-performance computing resources at NUS and the National Supercomputing Centre, as well as state-of-the-art experimental facilities and instrumentation.

Essential skillsets

• Strong experience and understanding of aerodynamics and/or fluid mechanics
• Background in one or more of the following areas: bluff-body flows, airfoils, active and passive flow control, boundary-layer flows, multiphase flows, and bio-inspired aerodynamics
• Demonstratable prior experience in CFD using commercially available software such as Star-CCM, Fluent and OpenFOAM
• Experience in programming using MATLAB or similar languages for data post-processing and analysis
• Ability to work independently and as part of a team
• Good written and oral communication skills

Desirable skillsets

• Experience in code development and numerical scheme implementation
• Experience in applying machine learning techniques to engineering or scientific problems

Qualifications

Candidates should hold a Doctoral degree in Mechanical Engineering, Aeronautical Engineering, or a closely related discipline, with a strong foundation in fluid dynamics.

The appointee will be expected to actively disseminate research outcomes by leading the preparation of manuscripts for peer-reviewed journals, presenting findings at international conferences, and showcasing results at other appropriate forums. The role also involves supporting project-related administrative duties, including risk assessments, coordination of project meetings, and research documentation, as well as any other responsibilities assigned by the line manager following consultation with the post holder.

To apply, please send your cover letter, CV and names of 3 references (name, institution, email) to NUS Career Portal. Only shortlisted candidates will be contacted

Join our Prime Financial Services team as an Analyst where you'll play a crucial role in delivering the highest standard of client service. Be part of a dynamic environment that values efficiency, quality, and client satisfaction, and take your career to new heights.

As an Associate - Account Manager in Prime Financial Services, you will act as an escalation contact, ensuring all client service-related tasks are completed promptly with a high degree of quality and efficiency. You will manage incoming communications and paperwork related to account maintenance, ensuring clients' needs and expectations are met and analyzed to maintain agreed quality standards.

Job Responsibilities:

• Oversee clients' end-to-end Prime Brokerage and clearing activities and strategy across J.P. Morgan, serving as the point of escalation for all aspects of their accounts, including technology, operations, financing, reporting, legal, and risk.

• Navigate the firm on behalf of the client, liaising with Technology, Middle Office, Operations, Product Development, Technology Client Support & Integration, Transition, Finance, Legal, Risk, Credit, Compliance, and other Lines of Business.

• Stay informed about broader industry and regulatory developments and provide relevant updates to clients.

• Understand clients' short and long-term goals and develop cross-selling opportunities complementary to J.P. Morgan businesses.

• Manage day-to-day client interaction, leading service reviews, account planning, writing call reports, and following up on actions; review client balances, P&L, position and cash management, and any significant variances from the norm.

• Ensure all client issues and requests are managed within the Firm’s compliance, managing organic KYC processes and risk through close attention to client overdrafts and unpaid bills, escalating risk-related issues as required.

• Advise clients on and assist with incremental account setup and operational procedures, liaising with Implementations to ensure correct account setups, and record client interactions in the Service Portal.

Required Qualifications, Capabilities, and Skills:

• Minimum 3 years of relevant experience

• Bachelors degree or equivalent

• Strong verbal and written communication skills, with proven ability to negotiate.

• Attention to detail and accuracy, adaptability, and flexibility.

• Proven client service skills.

• Ability to manage multiple tasks and prioritize effectively.

• Good time management skills and ability to work to deadlines.

• Proficiency in Excel and PC skills.

Preferred Qualifications, Capabilities, and Skills:

• Demonstrates cultural sensitivity and awareness.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=e378c3c8347b04abb6d86a002b263789

Job Scope:

• Perform routine lab tasks as required
• Other ad-hoc duties as required

Requirements:

• Minimum Diploma in Biomedical Science required
• No experience needed as on job training will be provided
• Minimum commitment: 3 months

Interested candidates can write in to Ann at pharma@recruitexpress.com.sg

Ann Goh Xin Ting
R1875289

RecruitExpress Pte Ltd
E.A License: 99C4599

Responsibilities:

• Greet and register patients
• Schedule patient appointment
• Coordinate specialists' consultation referrals
• Handle payments and respond to patient enquiries in a courteous and professional manner
• Manage patient concerns, ensuring timely resolution and escalation when necessary
• Communicate effectively with patients to provide a high level of customer service
• Will be stationed at Health monitoring station based on roster. Involved in taking height / weight and blood pressure for patients at Health monitoring station

Requirements:

• Minimum GCE ‘N’ level
• No exp needed, training provided
• Healthcare experience will be an advantage but not compulsory

$2500 (Fixed salary)

Interested candidates, please forward your resume to jalenetan@recruitexpress.com.sg

Consultant: Jalene Tan (R26160390)
Recruit Express Pte Ltd (99C4599)

Looking for a fun and vibrant environment that supports growth? We welcome you! ☺️

Responsibilities