Total 315 Junior Executive level Science / R&D / Research job vacancies

The Lee Kong Chian School of Medicine (LKCMedicine), a partnership between Nanyang Technological University, Singapore (NTU Singapore) and Imperial College London, is committed to training doctors who place patients at the centre of exemplary care. Guided by its vision to redefine medicine and transform healthcare, LKCMedicine advances research through impactful discoveries with national and global relevance. The School’s research focuses on five key areas: Neuroscience and Mental Health, Population and Global Health, Respiratory and Infectious Diseases, Nutrition, Metabolism and Health, and Skin Diseases and Wound Repair. These programmes address Singapore’s evolving healthcare needs, including those of a rapidly ageing population, and are supported by cross cutting strengths in Data Science, Developmental Biology and Regenerative Medicine, and Microbiome Medicine.

The JChen Lab, led by Dr. Weiqiang (Javier) Chen, Assistant Professor of Viral Immunopathogenesis, is part of the Respiratory and Infectious Diseases programme and is building a dynamic and interdisciplinary research environment to uncover how viral infections drive inflammation, neurological injury, and musculoskeletal disease. The lab integrates molecular virology, immunology, and advanced disease models to investigate how emerging viral infections reprogram host immune responses and disrupt tissue homeostasis across organ systems, with a central focus on viral immunopathogenesis and host responses.

We are seeking a motivated Research Assistant to support research projects in the JChen Lab focused on viral immunopathogenesis, including mechanisms of neuroinflammation and musculoskeletal disease.

Key Responsibilities:

• Perform laboratory experiments using molecular, cellular, and virology-based techniques under appropriate biosafety conditions

• Assist in the execution of research projects, including experimental setup, data collection, and documentation

• Prepare reagents, maintain cell cultures, and operate laboratory equipment and instrumentation

• Assist with data analysis and organization, including preparation of figures and summaries for reports and presentations

• Support the development and optimization of experimental protocols as directed

• Assist with ordering, inventory management, and procurement of laboratory supplies and reagents

• Support compliance with institutional and regulatory requirements, including biosafety (IBC), animal ethics (IACUC), and human research (IRB) protocols where applicable

• Contribute to general laboratory operations, including maintenance of shared resources and coordination of workflows

• Participate in lab meetings and support coordination of collaborative research activities

Key Competencies and Requirements:

• Bachelor’s degree in Biological Sciences, Biomedical Sciences, Microbiology, Immunology, Molecular Biology, or a related field 

• 0–3 years of relevant laboratory experience

• Experience with molecular or cellular biology techniques (e.g. cell culture, qPCR, Western blot, or related assays)

• Ability to perform experiments, collect and analyze data, and maintain accurate laboratory records

• Strong attention to detail and good organizational skills

• Ability to work independently as well as collaboratively in a team environment

• Good problem solving and critical thinking skills

• Effective written and verbal communication skills

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The responsibilities of the position include:

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

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

Qualifications

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

Skills:

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

Experience:

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

Job Summary

You will support the management and preparation of resources in the Primary School Science Lab, assist teachers in facilitating student discussions, and perform related administrative duties to ensure smooth lab operations.

Responsibilities

• Conduct regular inventory stock-takes in Science Labs to maintain accurate records and replenish supplies promptly
• Coordinate repairs and replacements of lab equipment to ensure functional resources
• Collaborate with the Head of Department (Science) and vendors to procure lab inventory efficiently
• Organize Science Lab resources with clear name labels for easy identification and accessibility
• Assist teachers in facilitating student discussions to enhance learning activities
• Manage loan requests of lab resources from teachers to ensure timely availability
• Prepare and set up lab resources according to teachers’ schemes of work and specifications
• Perform printing and photocopying tasks in the Printing Room to support lab activities
• Prepare teaching aids, including cutting and lamination, to improve instructional materials
• Carry out ad-hoc administrative duties and resource preparation as required by the school or department

Preferred competencies and qualifications

• GCE 'N'/'O' Level Certificate
• Minimum 1 year of working experience in a Primary School Science Lab environment

