Total 402 Science / R&D / Research job vacancies

About EIPA

The EDHEC Infrastructure & Private Assets Research Institute is an applied research centre focused on improving the way private assets are measured, valued and understood by institutional investors, regulators and market participants.

Our work challenges flawed practices in private asset investing anddevelops more scientific, transparent and robust approaches to valuation, risk measurement, performance attribution and alpha measurement. Current research priorities include private asset valuation accuracy, fair value practices,private equity volatility, private debt risk, factor models for infrastructure and private equity and alpha measurement.

We are looking to recruit Senior Research Engineers to strengthen our research capacity and turn ambitious private-assets research ideas into rigorous empirical outputs,working papers, academic journal submissions and practitioner-facing publications.

The role

The Senior Research Engineer will work at the intersection of private assets, empirical finance, quantitative methods, data engineering and academic research.

The successful candidate will build and analyse data sets across private equity, infrastructure, private debt and related alternative asset classes. They will take ownership of empirical work on topics such as valuation accuracy, private asset volatility,performance attribution, factor exposures, GP behaviour, private-market alpha and risk estimation.

Key responsibilities

The Senior Research Engineer will:

• Work with EIPA researchers to design, implement and test empirical research methods in private assets.
• Build and maintain research datasets using sources such as company accounts, transaction databases, regulatory filings, fund disclosures, valuation records and commercial private-market databases.
• Lead and execute empirical analysis for working papers, policy papers, insight papers and academic journal submissions.
• Translate research questions into robust empirical designs, including regression analysis, panel data methods, difference-in-differences, factor models, event studies, network analysis and other quantitative techniques.
• Develop research on private asset valuation accuracy, fair value practices, volatility estimation, alpha measurement, private equity value creation, private debt risk and infrastructure expected returns.
• Develop reproducible research code, data pipelines and documentation that allow results to be audited, replicated and extended.
• Prepare publication-quality tables, figures, robustness checks and methodological appendices for academic papers.
• Identify data limitations, measurement problems and methodological weaknesses in existing private-market research.
• Draft sections of research papers, especially methodology, data, empirical results and robustness sections.
• Drive publication efforts in academic and practitioner outlets, including responding to referee comments and revising empirical analysis where required.
• Collaborate with internal teams and external academic or industry partners where appropriate.
• Mentor junior researchers, analysts or research assistants on coding, data quality and empirical methods.

Current research areas

The role will advance EIPA’s research pipeline across three broad areas.

Valuation and transparency

This includes work on the accuracy of private asset valuations, fair value practices, ASC 820 / IFRS 13 Level 3 disclosures, valuation policy,valuation back testing, listed private equity fund holdings, BDC mark accuracy and the incorporation of climate risks into infrastructure valuations.

Risk measurement

This includes work on private asset volatility, private debt spreads, BDC loan concentration, network analysis of private asset markets, total portfolio risk management and improved estimation of systematic risk ininfrastructure and private equity.

Alpha and performance measurement

This includes research on private-market alpha, return attribution,secondary buyouts, GP de-risking and factor timing, private equity value creation, mimicking finance for private assets and the construction of large-scale private equity datasets.

Required experience

Candidates should have:

• Strong exposure to private assets, alternative investments or institutional investment research.
• Strong ability to work with researchers and quantitative methods.
• Demonstrated experience conducting empirical research, ideally in finance, economics, accounting, investment management or a related field.
• The ability to produce research that can be submitted to academic journals, including familiarity with empirical research standards, robustness testing, literature positioning and academic writing.
• Advanced programming ability, preferably in Python and/or R.
• Strong data skills, including experience with messy, incomplete and multi-source datasets.
• Good knowledge of econometrics, statistics or quantitative finance.
• Experience with SQL or structured databases.
• Strong understanding of reproducible research practices, including version control, documentation, code review and testing.
• Ability to explain technical methods and empirical results clearly to both academic and non-technical audiences.
• Excellent written English and the ability to write directly for research papers.

