Total 10,181 job vacancies in Singapore

**Salary:** $2,500 – $3,000 (depending on experience)

**Working Hours:** Monday to Friday, 8:00 AM – 6:00 PM

**Rest Days:** 8 days per month

**Company Background:**

A wholesale hardware company specializing in pneumatic products and fasteners.

**Job Responsibilities:**

* Handle incoming calls and emails.

* Perform data entry and prepare basic financial reports.

* Manage accounts receivable and related tasks.

* Provide general administrative support as required.

**Job Requirements:**

* Basic proficiency in office software and accounting systems.

* Able to communicate in basic English.

* Detail-oriented and responsible.

* Non-smoker only.

**Benefits:**

* Annual leave and medical leave after confirmation.

* Salary increment opportunities based on performance.

**Work Location:** Pioneer (EW28, Green Line)**

LEE LAI MUN 

R1657696

Job Summary

We are a dynamic telecommunications company expanding operations and urgently seeking a skilled individual with at least 2 years of experience managing accounts payable/accounts receivable and full set of accounts.

Responsibilities

• Manage accounts payable and accounts receivable processes to ensure accurate and timely financial transactions
• Prepare and maintain full set of accounts to support financial reporting and compliance
• Perform administrative tasks to support accounting operations and enhance workflow efficiency
• Run weekly / monthly performance reports to management
• Do stock-take on inventories
• Any other ad-hoc admin duties

Other Information

• Location: Main office at Geylang Road
• Work schedule: 5-day work week
• Compensation: Competitive remuneration and benefits

Assistant Professor Position in Computing Science(Singapore)

COLLEGE OF SCIENCE & ENGINEERING

SCHOOL OF COMPUTING SCIENCE

Learning, Teaching and Scholarship

Grade7/8

Competitive Salary

Job Purpose

Full-time position in Singapore to deliver teaching on the BSc degree programme in Computing Science offered jointly by the University of Glasgow (through the University of Glasgow Singapore (UGS)) and Singapore Institute of Technology (SIT); to engage in scholarship in order to contribute to the advancement of the discipline and/or its teaching practice at course, degree programme, school, institution, profession and national levels; and, to undertake administrative and management tasks associated with University of Glasgow Singapore activities. The required areas of expertise for thisposition are: (1) Artificial Intelligence and Deep Learning (2) Operating System (3) Programming. Additionally, knowledge of Software Engineering is desirable.

UGS is a subsidiary of theUniversity of Glasgow that works in partnership with SIT. Its mission is to:

·      deliver undergraduate Honours degree programmes to the same high standard as those of University of Glasgow in the UK for a high quality education that equips students for a lifetime career as leaders in industry and commerce

·      provide PhD and professional development training in support of industry in Singapore

·      develop research and development collaboration with industry and other organisations in Singapore

·      engage with the research community in Singapore and developing links with research groups on the Glasgow campus

·      establish and promote its multidisciplinary research portfolio in an international context and fully engage with societal changes as identified by major international funding bodies.

This post is based at the Punggol campus of SIT in Singapore and from time to time, you may be required to work at a different campus. There is a requirement to visit the UK annually for induction and personal development activities as appropriate.

Note: This job description is for the ‘Learning, Teaching and Scholarship’ track.

Main Duties and Responsibilities

1. Take a leading role in the planning, organisation, delivery and assessment of undergraduate teaching activities in computing science and engineering within UGS, in a manner that supports an enhanced student learning experience.

2. Collaborate with colleagues at the University of Glasgow and SIT to ensure coherent delivery of the degree programmes at UGS.

3. Participate fully in assessment and examination processes using a variety of methods, as appropriate, and provide feedback to students that is relevant, timely and supports learning.

4. Supervise and oversee individual and team student projects.

5. Contribute as appropriate to the Overseas Immersion Programme (OIP) taught at the Glasgow campus during the summer.

6. Engagement in scholarship: attendance and participation in seminars / conferences within subject area and in relation to teaching practice. Ensuring that teaching practices are of the highest standard relative to international best practices.

7. Work with colleagues in Glasgow and Singapore to develop joint teaching and learning projects and to secure the funding required to underpin the long-term growth of teaching and learning innovation.

8. Disseminate scholarship of teaching and learning (SoTL) through publications in journals and presentations at national and international conferences, enhancing the reputation of the University of Glasgow Singapore.

