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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Carry out geochemical surveys
• Conduct field and lab work to measure carbon flux
• Assist in administrative work to support the project
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Job Requirements

Bachelor’s and/or Masters degree in Earth Sciences, Geochemistry Marine Biology, Ecology, Geography, Environmental Studies, or other similar discipline. The candidates should have a strong passion for marine environment-related research. Research skills include geochemical survey techniques and analysis, sampling designs and lab protocols to measure carbon flux, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Skills:

• Geochemical survey techniques and analysis
• Sampling designs and lab protocols to measure carbon flux
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience:

• Ability to conduct survey and analytical work in field and lab
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The 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 projects.

Description

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

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the NUS Career Portal.

Qualifications

• A PhD in statistics or a related field is required.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer. The successful candidate will work on experiments and numerical modelling of 3D breaking waves and wave-current interaction. The candidate should have strong knowledge background in terms of waves, currents, turbulence, etc. Experience with experiments and CFD model will be advantageous. Only shortlisted applicants will be notified.

Job Requirements

• Possess at least a Masters degree in Civil Engineering with related research experience.
• Candidates with background in fluid mechanics, coastal and ocean engineering, experimental methods are encouraged to apply.
• Strong written and spoken communications.
• Good in quantitative analysis.
• Strong written and spoken communications.
• Good knowledge of CFD analysis and programming skill is an advantage.
• Open to fixed-term contract.

Please apply here: https://talent.sage.hr/jobs/9ace774d-e61b-4f47-836f-9fe098d9a2b1

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Cybersecurity Research Fellows with the following backgrounds:

- Cybersecurity Research & Engineering

- Cybersecurity threat modelling

- Network Intrusion Detection

- Cryptography

- Anomaly Detection

- AI Security

As Cybersecurity Research Fellow, the successful candidate will contribute to the programme by conducting fundamental research aligned with the programme and translating research outputs to achieve impact within the Singapore healthcare environment.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for. Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, and biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for an assistant research officer to join Wilmar’s corporate lab (WIL@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres to predict quality parameters related to the product.

Main responsibilities of the incumbent (not limited to):

• Manage and pre-process data
• Ability to code and script based on specified tasks
• Statistical analysis and machine learning experience in the following area
• Forecasting using time series data
• Neural networks, in particular recurrent and long short term memory networks
• Versatile in applying computational techniques to solve open problems
• Participate in seminars and research-in-progress meetings within the team and collaborators

Job requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Machine learning and statistical background
• Positive learning attitude towards new ideas

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “Investigating the cognitive functions of neuronal cilia in dorsomedial striatum- mediated goal-directed learning”.

The main responsibilities of the position include:

• Conducting mouse behavior experiments
• Conducting mouse brain stereotaxic surgeries
• Managing mouse breeding colonies
• Performing molecular biology experiments e.g. virus vector production

Qualifications

The candidate should hold a Bachelor’s Degree in Biological Science, Biomedical Science, Biotechnology or Veterinary Technology. Polytechnic diploma holders with relevant skills and experience are also encouraged to apply.

Skills:

• Strong interest in neuroscience research
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Experience in small animal care, surgery and husbandry
• Understands small rodent behavior
• Good knowledge of molecular biology e.g. genotyping, molecular cloning, virus vector production, mammalian cell culture

Please apply here: https://talent.sage.hr/jobs/55729b46-20ca-4792-9df2-360f30fbb5e3

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Research Software Engineers with the following backgrounds and experience:

- Full-stack Software Development

- Distributed Systems

- Hospital Information Systems and Healthcare Applications

- Cybersecurity and Software Security

- High-performance Computing

- Network/System Administration

As a Research Software Engineer, the successful candidate will contribute to these developments by producing software tools, platforms and libraries as vehicles to carry out impactful research, develop engaging and interactive demonstrators and translate early-stage research prototypes into robust and usable applications.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Life Sciences Institute is a research centre dedicated to the understanding of fundamental biological pathways in human health and disease, environmental science and industrial processes.

We promote scientific discovery through creative and multidisciplinary approaches in an environment that is highly collaborative. We also seek to integrate our pioneering basic research with the application and exploitation of new research discoveries. LSI brings together scientists and clinicians from five NUS faculties and supports advanced core facilities and cutting-edge research infrastructure.

We are looking for an individual trained in cell culture, transfection and standard molecular biology assays such as confocal microscopy, flow cytometry, western blot, immunohistochemistry.