Desirable experience
The following would be particularly valuable:

• Familiarity with the literature in private assets, alternative investments or institutional investment, including private equity, infrastructure, private debt, real estate, private credit, project finance, asset management, pension funds, sovereign wealth funds, investment consulting or private-market data providers.
• A PhD or research master’s degree in finance, economics, accounting, statistics, data science, engineering, mathematics or a related discipline.
• Previous publication record in academic journals, working papers, SSRN papers or high-quality applied research.
• Experience with private equity datasets such as Orbis, PitchBook, Preqin, Capital IQ, Burgiss, EDGAR filings or fund-level datasets.
• Experience with valuation research, fair value accounting, Level 3 assets, ASC 820, IFRS 13 or private-market NAV reporting.
• Experience with asset pricing, factor models, return attribution, volatility estimation or total portfolio risk models.
• Experience with panel data, causal inference, difference-in-differences, event studies, machine learning, network analysis or NLP.
• Knowledge of infrastructure finance, regulated utilities, private debt or BDCs.
• Experience collaborating with academic co-authors or responding to journal referee reports.
• Experience producing both academic papers and practitioner-facing research.

Candidate profile

We are looking for someone who is intellectually rigorous, empirically minded and comfortable working on difficult private-market problems where the data are imperfect and the methodology matters.

The ideal candidate will be able to move between code, data, financial theory and research writing. They should be comfortable asking whether a resultis economically meaningful, whether a model is correctly specified, whether a dataset is biased, and whether the evidence is strong enough for publication.

This role would suit a research engineer, empirical finance researcher,quantitative analyst, data scientist or applied economist who wants to work on high-impact private-assets research with both academic and industry relevance.

Technical skills

The ideal candidate should have strong skills in several of the following:

• Python and/or R
• SQL
• Git / GitHub
• Econometric and statistical modelling
• Panel data methods
• Data cleaning and entity resolution
• Financial statement data
• Regulatory filings and disclosure data
• Private-market transaction and fund data
• Reproducible research workflows
• Research documentation and methodological appendices

Knowledge of graph databases, network analysis, machine learning, cloud platforms or large-scale data pipelines would be helpful but is not essential.

Why join EIPA?

This is an opportunity to work on some of the most important unresolved questions in private markets: how private assets should be valued, how riskythey really are, whether managers generate genuine alpha, and how institutional investors should measure performance and allocate capital.

The role offers the chance to produce research that is academically credible, practically relevant and directly connected to major debates in private asset investing.

Application

Applicants should submit a CV and a short cover letter (pdf format) explaining:

• Their experience in private assets or alternative investments.
• Their experience with empirical research and quantitative methods.
• Their programming and data skills.
• Their publication experience or ability to write for academic journal submissions.

Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21days, please assume your application has not been successful on this occasion.

Applicants can send your resume to recruitment@edhec-dbd.com

We are seeking an outstanding and inspirational Mathematics Teacher to join our College in August 2026. The ability to teach Further Mathematics is also required.

Students come first is our guiding pillar. The right candidate will be a highly committed team player with the drive, energy and passion to help develop this forward-looking school. They will be internationally minded and excited to work with a culturally diverse range of colleagues and children. Applicants must be willing to lead by example and play a full part in the College’s pastoral care and extra-curricular programme.

Ideal candidates will have the ability to inspire students with a diverse range of talent and ability. A desire and willingness to teach through Years 7 to 13 is essential; experience of IGCSE and/or IBDP would be beneficial. Experience teaching A Level is essential.

Successful applicants will need to be aligned with the ethos and values of Dulwich College. An attractive and competitive remuneration package will be offered to the successful candidate, and details will be made available to shortlisted candidates.

Safeguarding

Our College is committed to safeguarding and promoting the welfare of children and young people in our care. We follow safe recruitment practices and appointments are subject to vetting including reference checks, social media checks, and identity and criminal record checks.

Dulwich College (Singapore)

Dulwich College (Singapore) is a globally renowned international school educating more than 2,900 students from Toddlers (age 2) to Year 13 (age 18). The College was founded in 2014 on the ethos and values of the British independent schooling system and was the seventh College to join the Dulwich family of schools. It has a global outlook and contemporary approach that mirrors Singapore’s cosmopolitan nature and reflects the diverse backgrounds of the 50 nationalities that make up its student body.

Dulwich College (Singapore) believes in nurturing global citizens and well-rounded future leaders equipped to solve the world’s challenges. Students are encouraged to Live Worldwise – to make informed choices, take inspired action, and create a positive impact on society and the planet. This global outlook is expressed in the school motto, ‘Detur Pons Mundo’, which translates to ‘Building Bridges To The World’ – a perspective that is lived out daily.