9. Engage in professional development activities as appropriate and in external academic and professional activities to enhance the reputation of the University of Glasgow Singapore.

10. Contribute to the administrative and management duties of the University of Glasgow Singapore, as allocated by the UGS Director and/or the UGS Computing Science Programme Director.

Knowledge, Qualifications, Skills and Experience

Knowledge/Qualifications

Essential:
A1 A good Honours degree in a relevant discipline

A2 PhD, or the equivalent professional qualifications and experience in computing science with previous personal development in a similar or related role(s)

A3 Experience in teaching coursesin Programming, Software Engineering, Machine Learning, IoT, Data Analytics, Algorithms and Programming

A4 Comprehensive and up to date knowledge of developments in teaching, learning and assessment practices
A5 Experience in teaching in the areas of expertise listed above and/or related subject areas
A6 Evidence of innovation in teaching methods.

A7 Willingness to work in Singapore to deliver this role, subject to working and residency permissions.

Skills

Essential:

C1 Proven track-record of effective teaching at undergraduate and/or taught postgraduate level

C2 Excellent team leadership skills including demonstrable supervisory skills

C3 Appropriate workload/time/project/budget/people management skills

C4 Excellent interpersonal skills including team working and a collegiate approach

C5 Excellent communication skills(oral and written) in appropriate range of contexts

C6 Strong problem solving skills including a flexible and pragmatic approach

C7 Ability and willingness to take on appropriate administrative duties within UGS

C8 Ability to provide strategic contribution within UGS and at School level

C9 A commitment to high quality teaching practices
C10 Ability to disseminate conceptual and complex ideas to a wide variety of audiences to promote understanding

Desirable:
D1 Experience and specialist knowledge in innovative approaches to assessment and feedback in HE

Experience

Essential:

E1 A demonstrable, excellent teaching track record
E2 Experience of developing and maintaining innovative teaching practices.
E3 Experience in designing and developing undergraduate and/or postgraduate taught courses
E4 An excellent track record of performing administrative duties in a HE institution
E5 Track record of student supervision

Job Features

Dimensions

1. Undertake teaching in accordancewith the University of Glasgow Singapore workload.
2.  Organise and mark student assessments (coursework and examinations).

3. Supervise and assess individual and team student projects.

4. In collaboration with colleagues, develop plans for SoTL and submit appropriate grant proposals.

5. Publication of papers in relevant leading international journals and presentations at conferences.
6. Administrative tasks as assigned by the UGS Director and/or UGS Computing Science Programme Director.

Planning and Organising

1.  Weekly/monthly/annually – planning and preparation of taught courses.

2. Weekly/monthly – SoTL activities of self or research staff.

3. Monthly/annually SoTL grant application writing and submission with colleagues.

4. Plan and organise administrative duties on an ongoing basis.

5. Reactive – daily queries from students/staff.

6.  Effective organisational skills to manage time and to prioritise appropriately teaching, SoTL and administrative duties.

Decision Making

1. Manage curricula, intended learning outcomes, course content and assessment methods for undergraduate courses.

2. Plan grant submissions supporting inquiry on teaching and learning, including development of collaborative activities.

3. Choice of journals, conferences and other media for dissemination of SoTL outcomes.

4. Prioritise own work.

5. External involvement including collaborations, refereeing applications and papers, journal editorships

Internal/External Relationships

Internal
1. UGS Director and/or UGS Computing Science Programme Director for exchange of information, learning and teaching strategy and research strategy.

2. Academic colleagues for information exchange to facilitate teaching and learning innovation.
3. Undergraduate students – to enhance student learning.

4. Administrative staff within both UGS and SIT for exchange of information relating to student progress and support, etc.

External
6.   Staff at SIT for information exchange to facilitate effective teaching and to support students.
7.  Academics at other universities ororganisations to develop and maintain national and international collaborations.

8. Funding bodies and industry to maximise potential for funding scholarship and teaching innovation.
8.  Scientific, educational or professional organisations to maintain external links and undertake professional activities.

Problem Solving

1. Act as a first point of contact for problems/enquiries from undergraduate on issues relating to taught courses and individual projects.

2. Academic research, experimental design and associated problem solving.

Standard Terms& Conditions

AssistantProfessor: Competitive salary will commensurate with experience and agreed on appointment.