The job would include performing:

1. In vitro experiments with cell culture
2. Standard molecular biology assays such as immunostaining, convocation microscopy, flow cytometry, cryosectioning
3. Performing in-vivo experiments with rodents - involves rodent anaesthesia, perfusion, dissection
4. Helping out with purchasing items and laboratory housekeeping

Qualifications

Applicant should:

• Successfully completed Bachelor's Degree in Life Sciences
• Preferably have prior knowledge in tissue cryo-sectioning, preparation of paraffin-embedded tissues and familiar with immunofluorescence staining of animal tissues.
• Be comfortable with animal handling. Prior experience is preferred but not required
• Preferably have prior experience in basic laboratory techniques such as cell culture, histology, and confocal microscopy is advantageous.
• Proficient in English.
• Preferably be proficient in lists of software eg. ImageJ, GraphPad Prism and BioRender.
• Be highly motivated, independent, detail-oriented

Please include your cover letter, CV and names of 3 references (name, institution, email) upon application. Shortlisted candidates will be contacted.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for a Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for optimizing enzyme production.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statistical analysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently hiring for a position of Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for food product development.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statisticalanalysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Please apply here: https://talent.sage.hr/jobs/b0aa80ab-6951-4717-b49e-37ac3c199206

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Machine Learning Research Engineers with the following backgrounds:

- Generative Modelling (particularly LLMs and multi-Agent systems)

- Data science

- High-performance Computing

- Data-driven personalised healthcare

- Model-based personalised healthcare (e.g. pharmokinetic modelling)

- Translational and regulatory expertise in medical devices

As a Machine Learning Research Engineer, the successful candidate will contribute to the programme by developing and implementing novel machine learning algorithms with focus on security and data privacy, as well as translating recent AI advancements to the healthcare setting.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Duke-NUS Medical School (Duke-NUS) was established through a landmark collaboration between two world-class institutions; Duke University and National University of Singapore, with the objective of providing innovative education and impactful research that enhance the practice of medicine in Singapore and beyond.

The Centre of Regulatory Excellence (CoRE) was established at Duke-NUS in 2014 with the mission of forming regional platforms and networks to grow competencies, build capacity and promote thought leadership in regulatory science and health policy in the Asia Pacific, with a focus on South-East Asia.

CoRE has established a strong and highly regarded education portfolio for industry professionals and regulators. The Centre also enables thought leadership and policy innovation in areas of health products regulation, and its expanded scope now includes issues related to global health, health policies and health system strengthening. Its key focus areas are digital health, vaccines & pandemic preparedness, advanced and innovative therapeutics, innovative clinical trials, and medical devices.

The roles and responsibilities of the successful candidate would include: -

• Contribute to the development and maintenance of training components including online courses, in collaboration with external technical experts.
• Engage network of experts locally and regionally, to ensure the accuracy and practical relevance of training courses.
• Ensure close alignment and consistency of training in support of the University’s pedagogy and maximising the learner’s engagement.

Qualifications

• Degree in Biomedical, Life Sciences or equivalent with minimum 2 years of knowledge, skills and expertise in the relevant field.
• Competent and experienced in developing and constructing training materials for tertiary education.
• Prior experience in regulatory affairs and knowledge of healthcare settings of the ASEAN region will be advantageous.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore is seeking a Research Associate/Research Fellow (Research Manager) in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension .

Purpose of the post

The successful hire is expected to lead and coordinate BISI's research initiatives. You will play a crucial role in shaping and executing our strategic research agenda, ensuring timely delivery of projects, and maintaining strong relationships with key stakeholders.

Main Duties and Responsibilities

• Contribute to the ongoing development and organise BISI’s research programme to support its strategic direction and mission.
• Lead the tracking, timely reporting and development of research budgets and individual projects, including existing grants and future funding bids, such that the research and project work can be delivered efficiently.
• Monitor research progress, and identify and implement project management interventions to keep research activities on track.
• Plan and monitor research design, data collection, data storage, documentation and reporting in line with the highest ethical standards and Institutional Review Board (IRB) requirements.
• Oversee project teams, staff allocation, budgeting and procurement processes to support programme productivity and continuity.
• Prepare and coordinate reports on programme progress for a variety of audiences.
• Regularly communicate with BISI management team and stakeholders, internal and external (e.g., relevant government ministries).

Qualifications

The candidate should possess:

• A Master’s or PhD in Psychology/Behavioural Science/Public Health or any discipline related to health or biomedical sciences.
• Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders within an academic or healthcare setting.
• Working knowledge in research ethics and HBRA is advantageous.
• Experience supporting the full cycle of Institutional Review Board activities, from application, management, documentation and reporting for studies involving human participants.
• Ability to write, edit, and produce reports and other formal documents of communication.
• Ability to produce, manage and understand financial documents, particularly in the context of research grants.

Qualifications

• Successful management and coordination of research staff, including research assistants, students and interns.
• Excellent organisation and problem-solving skills.
• Proficient in Microsoft Office programs (Word, Excel, PowerPoint and Outlook) and project management tools.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented.
• Keen interest in the area of behavioural and implementation sciences for research translation and communication will be advantageous.

Application

What Being Successful in the Role Looks Like

The successful hire works closely, collaboratively and competently as part of an interdisciplinary team within BISI. He or she is excellent in writing and presentation and has exceptional grantsmanship and project management skills. He or she can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up BISI’s open and positive work culture.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Shao Chuen, at [email protected].

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 this job portal.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

National University of Singapore

Yong Loo Lin School of Medicine

Alice Lee Centre for Nursing Studies (ALCNS)

Research Assistant

Appointment period: 1 year in the first instance, with a possibility of extension up to 1 year.

