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 Research Associate will oversee the planning, implementation, and tracking of multiple research projects within the Centre for Innovation and Precision Eye Health. This role requires a strong understanding of research methodologies, exceptional organizational skills, and the ability to manage multiple stakeholders. The candidate will be responsible for ensuring that research projects are completed on time, within scope, and in line with the association’s strategic goals.

Main duties and responsibilities

• Planning & Coordination:

Coordinate and manage the day-to-day operations of research projects and the centre, ensuring adherence to protocols and deadlines.

Collaborate with internal and external stakeholders, including researchers, academic institutions, funding bodies, and partners.

Develop detailed project plans, including timelines, resource allocation, milestones, and deliverables.

Plan and coordinate academic meetings and events

• Project Execution & Management:

Oversee the execution of multiple concurrent research projects, ensuring that objectives are met within budget.

Monitor project progress and address potential risks or bottlenecks proactively.

Ensure proper documentation of all project activities, results, and changes to project scope

Assist Centre’s Director in scheduling meetings and grant management

Main duties and responsbilities

• Team Leadership & Communication:

Lead cross-functional project teams and provide clear direction on project goals and responsibilities.

Foster collaboration and communication between researchers, data analysts, and support staff.

Prepare and present regular progress reports, updates, and findings to senior management and stakeholders.

• Budgeting & Financial Management:

Manage project budgets, ensuring efficient use of resources and adherence to financial protocols.

Monitor project expenditures, approve invoices, and ensure timely financial reporting.

• Grant Writing & Reporting:

Assist with the preparation and submission of grant applications and proposals.

Track and report on grant deliverables and outcomes as required by funders and sponsors.

Qualifications

• Master’s or PhD degree in a relevant field (e.g., Public Health, Data Science, or related disciplines).
• Minimum of 3-5 years of project management experience in a research or academic setting.
• Demonstrated experience in managing complex, multi-disciplinary research projects.
• Experience with grant writing and managing grant-funded projects is highly desirable.
• Proficiency in research methodologies, data management, and statistical analysis.
• Budget management experience and financial acumen.
• Ability to work independently, as well as part of a team, and manage multiple stakeholders.
• Familiarity with research ethics, compliance standards, and IRB processes.
• Experience in ophthalmology, data science or AI research, etc.
• Experience with data management software and platforms (e.g., REDCap, SPSS, R).

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Research on tackling the research problems of SAR image recognition and object detection (semantic segmentation included).
• Develop the state-of-the-art algorithms of SAR image recognition models and publish papers.
• Implement the systematical toolbox using the trained SAR models.
• Demonstrate and visualize the research results in regular meetings with DSO Lab.

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 3 years of relevant research experience in computer vision and deep learning.
• Proficiency in programming languages such as c++ and python is required.
• Demonstrated experience and know-how on pytorch and tensorflow.
• Excellent working knowledge of SAR image processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in incremental learning, few-shot learning, and long-tailed image recognition topics will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

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.

ASIA RESEARCH INSTITUTE

The Asia Research Institute (ARI), National University of Singapore (NUS), invites applications for one full-time Research Fellow to work on a major research project funded by the Social Sciences Research Council (SSRC) Singapore, under its Thematic Grant programme, entitled Climate Governance of Nature-based Carbon Sinks in Southeast Asia. The position is available on a full-time basis for two years.

RESEARCH PROJECT (CLIMATE GOVERNANCE)

This project places social sciences scholarship at the core of climate governance strategies involving Nature-based Carbon Sinks (NCS), defined as ecosystems that absorb and store more carbon than they release. The geographical focus of the project is on Southeast Asia, a region rich in carbon sequestration potential where the socio-spatial relations, economic realities and land use regimes that underpin the medium to long-term effectiveness of NCS in mitigating climate change remain critically understudied. The project aims to strengthen linkages between the natural and social sciences by assessing the optimal arrangements for governing NCS at and across a range of spatial and administrative scales. With its focus on the governance of different types of NCS found in terrestrial and mangrove forests, peatlands and agricultural soils, the project will locate technologies of NCS governance within the socio-spatial contexts, power asymmetries and institutional cultures that shape their success or failure. In these ways, this policy relevant research will contribute to ongoing efforts by Singapore and other ASEAN countries to adapt and build resilience to climate change challenges by developing low-carbon initiatives with social, economic and environmental co-benefits.