Other Information

Working Hours

• Mondays to Thursdays: 7:30am to 4:30pm, inclusive of 30-minute lunch break
• Fridays: 7:30am to 4:00pm, inclusive of 30-minute lunch break
• Service not required on Saturdays, Sundays, and gazetted public holidays

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 a Research Assistant to work on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in machine learning, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Self-Motivated and takes initiative

We regret to inform you 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-%28Diagnostic-Radiology%29/32548-en_GB/?st=188CD011B6DD33446DD894ED5225F5F61C096B93

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. The Department of Diagnostic Radiology is committed to advancing imaging sciences for precision medicine, with strengths in medical image analysis, neuroimaging, and AI-driven healthcare. Our faculty collaborates widely with engineering and computational sciences, and we host specialized research facilities including PET/CT imaging development and advanced image computing platforms. More information on the department is available at https://medicine.nus.edu.sg/meddnr/about-us-staff.html.

Appointments will be made on a one-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will support projects in medical image analysis and AI-driven healthcare research, working closely with the Principal Investigator and research team. The RA’s role will include assisting with data processing, algorithm development, and research support for ongoing imaging projects. Specifically, the RA will:

1. Support research activities in medical imaging and AI, including data curation, preprocessing, and analysis.
2. Assist in the development, testing, and validation of computational models for imaging applications.
3. Conduct literature reviews and contribute to the preparation of manuscripts, reports, and presentations.

Qualifications

The applicant should:

(a) Hold at least a Bachelor’s degree in a relevant discipline (e.g., computer science, biomedical engineering, electrical engineering, or related fields).

(b) Have research interest or prior experience in areas such as medical imaging, computer vision, artificial intelligence, or machine learning.

(c) Be proficient in programming and data analysis, and familiar with common tools for image processing.

(e) Possess good written and verbal communication skills.

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

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-in-Institute-of-South-Asian-Studies-%28South-Asia%29/32536-en_GB/

We regret that only shortlisted candidates will be notified.

Research Assistants (South Asia)

Established in 2004, the Institute of South Asian Studies (ISAS) is an autonomous research institute at the National University of Singapore. It is dedicated to research on contemporary South Asia. The Institute seeks to promote understanding of this vital region of the world, and to communicate knowledge and insights about it to policy makers, the business community, academia and civil society, in Singapore and beyond.

The Institute of South Asian Studies (ISAS) at the National University of Singapore is seeking to appoint two Research Assistants to its research team.

Focus Areas

Candidates should have research interests in one or more of the following areas relating to South Asia:

• International Relations, Multipolarity and Multilateralism
• Politics, Society and Governance
• Trade and Economics
• Strategic Technologies
• Sustainability and the Environment

Requirements

• A Bachelor’s or Master’s degree in International Relations, South Asian Studies or a related discipline
• Strong theoretical and empirical grounding in South Asian politics, society, economics, development and/or international relations
• Demonstrated research and writing abilities, preferably with a focus on South Asia

Application

Interested candidates are invited to submit their cover letter, detailed curriculum vitae and a writing sample (an authored article related to South Asia) in PDF attachment to the NUS Career Portal.

Remuneration will commensurate with qualifications and experience.

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-2%2C-Dept-of-Finance/32528-en_GB/?st=9A6A65AE8A28B5EE49D54E569CB30C23403DC96A

We regret that only shortlisted candidates will be notified.

Job Description

I am looking for up to two highly skilled and motivated individuals to work with me as full-time research professionals. 

You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s research agenda on macro-financial linkages and historical macroeconomic statistics. This work uses macro and micro data and cutting-edge statistical methods to understand when credit booms endanger financial stability, what the sources of long-run growth are, and how boom-bust cycles can shape the economy of a country for decades. Among other things, you will help to (a) construct novel data sources to measure credit market conditions and historical macroeconomic outcomes, (b) analyse data to understand the role of financial frictions on firm outcomes, and (c) help estimate measures of economic activity ranging back centuries for many countries. 
 
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. You will have access to resources, including part-time research assistants, and collaborate closely with other members of Professor Müller’s lab. The most important requirement for this position is that you are highly ambitious and eager to learn, and you should ideally bring a proven an interest in economic research. 

The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.