Regarded as one of the leading international schools in Singapore, the College is academically selective and provides a rigorous curriculum, complemented by a rich co-curricular programme. Offering a genuinely international education, we build upon an enhanced version of the English National Curriculum, followed by IGCSE and the IB Diploma Programm. Our facilities are outstanding, including expansive learning spaces like the state-of-the-art net-zero building, The Greenhouse, a cutting-edge Performing Arts Centre/Theatre, black box studios, playing fields, pools, and large Gymnasiums.

The Senior School

Our Senior School offers a comprehensive educational programme for 1,400 students aged 11 and 18, spanning Lower, Middle, and Upper Senior School. Our relational approach fosters a positive learning culture that permeates the entire community.

Building upon the strong foundation laid in Junior School, Years 7 and 8 (Lower Senior School) provide a dynamic environment where students explore all areas of learning, developing breadth and curiosity. In Middle Senior School (Years 9-11), students focus on IGCSE courses, acquiring the skills and approaches to learning needed for success in their final school years. Years 12 and 13 (Upper Senior School) are where students tailor their academic path to their strengths, choosing between the IB Diploma Programme, the IB Careers-related Programme, or a combination of IB courses, ensuring a personalised journey that equips them for life beyond school.

Our Vision for Teachers

Dulwich College International (DCI) is a family of leading international schools in Asia. Across our schools, we are focused on nurturing every student to have the skills and motivation to thrive in life and make a positive difference in the world – that is, to Live Worldwise. To this end, we look to recruit the very best practitioners in international education who are passionate about unlocking the potential of our students, and who will continue to grow with us as Worldwise Teachers.

Worldwise teachers:

• Put students first in all they do
• Display a positive attitude, adaptability and open-mindedness
• Show professional initiative and perseverance
• Are truly collaborative and display highly developed communication skills
• Are committed to internationalism and equity
• Are committed to sustainability and global citizenship

Worldwise teachers believe in:

• The right of every student to be safe, supported and nurtured
• Evidence-based and innovative pedagogy
• Personalised and differentiated student learning
• Setting high expectations for every student
• Empowering students to reach their own goals
• High levels of student motivation and engagement

A Worldwise teacher’s practice:

• Maximises every student’s opportunity to learn
• Promotes student agency, reflection and a love of learning
• Delivers academic rigour and holistic learning
• Reveals the complex and inter-disciplinary nature of learning content
• Creates a supportive and dynamic learning environment
• Develops students’ higher-order thinking

Equity Diversity Inclusion Statement

EiM is committed to diversity within its team, organisational practices, policies and culture. It recognises that people with different backgrounds, skills, attitudes and experiences bring fresh ideas and perceptions, and it encourages and leverages these differences to make its work more relevant and approachable. EiM will not discriminate or tolerate discriminatory behaviour on any grounds such as, but not limited to, race, gender, disability, nationality, national or ethnic origin, religion or belief, marital/partnership or family status, sexual orientation, age or socioeconomic background. EiM strives to be an inclusive workplace where everyone feels a sense of belonging, has a voice, can raise concerns, and feels comfortable and confident. It expects everyone who works with it to share this commitment and to act accordingly, as it aspires to best serve the EiM mission and its community.

Safeguarding Statement

Dulwich College (Singapore) is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices which are aligned to the recommendations of the International Task Force on Child Protection. We hold ourselves to a high standard of effective recruiting practices with specific attention to child protection. All appointments are subject to an interview, identity checks, criminal record checks, social media checks, and successful references.

PEI Registration Number: 201027137D. Period of Registration: 09 January 2024 to 08 January 2028

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in the YES Group at Nanyang Technological University, Singapore. CCEB is an interdisciplinary school under the College of Engineering and College of Science, bringing together expertise in chemistry, biotechnology, food science, and biomedical research.

The YES Group focuses on understanding how natural products, functional foods, and dietary bioactives regulate neuroendocrine, metabolic, and gut–brain axis pathways in stress-, aging-, and diet-associated disorders. The Research Fellow will play a key role in conducting interdisciplinary research using cellular, molecular, biochemical, and animal-based approaches, and will contribute to publications, grant applications, and mentoring of junior researchers.