The successful candidate recruited as a Research fellow will join a large interdisciplinary research team that includes a Senior Research Fellow, two other Research Fellows, a Research Associate and three PhD students funded through the same project. In addition to activities associated with ARI, the successful applicant may wish to participate in research group meetings and departmental seminars in the Department of Geography and the Centre for Nature-Based Climate Solutions (CNCS) at NUS.

ROLES AND RESPONSIBILITIES

The focus of this Research Fellowship is on the climate governance of:

(1) peatlands;

(2) areas of adjacency between peatlands and mangrove forests; and

(3) non-peat (mineral) urban soils.

The research component on low-carbon governance in peatlands connects to Singapore’s national interest of promoting sustainable peatland development in neighbouring countries to limit biomass burning that contributes substantially to transboundary haze pollution and GHG emissions. The component on peatland-mangrove connectivity engages with holistic approaches to wetland governance in Southeast Asia that could help to safeguard their sink functions, among other vital ecosystem services. The non-peat, urban soil component involves citizen Science with a Singaporean non-for-profit organisation invested in urban composting and food security.

JOB REQUIREMENTS

The appointed RF will hold a PhD (or be waiting conferment) in a relevant area of the social or natural sciences. The successful RF will undertake research on governing carbon stocks in wetlands and/ or agricultural soils, and will ideally have relevant experience of research in this field. The RF will preferably have experience of carrying out research in Asia, although this is not essential. In addition, s/he will have a record of publication in widely-regarded outlets and be expected to publish project-focused articles in international journals with high impact. The successful applicant will write one agenda-setting paper on integrated wetlands/landscapes, lead individual and collaborative research, organise one themed conference panel, and present research findings at international conferences. S/he will provide mentorship and contribute to the development of PhD students funded through the project.

TERMS AND CONDITIONS

1. Two-year contract commencing immediately for suitable applicant.
2. A competitive salary and excellent working environment.
3. All salary and benefits-in-kind are subject to taxation in accordance with Singaporean tax laws.
4. Other benefits that NUS provides and information about living and working in Singapore are available at Potential Hires

*Terms and conditions, according to university guidelines, are subject to change without prior notice.

APPLICATION PROCEDURE

To apply for this position, please combine the following documents in 1 PDF :

• Letter of application
• Full Curriculum vitae, including the names of three referees who would be prepared to provide confidential references, one of whom should ideally be the PhD main or co-advisor.
• Academic certificates and transcripts.
• A write-up, of no more than 800 words, explaining the candidate’s past research experience and aptitude in relation to the research project.

For further enquiries about the position, please contact Dr. Michelle Miller: [email protected]

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 Centre for International Law (CIL) at the National University of Singapore invites applications for a Research Fellow in International Trade Law. This is a one-year (renewable) contractual position offered in connection with CIL's expansion of its programme on International Economic Law and Policy.

The duties of the incumbent will involve:

1. Develop research across areas of international trade law. An emphasis on areas of evolving development, including e.g. climate change, global economic/ trade architecture, and digital trade, is preferred;
2. Publish in journals of the highest calibre with an emphasis on academically rigorous research with practical policy implications;
3. Conceptualise and lead conferences, seminars, workshops, and trainings in international economic law, and take a key role in CIL's annual International Law Year in Review Conference.

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

1. A PhD in relevant area of international law or equivalent experience;
2. A proven track record of publications at the highest level;
3. A proven track record of research development and self-motivation;
4. Strong leadership, organisational and communications skills;
5. Candidates from the region and /or with knowledget of regional languages(s) will have an advantage.

Application Procedures

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

1. A covering letter indicating experience, motivation for applying to work at CIL, and research interests;
2. A detailed curriculum vitae setting out educational and work history together with publications and any teaching or capacity-building experience;
3. University transcripts;
4. One sample of written work;
5. Names and contact details of two academic referees.