Enquiries can be directed to the Director of University ofGlasgow (Singapore), Prof Cindy Goh (Cindy.Goh@glasgow.ac.uk) or the ProgrammeDirector of Computing Science, Associate Prof Chee Kiat Seow(cheekiat.seow@glasgow.ac.uk)

The successful candidate will be employed by UGlasgow Singapore Pte Ltd, a wholly owned subsidiary company of the University of Glasgow.

Job Description:

• Assist the dentist during treatments and procedures.
• Sterilize and prepare dental instruments and equipment.
• Take and develop X-rays (if required).
• Prepare patients and provide post-treatment care instructions.
• Manage patient appointments and maintain records.
• Ensure clinic cleanliness and stock dental supplies.
• Follow safety and infection control protocols.

Requirements:

• No prior experience is required.

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Tax Cum Account Assistant (ref: 120)

Responsibilities:

• Undertake various tax assignments of small and medium size clients
• To prepare statements of accounts from source documents, preparing and submission of tax returns and statistics forms
• To draft replies to tax queries by IRAS or clients, handling and preparing GST returns and documentation
• Act in accordance with applicable professional standards
• Prepare and review tax computation with supporting schedules in accordance with the requirements of the Income Tax Act

Requirements:

• At least Diploma/Advanced/Higher/Graduate Diploma/Bachelor Degree in Accounting/Finance or equivalent
• A team player with good interpersonal and communication skills
• Ability to execute assigned tasksi ndependently
• Proficiency in Microsoft Office
• Knowledge in Engagement is an added advantage
• Fresh graduates are welcome to apply as training will be provided
• Candidates with relevant tax or accounting experience will have an advantage
• Basic knowledge of accounting principles and Singapore tax regulations preferred

Please Indicate Job Code “120-Tax” on the email subject

We regret that only shortlisted candidates will be notified.

John Bryan (Reg No. R1106648)

IT Consultancy & Services Pte Ltd

EA No: 92C5311

Job Description:

• Work on audit and tax related assignments under the supervision of audit seniors, managers, and partners, to ensure that theseassignments are executed, documented and concluded based on the relevantprofessional standards.
• Assist in the preparation of reports and schedules thatare to be delivered to the clients and other external parties.
• Harness technology to gather and analyse data
• Work as a team member by sharing responsibilities,providing support and maintaining communication with colleagues on an effectiveand efficient basis.
• Develop and maintain professional relationships withclients.
• Act in accordance with professional standards whenproviding assurance services

Job Requirements:

• Degree in Accountancy or a professional qualification under the ACCA and SCAQ schemes
• Proactive, committed and a teamplayer
• Possess initiative and abilityto work independently
• No experience required

Job Description

• Industry/ Organization Type: Building and Construction
• Position Title: Account Assistant / Admin Assistant
• Working Location: Tuas (Transport provided at Joo Koon MRT)
• Working Hours: 5 days (9.00am – 6.00pm)
• Salary Package: Basic + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Prepare quotations, simple design ideas, and work schedules.
• Manage projects and coordinate with suppliers, subcontractors, and clients.
• Provide general office admin support and keep operations running smoothly.
• Issue invoices, record customer payments, and handle basic billing tasks.
• Check and verify staff petty cash claims.
• Perform other duties as assigned by the Head of Department.
• Other tasks as assigned by Management.

APPLY NOW!!!

• Diploma in Business Administration/Accounting, or a related field.
• 2–3 years of relevant experience.
• Proficient in MS Office (Word, Excel, PowerPoint).
• Candidates without relevant experience are welcome to apply. Training will be provided.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #79390 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Key Responsibilities

1. Bookkeeping & Accounting

• Maintain accurate and up-to-date accounting records

• Organise and maintain invoices, receipts, and supporting documents

• Use Quickbook accounting software for day-to-day bookkeeping

2. Reporting & Reconciliation

• Prepare basic monthly financial summaries (income and expenses)

• Perform bank reconciliations

• Support ad-hoc financial reports for management and programmes

________________________________________

Requirements

• Prior experience in accounting, finance, GST or bookkeeping

• Comfortable with Microsoft Excel and accounting software QuickBook

• Basic understanding of IRAS, withhold Tax compliance requirements is preferred

Key Responsibilities:
1) Maintain and update accounting records and files accurately
2) Assist with payroll processing and related documentation

Requirements:
1) Preferably with Diploma in Accounting, Finance, or related field
2) Knowledge in accounting software (e.g. QuickBooks, SAP,or similar)
3) Ability to work independently and as part of a team
4) Proficiency in MS Office applications, especially Excel
5) Ability to handle confidential information with integrity
6)Experience is not necessary

LEADING THE MARKET SINCE 1969

Founded in 1969, our company is a leading self-adhesive tape manufacturer, distributor, importer & exporter for a broad spectrum of quality self-adhesive tapes and packaging products / materials.