Key Responsibilities:

• Conduct research on natural products, functional foods, metabolism, neuroendocrine regulation, neuroinflammation, and gut–brain axis biology.

• Design and perform in vitro, ex vivo, and/or in vivo experiments, including molecular, cellular, biochemical, histological, and animal studies.

• Analyse and interpret experimental data, troubleshoot protocols, and maintain accurate research records

• Assist in preparing manuscripts, grant applications, progress reports, ethics/IACUC applications, and conference abstracts.

• Mentor graduate students, undergraduate students, and junior research staff, and support laboratory safety and daily research operations.

• Present research progress in group meetings, project meetings, seminars, and conferences.

Job Requirements:

• PhD in neuroscience, physiology, biochemistry, molecular biology, food science, nutrition, pharmacology, biomedical science, or a closely related discipline.

• Strong research experience in neuroendocrinology, metabolism, gut–brain axis, neuroinflammation, natural products, functional foods, or dietary bioactives.

• Hands-on experience with techniques such as cell culture, qPCR, Western blotting, ELISA, immunostaining, microscopy, biochemical assays, and/or animal experiments.

• Experience with behavioral studies, metabolic phenotyping, tissue collection, stereotaxic surgery, transcriptomics, metabolomics, or bioinformatics would be advantageous.

• Strong analytical, organisational, communication, and scientific writing skills.

• Ability to work independently and collaboratively in a multidisciplinary research environment.

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:

• Conduct independent and collaborative research on 3D reconstruction and generation, 3D digital human modeling, and video synthesis/editing.

• Publish research outcomes in top-tier journals and conferences.

• Mentor and supervise junior researchers and interns involved in related projects.

• Collaborate with industrial and academic partners.

• Perform any other duties related to the research program.

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 relevant to 3D reconstruction, digital human modeling, and video generation.

• 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 3D reconstruction, digital human modeling, or video generation 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.

Job Responsibilities:

• Develop and sustain Dry etch processes in R&D and Small volume manufacturing environment
• Responsible for performing professional process engineering research, from the concept to the final process development for a wide variety of materials (Metals, Silicon, Dielectrics, SiC and other speciality materials)
• May conceive and plan projects involving the definition and selection of new materials, concepts and approaches in the processing or developing of new processes.
• Compiles and evaluates test data to determine appropriate limits and variables for process specifications.
• Championing engineering experiments for process characterization to drive quality and yield improvementSet up and collect the experimental data and generate reports for internal and customer distribution.
• Design and complete DOE (Design of Experiments) evaluations to characterize process window for new requirements
• Work closely with senior staff and process integrators to understand technology roadmaps, process capability requirements and business issues/ challenges.
• Act as a resource for colleagues with less experience; lead small projects with manageable risksAct as subject matter expert for both internal and external stakeholders.

Requirements:

• PhD in Materials Science, Metallurgy, Electrical, Electronics, Chemical Engineering, Chemistry or Physics; or relevant field science and engineering fields.
• PhD graduates with plasma or semiconductor process exposure are added advantages.
• Prior experience in dry etch/Wet etch processes is preferredKnowledge of plasma fundamentals is an added advantage
• Hands-on experience in designing and executing experiments (DOE), statistical and cause analysis, and problem-solving methods
• Possess good interpersonal and communication skills

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

The Sales and Marketing Manager is responsible for planning and implementing sales and marketing strategies to promote the spa’s services, attract new customers, and maintain strong relationships with existing clients. The role involves managing promotional campaigns, supporting business growth, increasing brand awareness, and ensuring excellent customer engagement.

Specific Responsibilities

1. Develop and implement sales and marketing strategies to increase spa revenue and customer base.

2. Promote spa services, wellness packages, massage therapy, and foot reflexology treatments through online and offline marketing activities.

3. Manage social media platforms, digital marketing campaigns, and promotional content to strengthen brand presence.

4. Build and maintain good relationships with customers, corporate clients, and business partners.

5. Conduct market research and monitor competitor activities to identify business opportunities and industry trends.

6. Coordinate promotional events, seasonal campaigns, and customer loyalty programs.

7. Monitor sales performance and prepare basic sales and marketing reports.

8. Collaborate with therapists and operations staff to ensure customer satisfaction and service quality.

9. Handle customer inquiries, feedback and marketing-related communications professionally.

10. Support the achievement of company sales targets and business development goals.

Technical Skills and Competencies

1. Market Research Skills

2. Communication Skills

3. Negotiation Skills

4. Leadership Skills

5. Sales Management Skills

6. Problem-Solving Skills

Duration of Traineeship/Attachment Offered - 6 months

Mature Mid Career Individuals - $3,500

This Position is open for mid career individuals (Mature, 40 years and above).