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

We are seeking one highly motivated Research Assistant to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).

The selected Research Assistant will work collaboratively with the Principal Investigator (PI) and our research team on projects aimed at advancing sustainable bioproduction. Appointments will be initially made on a 1-year contract, with the possibility of extension.

Ideal candidates will possess experience in microbial engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in metabolic engineering, genome editing and bioprocess development for biochemical production. The successful candidate will assume a pivotal role in advancing the frontier of synthetic biology to address real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Duties and Responsibilities

The Research Assistant is expected to:

1. Develop biological parts and genetic tools for engineering of microbial chassis such as non-conventional microbes;
2. Engineer microbes for industrial applications in production of industrial-relevant biochemicals;
3. Provide technical support to research fellows, and graduate students working in the group;
4. Assist in any other duties that are delegated by the Principal Investigator and group leaders.

Qualifications

The applicant should:

1. Hold a Bachelor’s degree in Biotechnology, Biological Sciences, Chemistry, Biochemistry or related disciplines;
2. Have basic knowledge and hands-on experience on biotechnology, biochemistry or metabolic engineering of microbes for the production of value-added biochemicals;
3. Be able to work independently and in a team and have an investigative nature and is attentive to details.

Remuneration will be commensurate to the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Sulaiman, at [email protected].

Formal application: Please submit your application, indicating job reference number and 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 3 referees). 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 invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will design data security plans in the settings of training a deep learning model, protecting users’ privacy.

Only shortlisted applicants will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Has strong publication in computer science, such as ASPLOS, ICSE, FSE, ICML, etc.
• Strong programming 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 successful candidate will work in the area of artificial intelligence (AI) for science, with focus on materials science. Of particular interest would be the problem of inverse design of material given desired properties, particularly with the use of diffusion model.

Qualifications

• PhD in a field related to AI for science
• Good understanding of both AI and physics
• Good publication record
• Good communication skills and willingness to work across discipline
• Have at least two years of working experience in related areas

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

The Research Associate will provide support to the project, e.g. data cleaning and diarisation, for sociometric profiling modeling.

Key Responsibilities:

• To provide support to the project, e.g. data cleaning and diarisation, for sociometric profiling modeling.
• To assist in development of computational models and sourcing/annotating video data.
• To participate in sourcing for relevant datasets, data collection and experiments to evaluate and benchmark the models under development.
• To assist in writing project reports.

​

Job Requirements:

• Master’s Degree in computer science/engineering or related fields.
• Experience in data collection, and familiarity with human datasets (brain, video, behavioral etc. is a plus.
• Experience in the following programming languages and frameworks: Python, Pytorch, Keras, is a plus.
• Good communication and writing skills
• Excellent teamwork and experience working with research team and/or students.

​

We regret that only shortlisted candidates will be notified.

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are seeking a highly motivated Research Assistant to join the laboratory of Professor Yonggui Gao. Supported by a Tier 1 grant, this position focuses on protein translation and regulation involving the ribosome, as well as protein preparation and characterization. Applicants with experience in molecular cloning, protein expression, and purification are preferred, but all motivated candidates with a passion for research are encouraged to apply.

Key Responsibilities:

• Protein expression and preparation for protein and complex studies
• Biochemical and biophysical characterization
• Microbiological assays
• Other duties as assigned

Job Requirements:

• BSc in Biological Sciences or related field
• Strong motivation and passion for research
• Experience in molecular cloning, protein expression/purification (preferred but not required)
• Excellent written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Ability to work collaboratively within a team

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

SCIENTIFIC MANAGER – Research & Development / Drug Discovery - Oncology

The opportunity:

As a Scientific Manager you will lead and coordinate research and development projects in the life sciences sector and contributing to the research and development of latest drugs in oncology.

You will have the opportunity to manage a team of scientists, setting research priorities, ensuring project timelines and objectives are met and meeting high standards of quality and regulatory compliance.