Our rich history and active presence in the industry has brought about high brands and product recognition by industry leaders. Our excellent track record for efficient and reliable services backed by high manufacturing standards have enabled us to be the leading choice for packaging solutions.

We are currently hiring and looking for a resourceful and highly motivated individual to join our expanding Marketing teams as:

Accounting Assistant

Job Description

• AP functions - Manage payment processing of vendor invoices and prepare payment;
• Prepare expenses and staff claims;
• AR functions - Post receipts to system, send monthly SOA to customers and follow up with outstanding payment;
• Reconciliation of overseas PO, invoice and SOA;
• Maintain up to date records and well organize documents;
• Other ad-hoc duties as assigned by supervisor.

Requirement

• O/A Levels/Diploma with basic accounting knowledge;
• Knowledge of NAVISION software will be an advantage;
• Proficient in Microsoft Word and Excel;
• Responsible, able to mutli-task and well-organize.

Key Responsibilities :
1) Maintain and update accounting records and files accurately
2) Assist with payroll processing and related documentation

Requirements :
1) Preferably with Diploma in Accounting, Finance, or related field
2) Knowledge in accounting software (e.g. QuickBooks, SAP, or similar)
3) Ability to work independently and as part of a team
4) Proficiency in MS Office applications, especially Excel
5) Ability to handle confidential information with integrity
6) Experience is not necessary

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Assistant or Research Associate to support ongoing projects in biostatistics, bioinformatics, computational biology, artificial intelligence (AI), and multi-omics data analysis.

The successful candidate will join an interdisciplinary team developing statistical, computational, and AI-driven approaches to analyse complex biomedical data. Research areas may include bulk and single-cell omics, spatial transcriptomics, proteogenomics, and integrative AI models to advance understanding of complex human diseases.

Depending on experience and training, the candidate will contribute to data analysis, model development and implementation, literature review, interpretation of results, and coordination of research activities.

Key Responsibilities:

• Assist with data cleaning, management, processing, and analysis of biomedical and omics datasets.
• Support the implementation, testing, and application of statistical, computational, or AI-based methods.
• Contribute to the development, evaluation, and interpretation of statistical or AI models under supervision.
• Conduct literature reviews and summarise key research findings.
• Prepare tables, figures, presentations, and written summaries of research results.
• Collaborate with interdisciplinary team members, including biostatisticians, clinicians, biologists, students, and research staff.
• Contribute to the preparation of manuscripts and reports, as appropriate.
• Provide support for project coordination and routine administrative tasks, including scheduling meetings, organising materials, tracking timelines, and preparing documentation for reports or submissions.
• Maintain accurate and organised research records and documentation.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s or Master’s degree in Biostatistics, Statistics, Bioinformatics, Computational Biology, Data Science, Computer Science, Artificial Intelligence, Life Sciences, or a related field.
• Strong foundation in statistical modelling, machine learning, or high-dimensional data analysis.
• Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred.
• Proficiency in R, Python, or similar programming languages.
• Ability to work both independently and collaboratively in a research environment.
• Prior exposure to genomics, transcriptomics, single-cell, imaging, or other biological datasets is advantageous but not required.

We regret that only shortlisted candidates will be notified.

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-%28Sustainable-Design%29/32638-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will contribute to the development of a focused research study that builds on prior exploratory work and advances new lines of inquiry. The role involves synthesising existing material, extending analysis through targeted investigation, and working closely with supervisors to refine frameworks, arguments, and outputs into a coherent final report.

Qualifications

•    The applicant should have a background in architecture and/or urban design/ urban planning.
•    The applicant should have completed graduate studies (i.e both Bachelors and Masters)

•    The applicant should have previous experience of 1-2 years in the field of design/ planning / research.

•    The applicant should demonstrate strong design and research capabilities, with an ability to link architectural form to broader urban, environmental, and infrastructural systems

•    The applicant  should have a working understanding of carbon in the built environment, including its estimation and representation across scales.
•    The applicant should be proficient in synthesising complex information into clear insights, with strengths in analytical thinking, writing, and visual communication.