Mid Career individuals from any qualifications level can apply.

Primary Maths Teacher 

Location: Novena, Goldhill Plaza (5 min walk from Novena MRT)
Working days & Time:  

• 5 day work week (Including one weekend) 
• Rest day on Friday and Saturday
• 11am-730pm(weekday), 830am-630pm(weekend)

Salary: $3,800-$5,000

Job Description

• Execute the centre’ curriculum with fidelity (approximately 3 lessons per day, 2 hours per class, 30 minute break between each lesson).
• Record students’ quiz results and utilise our proprietary data-analytics platform to monitor and analyse class and students' learning performance.
• Provide parents with updates on performance and progress.
• Provide support and ideas towards the improvement, planning, and development of our curriculum.
• Perform necessary administrative tasks, provide coverage for peers, attend team meetings as scheduled.

Job Requirements

• Bachelor’s Degree Graduate.
• At least 2 years of teaching/tutoring experience (preferred)

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 9789 3505 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

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-%28Fluid-mechanics%29/33185-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Conduct computational fluid dynamics (CFD) simulations 
•    Conduct experiments in wind tunnels and water channels
•    Analyze experimental and simulation data and summarize key findings and observations
•    Collaborate with other team members to design experiments, develop simulation methodologies, data collection and analysis
•    Assist in the preparation of research proposals and technical reports
•    Lead and contribute to peer-reviewed publications, conference presentations, and internal research reporting
•    Maintain organised research workflows (version control, reproducible experiments, 3D model management, documentation).
•    Support broader project goals as needed (e.g., dataset curation, method benchmarking, cross-validation of simulations with actual measurements)

Job Requirements

•    PhD in Mechanical/Civil/Environmental Engineering or equivalent
•    Proficiency in computational fluid dynamics (CFD) simulations software
•    Proficiency in wind tunnel and water channel experiments
•    Strong passion in research and can conduct research independently
•    Fluent in English and able to present research to both researchers and the general public 
•    Strong publication record

Our IT team partners with the business to design innovative solutions across research, manufacturing, commercial, and animal health. You’ll help to shape company-wide products using generative AI and intelligent agents to boost productivity and drive innovation.

We are seeking one energetic, forward-thinking professional. It is a AI Research Scientist position (1-2+ years' experience) in our Technology Center in Singapore.

You will have the opportunity to work on global teams to identify and tackle the biggest opportunities and challenges at the intersection of healthcare, information and technology. We offer project-based rotations to help with your professional development, and a flat, collaborative environment.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

Primary Responsibilities

• Perform research, assessments, and technical evaluations of AI models, methods, and frameworks to solve problems or derive benefits to company AI capabilities and generative AI program

• Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery

• Participate in internal professional communities of practice and mentor colleagues to raise artificial intelligence and data science maturity within the company

• Assist in technical training to up-skill colleagues to raise the data science competency levels within the company

• Proactively scan and keep up to date with AI research

Requirements

• Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Computer Vision, Image processing is highly preferred

• We evaluate candidates on a case-by case basis but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Data Science, Analytics, Physics, and Bioinformatics

• Understanding of artificial intelligence research landscape and ability to review research publications, particularly in one of the following fields: generative AI, Machine Learning (ML), Natural Language Processing (NLP), or Computer Vision (CV)

• Hands-on code development experience and familiarity with the Python scientific computing stacks

• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity

• Proficiency in GenAI, deep learning, NLP, CV, and ML frameworks, other AI disciplines regarded useful

• Familiarity with developing and deploying within a cloud-based infrastructure and services (AWS or MS Azure environment) is plus

• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, or commercial is plus

What we offer: 

• Exciting work in a great team, global projects, international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model, flexible role pattern