Qualifications
Ideal candidates will:
(i)    have a strong background in economics, finance, or data science; 
(ii)    have a proven interest in economic questions, and an interest potentially pursuing an academic path;
(iii)    be able to work independently to solve problems; and
(iv)    be highly organized and pay attention to details.

A background in economics or finance is a plus but not necessary. I have often worked with computer science or data science students as well. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed. 

Candidates should submit the following documents:
•    Cover letter and resume
•    Transcripts from previous academic programs, where relevant
•    If available: A research paper (undergrad thesis, term paper, etc.)

Applications will be reviewed on a rolling basis.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table

Department / School
NUS Business School

Pay
Competitive with other world-leading research universities

Special Requirements 
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

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-AssistantAssociate-%28Human-Potential-TRP%29/32544-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant/ Research Associate in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine.  The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on two-year contract, with the possibility of further extension.

Purpose of the post

We are looking for a highly motivated individual to coordinate data collection and support research operations under the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study.  The Research Assistant/Associate will be responsible to, and work closely with, the Principal Investigators and study team members to ensure the successful completion of GUSTO projects on time. The RA’s principal role will be to work in general practices such as data collection, data entry and analysis and drafting of publications and reports.

Main duties and responsibilities

The Research Assistant/Associate will liaise with the relevant personnel to smooth the process of recruitment and data collection and will be accountable to the Principal Investigator(s).

The Research Assistant/Associate will be expected to:

1. Conduct surveys and interviews with children, adolescents, and parents at KK Children’s and Women’s Hospital. 
2. Manage the participant reimbursement schedule.
3. Maintain data security and confidentiality according to PDPA. 
4. Draft ethics approval forms in accordance with IRBs. 
5. Conduct extensive work with data, including organization, cleaning, coding, and analysis. 
6. Train and supervise undergraduate research assistants. 
7. Provide timely updates of the study to PI/Project Manager. 
8. Work flexibly with participants across a range of settings (e.g. hospital, university research lab), and hours (e.g., some weekends and evenings). 
9. Additional research and administrative duties (e.g. preparation of manuscripts for publication, conference presentations, purchases, grant reports).
10. Perform literature review, data analysis and drafting of reports and publications.

Qualifications

• Bachelor’s or Master’s degree in Psychology, Social Sciences, or related disciplines 

• Strong background in developmental research and experimental design 

• Good statistical background (e.g. Microsoft Office, SPSS, R) 

• Experiences working with parents and children preferred  

• Excellent written and oral communication skills 

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

Only shortlisted candidates will be notified. Please submit your application online.

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-%28Synthetic-Biology-TRP%29/32540-en_GB/?st=18ABF0E49D06D254A4A78105FFD16B13FD4B62B3

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for one Research Assistant position in the Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Fresh graduates are encouraged to apply.

Job Description

The Research Assistant/Associate (RA) will be responsible to Dr Shi Jiahai and work with a team of researchers. The research project revolves around applied synthetic biology and focuses on red blood cell biology.

The Research Assistant is expected to:

1. Take part in one or more research projects involving extracellular vesicle isolation, purification, characterization, and engineering, including the optimization of workflows for EV preparation from cell culture or biological samples.
2. Perform experiments related to molecular biology, cell biology, and vesicle research, including sample preparation, nucleic acid/protein analysis, and functional evaluation of EVs.
3. Assist in the development and optimization of EV purification methods, such as differential centrifugation, ultracentrifugation, size-exclusion chromatography, filtration, precipitation-based methods, or affinity-based approaches.
4. Support EV characterization using appropriate analytical methods, which may include particle sizing, concentration measurement, protein and RNA analysis, imaging, and biomarker-based assays.

Qualifications

The applicant should:

1. Hold a Bachelor’s or Master’s degree in mathematics or biotechnology;
2. Have knowledge and hands-on experience in molecular biology, biotechnology, or biological science;
3. Be able to work independently and in a team, have an investigative nature, and be attentive to details;
4. Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Binte Sulaiman, at suhana_s@nus.edu.sg

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

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-%28Metabolic-Phenotyping-Core-%28MetCPU%29/32546-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Metabolic Phenotyping Core (MetCPU) at the Department of Medicine, Yong Loo Lin School of Medicine. MetCPU provides human metabolic phenotyping services for subjects in clinical studies, who are typically recruited by the researchers themselves. These services include oral and intravenous glucose tolerance tests, the mixed-meal tolerance test, glucagon stimulation tests, euglycemic and hyperglycemic clamp studies, and indirect calorimetry. The Core also collaborates and provides research support service to other researchers in NUS and NUH.