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%2C-School-of-Computing/32570-en_GB/?st=7DA39663641A4F41E8890083630AD3594C5FF38B

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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

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

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-%28Dept-of-Physiology%29/32642-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “Novel Therapeutics for Genetic Epileptic Encephalopathies.” in the Healthy Longevity TRP, Yong Loo Lin School of Medicine. Appointments will be made on a 12 months contract basis.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator to conduct the experiments and analyze and present data.

Main duties and responsibilities

The Research Assistant (RA) will liaise with relevant hospital personnel to facilitate participant recruitment and data collection and will be accountable to the Principal Investigator (PI). The RA will be responsible for the following:

1. Overseeing the general day-to-day management of the research project.
2. Drafting and coordinating submissions to the Institutional Animal Care and Use Committee (IACUC).
3. Performing tissue culture and molecular biology experiments.
4. Conducting patch-clamp electrophysiology experiments.

Qualifications

The successful applicant should meet the following criteria:

a. Possess a bachelor’s degree with good academic standing (B.Sc. or equivalent) in life sciences or a related discipline.
b. Have hands-on experience with rodent models, cell culture, and molecular biology techniques.
c. Demonstrate the ability to work independently as well as collaboratively within a team, with strong investigative skills and attention to detail.
d. Be proficient in common computer applications, including Microsoft Office and PowerPoint.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for research assistants to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning systems, with applications to various robotic systems.

Key Responsibilities:

• Conduct research in the area of control theory and machine learning

• Conduct experiments on different robotic platforms

• International collaborations in the above areas

• Publish papers in related top journals and conferences

Job Requirements:

• Bachelor’s degree in control theory, machine learning, robotics, or related field

• Familiarity with nonlinear systems and control theory/state-of-the-art machine learning systems (diffusion, transformers, etc.)/robotics.

• Good written and oral communication skills

• Proficiency in programing (e.g., Python) and machine learning tools (e.g., PyTorch)

• Entry level candidates are welcome to apply

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

Applied Deep Learning Research Intern

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun.

NVIDIA is searching for a world-class researcher in Deep Learning to join our applied research team. If you agree with us that the most interesting thing about the Deep Learning revolution is applying it to solve real-life problems, this team will be a great fit for you. We are passionate about Deep Learning applied to computer vision, audio, text, and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing:

• Conceive Deep Learning approaches to solving particular product problems
• You'll construct and curate large problem specific datasets
• You'll design and implement machine learning techniques aimed at solving specific problems
• Collaborate with other team members, both in research and product roles
• Transfer technology to product groups

What we need to see:

• Pursuing a Master's in Electrical Engineering, Computer Science/Engineering, or related field
• Excellent knowledge of theory and practice of machine learning
• Excellent programming skills in a rapid prototyping environment such as MATLAB, Python, or C++
• Knowledge of common machine learning frameworks
• Track record of research excellence or significant product development
• Excellent communications and collaboration skills

Ways to stand out from the crowd:

• Expertise in parallel programming (e.g. CUDA)
• Knowledge of application areas, such as Computer Vision or Natural Language Processing

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

Job Description

• We are currently seeking talented individuals with:
• A PhD in many-body quantum physics or similar
• Able to do literature review and summarize the main findings from the literature
• Competence in numerical many-body quantum physics
• Competence in disseminating the outcomes of the research including in peer-reviewed academic publications of international standing
• Ability to support the research team  
• Perform other tasks as required by the Principal Investigator

Job Requirements

• To apply for this position, applicants should be:
• Proficiency or understanding many-body quantum systems out of equilibrium
• Expertise in simulating many-body quantum systems
• Proficient communication and writing skills in English
• Possess excellent problem solving abilities as well as strong attention to detail.
• Someone who can work independently while still collaborating effectively within a team environment when needed.

Job Description:

We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

Required:

• A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field. Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
• Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
• Ability to develop and modify simulation codes to model complex, multi-physics systems.
• Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
• Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

General Scope of Work:

a) Supporting the implementation process of research study on the effectiveness of the SPED Teaching and Learning Syllabuses

b) Recording, analysing and evaluating data relating to the research study and stakeholder engagement sessions

c) Providing support for syllabus implementation in SPED schools

d) Conducting literature reviews to support syllabus implementation in SPED schools

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-%28Computer-Science%29/32571-en_GB/?st=D6600C8B411B3E89EE81FF80048283A0B614DF26

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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work with the PI in AI Security.