• Internal reward system plus referral program

• Competitive salary, incentive pay, and many more

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS), engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection in ambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in machine learning for audio analysis. Within HEARTwise at TUMCREATE, you will lead the development of artificial intelligence algorithms for audio classification of heart and lung sounds. Through multimodal integration with data from mobility sensing and other biomarkers, you will create a reliable tool for early decompensation detection in ambulant HF patients. You will be working in a team developing a tool for audio data collection in the clinic, running a clinical study for data collection, working with clinicians to create an annotated database, and validating your classification prototype in a pilot clinical diagnostic study.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Develop prototype algorithms for audio classification of heart and lung sounds.
• Contribute to clinical data collection, database building, multimodal data analysis,clinical prototype app development.
• Verify the technology against requirements and validate in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in deep learning signal analysis,preferably with audio data.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in electrical engineering,physics, data science, computer science, or similar, and a proven track record in machine learning and (audio) signal processing. Fresh graduates and PhD candidates will also be considered.
• Proficiency in Python/Matlab and anaconda (or similar).
• Experience in C/C++ and database interfacing and in user or clinical studies is desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

Please submit the following compulsory documents to hr@tum-create.edu.sg:

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS),engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection inambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing. You will collaborate with clinicians and be responsible for audio data collection of heart and lung sounds in the clinic, for creating an annotated database, and for validating sound classification prototypes in a pilot clinical diagnostic study. You will work on prototype algorithms for classification of heart and lung sounds and develop approaches for integrating multimodal data from mobility sensing and other biomarkers to create a reliable tool for early decompensation detection in ambulant HF patients.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Work on classification algorithms of heart and lung sounds, on multimodal data analysis and fusion, and on verifying the technology against requirements.
• Work with clinicians on data collection from heart failure patients and build a database under consideration of data protection and ethical requirements
• Develop a tool for audio data collection in the clinic, advance it into a clinical audio classification prototype and validate it in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in signal processing, user or patient studies, and in creating software for participant testing.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in hearing research, electrical engineering, biomedical engineering, human factors engineering, (medical) physics, computer science or similar and a proven track record in (audio) signal processing and in developing and conducting research studies with users or patients. Fresh graduates, PhD candidates and Engineers in similar fields will also be considered.
• Proficiency in C/C++,Matlab/Python and anaconda (or similar).
• Experience in machine learning and database interfacing is highly desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

Please submit the following compulsory documents to hr@tum-create.edu.sg:

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Computer-Science%29/33203-en_GB/?st=148CE054359BE2C7B80B2B9D9F4D62543197147D

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 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 be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to conduct research in areas of efficient AI, multimodal understanding, vision and robotics.

Only shortlisted applicants will be notified.

Job Requirements

• Ph.D. in Computer Science or a closely related field
• Excellent research skills, including data analysis, interpretation, and scientific writing
• Good publication record
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively

Responsibilities

·               Adhere to WSH regulations andstandards in Singapore.

·               Coordinate with site teams and contractors to ensure compliance with safety requirements where necessary.

·               Vetthrough all permit-to-work submissions to ensure accuracy of information,completeness of documentation and compliance to the WSH Act, subsidiarylegislation and codes of practice. Verify that contractor risk assessmentscomply with the Code of Practice on WSH Risk Management and capture the actualactivities to be performed on site. 

·               Performdaily inspections of work areas to spot safety non-conformities and unsafeconditions/practices, document them and direct them to the relevantperson-in-charge for closure. To follow up on the status of each finding toensure timely and effective closure.

·               Conductspot checks on contractor work areas to ensure they possess valid permits towork (including work at height and hot work permits) and ensure no incompatibleworks are carried out in those work areas.

·               Conduct toolbox meetings and safety briefings when required, to reinforce safe work practices among employees and contractors.

·               Ensurerelevant documentation and records are properly maintained.

·               Duringmoving/relocation and lifting operations, ensure that move paths and work areasare clear of obstructions and other traffic. Ensure no incompatible works arecarried out by any party in the vicinity of the moving/relocation/liftingworks.

·               Bereadily on-site during hazardous work activities such as lifting operations /confined space entry / etc, to monitor and provide supervision if necessary.

·               Attendto safety incidents and accidents, provide assistance to any injured personnel,conduct preliminary incident investigation and escalate incidents accordingly.

·               Assistin the evacuation of building personnel during emergencies and drills; andprovide on-site emergency response coordination if required.

·               Provideregular updates to site Safety Officers and communicate with site SafetyOfficers to gain alignment on decisions made where necessary.