Expected commencement of work: ASAP

Duties and Responsibilities

The appointee will assist the project leader with the following:

1. oversee the general management and assist in the administrative and secretarial support to project (e.g. organizing regular research meetings, meeting minutes recording);
2. assist in literature review and manuscript preparation;
3. conduct literature searches, using SPSS to enter data, analyze data and maintain trial databases, as well as assist in preparing both progress and final reports of the projects;
4. undertake the day to day running of the project at the study site (such as assist in ethical application and amendment, recruitment, provision of intervention, and data collection in study sites);
5. maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. work on other tasks as assigned.

Qualifications

The applicant should:

1. have a degree in nursing/psychology/public health or related disciplines;
2. experience working with research project management or having a honors degree will be preferred;
3. experience in conducting interventional research;
4. be able to work independently and with a team, have an investigative nature and attention to detail;
5. have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and
6. have good communication skills with patients and colleagues, and fluency in English.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and interventional research.

Formal application:

Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for a Research Associate in the NUS Centre for International Law (CIL). This is a one-year contractual position offered in connection to CIL's expansion of its programme on international economic law and policy. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international economic law and policy.

The duties of the incumbent will involve:

• Assisting the Head of the International Economic Law and Policy programme in research in connection with the programme’s ongoing projects in international economic law, including CIL’s position as an official observer in UNCITRAL Working Group III, CIL’s ongoing work on international economic law and climate change, and its work on the evolution of the international architecture for economic regulation.
• Assisting with the development and organization of seminars and workshops organized by CIL, including the Singapore International Arbitration Academy.
• Conducting research and completing at least one publication for possible publication in a recognized journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in international economic law, e.g., trade, investment and other areas of international economic law broadly understood;
• Excellent analytical, research and writing skills;
• A high degree of self-motivation and strong organisational and computer skills.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents :

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests
• A detailed curriculum vitae (no more than three pages) setting out educational and work history
• University transcripts
• One sample of written work
• The names and details of two referees

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at [email protected]

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focuses on developing the technology and demonstrating Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

1. Job Summary:

We are looking for a dynamic and innovative assistant R&D Chef to assist & lead recipe development, ensure quality control, and oversee product approval processes. Reporting to the Production Manager, the assistant R&D Chef will collaborate closely with production, sales, and cross-functional teams to create high-quality, market-ready products. The ideal candidate will take full accountability for QA/QC compliance, product sign-off, and customer satisfaction.

2. Key Responsibilities:

a. Recipe Development and Product Innovation:

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

b. Quality Assurance and Control (QA/QC):

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

c. Product Approval and Accountability:

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

d. Collaboration with the Sales Team:

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

e. Production Alignment and Management:

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

f. Market and Trend Analysis:

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

g. Documentation and Reporting:

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

3. Qualifications:

• Minimum of 2 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

4. Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

5. Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

6. Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work environment.

7. Work Schedule:

• 5-day work week on an alternative-day schedule.

• 10-hour shifts, including a 1-hour break.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Principal Investigator: Associate Professor Catherine ONG, Department of Medicine

The Infectious Diseases Research Laboratory at the Department of Medicine, Yong Loo Lin School of Medicine is looking for highly motivated and well-qualified candidates for the post of Research Fellow to work on Murine models of Tuberculosis. The lab works on translational research i.e. spanning cellular, murine and human TB research. This position provides an excellent opportunity for persons looking to further experience in translational research including robust interactions with clinicians.

https://medicine.nus.edu.sg/medi/catonglab/index.html

https://discovery.nus.edu.sg/5460-catherine-w-m-ong

Main Duties and Responsibilities

The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts including flow cytometry, immunohistochemistry, molecular biology including immunofluorescence. State-of-the art techniques include spatial transcriptomics and bioinformatics can be learnt and applied. Spatial transcriptomic work is also expected from human tissues. The person will lead in the day-to day running of experiments in the Biosafety Level 2 (BSL2) and BSL3 setting, and is expected to work independently, in coordination with other junior and senior team members in the laboratory and clinicians. Supervision of junior lab members such as undergraduates and postgraduate PhD students is expected. Work with live M. tuberculosis is expected in a BSL3 setting. BSL3 experience would be advantageous but not a requirement.

Qualifications

Applicants should have:

• A PhD degree in life science and skilled in handling murine models
• A minimum of 2 years of BSL2 experience with skills in molecular biology and immunohistochemistry/immunofluorescence
• Ability to help mentor and train junior staff members and students
• A proven track record of outstanding written, oral presentation and communication skills
• Excellent skills in project management
• Ability to work on grant proposals including writing, meeting with collaborators, and reviewing proposal opportunities

All interested applicants should send their job application interest, full CV with the cover letter and the reference letters of three referees with the referees’ contact details to the NUS Career Portal.

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

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

We regret that only shortlisted candidates will be notified.

About AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at the National University of Singapore (NUS), jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.