Appointments will be made on a 12-month contract basis, with the possibility of extension which is subject to funding availability and performance.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator, team members and collaborators to ensure the successful completion of research projects and smooth operation of MetCPU. The RA’s principal role is to provide integrated research, clinical, coordination, and administrative support, including serving as study coordinator and liaison with other study teams and collaborators.

Main Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in university, hospital, and collaborating laboratories to streamline recruitment, biospecimen collection, biospecimen flow and processing, data collection, data management and will be accountable to the Principal Investigator (PI). The RA will be able to:

• Oversee the general management and day-to-day coordination of the multiple projects across study sites;
• Provide administrative and secretarial support to the projects, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
• Undertake the day to day running of the project at the study site, e.g. Collaborate and coordinate with team members at the study sites, recruitment, data collection at hospitals/university/participants’ homes;
• Maintain study database and tracking logs, as well as assist in preparing both progress and final reports of the project;
• Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
• Assist with ethics and grant applications, renewals, safety documents, and ongoing regulatory and grant administration.
• Assist with any other duties of a similar nature that are delegated by the PI or team manager. 

Core operations and administration

• Assist with general upkeep of operation needs such as purchasing of items, tracking of inventory/consumables, maintain equipment, maintaining databases, protocols and documentation.
• Assist with any other duties of a similar nature that are delegated by the PI or team manager.

Qualifications

...

Duties and Responsibilities

·      Manage daily library operations, including resources, systems, and circulation services

·      Support library programmes, user services, and literacy initiatives

·      Supervise students and maintain a safe, conducive learning environment

·      Administer and monitor Late-Coming (LC) records and student data

·      Coordinate and supervise detention, suspension, and student management processes

·      Maintain accurate documentation, reporting, and follow-up actions

·      Provide administrative support, including budgeting, resource coordination, and compliance with school policies

·      Other duty as assigned under Student Affairs& Services Department

Job Requirements

·      Nitec or its equivalent from the Library Association of Singapore

·      Working experience in a similar capacity, preferably in a secondary school environment

·      Experience in using the Spydus system will be an added advantage

·      Ability to supervise students firmly and professionally

·      Proficiency in spreadsheets and administrative tools

·      Working Hours: 9 am - 6.30 pm (Mon to Thu) and 9 am - 6 pm (Fri)

Interested parties, please email your updated resume to hrd@sst.edu.sg

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-1%2C-Dept-of-Finance/32527-en_GB/?st=0B473217FD15668574730FF421287EC36ECD5BB3

We regret that only shortlisted candidates will be notified.

Job Description

I am looking for up to two highly skilled and motivated individuals to work with me as full-time research professionals. 

You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s research agenda on macro-financial linkages and historical macroeconomic statistics. This work uses macro and micro data and cutting-edge statistical methods to understand when credit booms endanger financial stability, what the sources of long-run growth are, and how boom-bust cycles can shape the economy of a country for decades. Among other things, you will help to (a) construct novel data sources to measure credit market conditions and historical macroeconomic outcomes, (b) analyse data to understand the role of financial frictions on firm outcomes, and (c) help estimate measures of economic activity ranging back centuries for many countries. 
 
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. You will have access to resources, including part-time research assistants, and collaborate closely with other members of Professor Müller’s lab. The most important requirement for this position is that you are highly ambitious and eager to learn, and you should ideally bring a proven an interest in economic research. 

The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.

Qualifications
Ideal candidates will:
(i)    have a strong background in economics, finance, or data science; 
(ii)    have a proven interest in economic questions, and an interest potentially pursuing an academic path;
(iii)    be able to work independently to solve problems; and
(iv)    be highly organized and pay attention to details.

A background in economics or finance is a plus but not necessary. I have often worked with computer science or data science students as well. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed. 

Candidates should submit the following documents:
•    Cover letter and resume
•    Transcripts from previous academic programs, where relevant
•    If available: A research paper (undergrad thesis, term paper, etc.)