Requirements

·               Safetycoordinator: WSQ Advanced Certificate in Workplace Safety and Health (Level B)

·               Safetyofficer: Valid WSHO licence

·               Possess2-3 years’ experience in fulfilling the duties in the job description

·               Ableto work on shifts (not exceeding midnight) if needed

To findout more about this opportunity, please contact Lionel Liew at lionel.liew@gmprecruit.com.

We regret that only shortlisted candidates willbe notified.

GMP Technologies (S) Pte Ltd  |   EA Licence: 11C3793|   EA Personnel: Lionel Liew   |   RegistrationNo: R1330693

Store Keeper Job Description

We are looking for an organized, experienced store keeper to be responsible for all stock, staff management, and planning promotional campaigns for the store. Storekeeper is a person who is responsible for goods in a store. Storekeeper is very important person for the store. He is the in charge of store department and also responsible for store control.

Storekeeper Duties & Responsibilities:

• Receive and forward all types of goods and deliveries in and out of the hotel to the correct point of storage area.

• Follow all standards for issuing and receiving stock within the store's area of operation.

• Monitor and take inventory on regular basis to compile orders based on par levels or needs.

• Maintain clear and organized records to ensure all reports and invoices are filed and stored properly.

• Monitor Periodic Automatic Replacement levels for all food items to ensure proper levels.

• Responsible to verify all goods arrived as per the agreed purchase, delivery note and agreed quantity has been received.

• Responsible for storage of both food & beverage and operational stock.

• Responsible for the day-to-day check on the storage facilities of upkeep and hygiene.

• Refuse acceptance of damaged, unacceptable, or incorrect items.

• Ensure cleanliness of all areas, keeping storage areas clean & tidy and in strict compliance with hygiene regulations.

• Ensure all store requisitions are signed by concerned Department Heads (HOD’s).

• Ensure the quantity requested and the quantity issued always matches.

• Ensure store requisition form is signed by the person collecting the goods and enter into the Inventory/Materials Management System.

• Post all invoices using the MMS - Material Management System.

• Speak with others using clear and professional language.

• Follow up on documentation of after-hours issues ensuring it is in accordance with established internal controls and procedures.

• Adhere to all Health and Safety procedures particularly relating to food and beverage items.

• Conduct inventory audits to determine inventory levels and needs.

• Assist the Accounts Payable Clerk / payable assistant in finding out any cost discrepancies.

• Complete requisition forms for inventory and supplies.

• Extend all requisitions on a daily basis and update the inventory management software/system.

• Work closely with Purchasing to order and receive items and equipment.

• Troubleshoot any vendor delivery issues and oversee/follow up on the return process.

• Verify and track received inventory and complete inventory reports and logs.

• Perform any other duties as assigned by the management or supervisors.

Storekeeper Requirements and Skills:

• Bachelor’s degree in retail management, marketing, or related fields

• Well experience in retail management or sales

• Knowledge of retail operations, merchandising, and budgeting processes

• Proven ability to develop and implement retail promotion strategies

• Positive, friendly, and organized

• Excellent verbal and written communication skills.

• Proficient in Microsoft Office.

• The ability to work under pressure.

• Availability to work within opening hours (e.g. evenings, holidays, weekends).

Nurse | Clinical Research Unit

• Office Location: Buona Vista, Singapore
• Working Hours: Flexible
• Monthly Salary: Hourly Rate
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Clinical Care Excellence – Deliver professional and high‑quality care in the management of clinical trial subjects/volunteers within the Clinical Research Unit (CRU).

• Confidentiality & Privacy – Safeguard subject/volunteer privacy and maintain strict confidentiality of all privileged information.

• Data Management – Collect, verify, and ensure proper storage of trial data in compliance with protocols.

• Biomedical Equipment Operation – Operate biomedical equipment proficiently to support clinical trial activities.

• Safety Compliance – Apply standard safety measures to protect self and others from biohazard materials, including blood‑borne pathogens.

• Trial Execution Support – Follow instructions from the Study Nurse‑in‑Charge to ensure smooth execution of clinical trial activities.

Requirement

• Registered with Singapore Nursing Board.
• Minimum 2 years of nursing experience in direct inpatient nursing.
• Candidate who can start immediately or within short notice will be preferred

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

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678