Job Requirements

• Have a strong background in AI security.
• Have very good programming skills.
• Have a Ph.D. degree in computer science or a related area.
• Published papers on top-tier conferences as the first author.

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Prof. Wang Yibin and Dr. Xiaoyu Song are seeking a highly motivated Research Fellow to join a collaborative, interdisciplinary team focused on statistical, computational, and integrative analysis of metabolomics and other omics data, with applications in cardiovascular and metabolic diseases.

The successful candidate will contribute to interdisciplinary research at the interface of biostatistics, bioinformatics, computational biology, and metabolomics, with applications in translational cardiovascular science. Projects may include developing and applying statistical and AI methods for metabolomics and spatial multi-omics data, integrating multi-modal datasets (genomic, transcriptomic, proteomic, and clinical), and identifying molecular mechanisms, biomarkers, and risk predictors for cardiovascular and metabolic diseases.

This position offers a unique opportunity to work closely with both methodological and biomedical investigators in a highly collaborative environment, and to contribute to impactful research in human disease biology and translational medicine.

Key Responsibilities:

• Design, adapt, and apply statistical, computational, or AI-based methods for metabolomics and multi-omics data analysis.
• Analyse large-scale metabolomics, proteomics, transcriptomics, genomics, imaging, and clinical datasets; interpret results to generate biological and/or clinical insights.
• Contribute to integrative analyses to elucidate molecular mechanisms and identify biomarkers for cardiovascular and metabolic diseases.
• Work closely with biostatisticians, clinicians, biologists, and other collaborators within Duke-NUS and with external partners.
• Prepare oral presentations, written reports, and visual summaries to communicate methodologies, findings, and scientific significance.
• Contribute to and lead preparation of manuscripts for submission to statistical, computational, and biomedical journals.
• Assist in the preparation of grant applications, progress reports, and related research documentation.
• Support project coordination and maintain well-organised documentation of research activities.
• Perform any other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, Statistics, Data Science, Systems Biology, or a related quantitative field.
• Strong background in statistical modelling, machine learning, bioinformatics, or high-dimensional data analysis.
• Proficiency in programming languages such as R and/or Python.
• Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred.
• Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker discovery is desirable.
• Excellent communication, organisational, and collaborative skills.
• Ability to work both independently and as part of an interdisciplinary research team.
• A strong publication record in peer-reviewed journals is an advantage.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, is a leading school for Sustainable Built Environment. The school plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

The Research Fellow will contribute to the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform.

Key Responsibilities:

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.

• Develop and implement advanced analytics and AI/ML models to identify road safety risks and spatio-temporal patterns.

• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.

Job Requirements:

• PhD degree in transportation engineering or related field

• Expertise in data analytics and computer programming

• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research 

• Publication track record must be good

• Proficiency in English - essential for data analysis and communication with stakeholders

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

Conduct audits and testing to evaluate the effectiveness of controls.

Prepare draft audit recommendations and compile management responses and action plans.

Follow up on audit issues to ensure timely resolution.

Build and maintain productive relationships with management and, where applicable, third parties.

Perform ad-hoc duties as required by the Internal Audit function.

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Fellow with expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join an interdisciplinary team developing novel statistical methods for multi-omics data analysis. Research areas may include method development for studying the tumour microenvironment using spatial transcriptomics, integrative proteogenomics for causal inference, and AI-driven models for cell-type-aware analysis of bulk omics data.

This position offers an opportunity to work at the forefront of biostatistics and contribute to advancing the understanding of cancer and other complex diseases.

Key Responsibilities:

• Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features.
• Analyse large-scale omics datasets, interpret results, and generate biological insights.
• Work closely with national and international collaborators, including biostatisticians, clinicians, biologists, students and other research staff.
• Prepare oral presentations and written reports to evaluate data, explain analysis methods, and interpret results.
• Lead and contribute to high-impact publications in statistical and biomedical journals.
• Assist in the preparation of grant applications and reports for ongoing funded projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, or related fields.
• Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis.
• Proficiency in programming languages such as R, Python, or Julia.
• Excellent communication and collaborative skills.
• Strong publication records in peer-reviewed journals is an advantage.
• Experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.

We regret that only shortlisted candidates will be notified.