Applications will be reviewed on a rolling basis.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table

Department / School
NUS Business School

Pay
Competitive with other world-leading research universities

Special Requirements 
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

Key Responsibilities:

• Develop and conduct high quality research independently, as a candidate is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).

• Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office, academic and administrative tasks

• Mentor and collaborate with group members and other research teams

• Demonstrate him/herself exceptionally self-motivated, a team player

• Any other responsibilities as advised by the PI based on the evolving needs in the lab

Key Competencies and Educational Requirements:

• Hold a Diploma or Bachelor degree in Biology or relevant disciplines

• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience

• Be proficient in relevant techniques described above

• Be highly motivated and conscientious

• Demonstrate her/his competencies and qualifications satisfactorily

• Work independently, and also have the ability to work effectively in a team

• Have good organisational, verbal and interpersonal skills

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

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

The Research Assistant will lead a project on Waste-to-Resource technologies, with primary responsibility for the design, construction, and commissioning of a pilot-scale thermal waste treatment facility. This role contributes directly to the University’s mission of advancing impactful, applied research by developing and demonstrating sustainable waste management solutions that support resource recovery, environmental stewardship, and the transition to a circular economy.

Key Responsibilities:

• Lead technology screening and evaluation to identify suitable thermal treatment processes (e.g. gasification, pyrolysis, combustion) for diverse solid waste streams, including municipal solid waste.

• Contribute to the end-to-end planning, detailed design, installation, commissioning, and operation of a pilot-scale thermochemical waste treatment facility, including hands-on engineering and troubleshooting.

• Work closely with the Principal Investigator (PI) and Co-PIs to develop and implement risk assessments, standard operating procedures (SOPs), and safety protocols, ensuring compliance with applicable regulations for construction and operation of the pilot facility.

• Investigate and evaluate options for energy recovery and electricity generation from the thermal waste treatment process (e.g. syngas utilization, heat recovery systems, gas engine applications).

• Support the identification, characterization, and evaluation of value-added applications for solid residues generated from thermal treatment processes (e.g. biochar, pyrolysis char, ashes), including potential reuse pathways and performance assessment.

Job Requirements:

• Bachelor's in Chemical Engineering, Environmental Engineering or closely related field

• Relevant hands-on experience (academic, pilot-scale, or industrial) in thermal waste treatment, process engineering, or related fields is an advantage

• Familiarity with best practices in waste management and state-of-the art technologies for solid waste treatment

• Strong foundation in thermodynamics, including mass and energy balance calculations and process performance analysis

• Experience or demonstrated ability in designing, building, commissioning, and testing pilot or demonstration-scale systems

• Competence in data and information visualization, including process flow diagrams, technical presentations, and performance reporting

• Ability to work independently and develop practical engineering solutions under tight timelines

• Strong written and oral communication skills, with the ability to convey complex technical concepts clearly

• Ability to collaborate effectively within an international, multidisciplinary team and across different time zones

• Proven ability to build rapport, influence technical and non-technical stakeholders, and work effectively in a fast-paced environment

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

Job Description

• Industry/ Organization Type: Food Manufacturing
• Position Title: R&D Assistant (Food Industry)
• Working Location: Woodlands (Nearest MRT: Admiralty)
• Working Hours: 5 days (Monday - Friday: 8.30 AM – 5.30 PM)
• Salary Package: Basic Salary + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Support the R&D team with seasoning mixing, new product development, and how products are used.
• Support monthly work on new seasonings or new application methods and help prepare promotional items and presentations.
• Request new raw materials or flavours through the Purchasing team, and manage their registration, documentation, and evaluation.
• Perform QC checks (sensory and visual) on finished products from the seasoning line and on incoming or new raw materials.
• Review and compare current and alternative food ingredients.
• Maintain the R&D lab and keep it clean.
• Carry out plant hygiene checks.
• Support HACCP and Halal systems, including upkeep and documentation.
• Do other tasks assigned by the Company when needed.

APPLY NOW!!!

• Minimum Diploma in Food Science or equivalent.
• Preferably at least 1 year of relevant work experience.
• 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 #81651 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.

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