What we look for:

• PhD or Master’s in Life Sciences, Biotech, Medicine, Pharmacology, or related field.
• 5-9 years of experience as a scientist in research and development
• Experience in drug development R&D work in Oncology
• Strong data analytical skills and providing solutions to resolve complex issues
• Strong interest in Drug discovery and preclinical work
• Ability to oversee experimental design, data analysis and make data driven decisions
• Proven experience in in vitro/in vivo and animal work/models
• Track record in managing scientist team and department, support strategic planning, and demonstrate leadership, project management and scientific expertise
• Track record of scientific publications, writings and contribution to the scientific community
• Experience in research management and cross-functional teams.
• Excellent communication and organizational skills.

What we offer:

• Exciting drug discovery projects
• Access to the global community of scientist
• Innovative environment
• Career development

What’s next?

We are now welcoming applications of experienced scientist with a passion for discovery.

If you are passionate towards the discovery of therapies in the treatment of cancer, then we would like to hear from you.

Please reply to this posting with your most updated CV, current and expected salary details.

We apologise that due to the high volume of applicants we may be unable to respond to everyone. Should you not hear from us, please assume your application was unsuccessful for this time and we welcome your application again the next.

We look forward to considering your application.

Engage Life Science – Singapore & SEA
[email protected]

Engage Group Pte.Ltd is a licensed business under the Ministry of Manpower: (EA: 18C9316)

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 selected Research Fellow is required to:

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Possess a PhD degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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 Asian Institute of Digital Finance

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

We invite applications for the position of Research Assistant who will be housed in the Department of Computer Science, School of Computing (SoC) under Principal Investigator, Professor Liang Zhenkai for research grant ref: NRF/UP#1, titled: “Security and identity management of digital infrastructure for FinTech services.”

We are strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the wellbeing 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.

Qualifications

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects under the NRF grant. He/she should possess experience or interest in at least one of the following research areas:

• Security
• Systems and Networking

Job requirements:

• Bachelor’s degree with at least 2 years’ relevant work experience;
• Programming skills in C/C++.
• Experience in research.
• Experiences with the following areas will be preferredProgram analysis
  System/OS kernel development
  Audit log analysis
  Trusted hardware programming
  

More Information

Location: Kent Ridge Campus

Organization: Asian Institute of Digital Finance

Department : FinTech Research

Employee Referral Eligible: No

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 Assistant at the Centre for Sleep & Cognition, Yong Loo Lin School of Medicine. The research will involve the development and application of machine learning algorithms to brain MRI data.

Purpose of the post

We seek an enthusiastic and self-motivated research assistant to join our team.

Main duties and responsibilities

The research assistant will be expected to develop and apply machine learning algorithms to brain MRI and other health data. The candidate will also provide support to other projects in the centre.

Qualifications

The applicant should:

1. Have an honors (first class or high distinction or equivalent) in the Bachelor of Engineering, Computer Science, Math or related STEM discipline.
2. Be able to work independently and in a team, have an investigative nature, attention to detail;
3. At least 3 years of research experience in python and deep learning of brain MRI data

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Yeo Boon Thye Thomas 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.

A postdoctoral research fellow position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• A recent PhD degree in communications and networking, computer sciences, operations research, or applied mathematics
• Strong publication record in top-tier IEEE / ACM / OR / Math conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

The NSoE Phase II IoT Sector is looking to hire Research Fellows. Each Research Fellow will contribute in at least one of the following:

1. Research on automated vulnerability discovery (e.g., via Fuzzing) in IoT (Wireless) networked systems;
2. Research on IoT honeypot and threat intelligence.

Qualification & Experience:

• PhD degree in Computer Science, Computer Engineering, or related field.
• Demonstrated expertise in computer networks and/or software testing and/or software security and/or applied machine learning.
• Track record of strong R&D capability, with publications at leading cybersecurity conferences and/or journals.
• Working knowledge of the C/C++ or Python programming language.
• Working knowledge in binary analysis and code reverse engineering is advantageous.
• Familiarity with 5G and Wireless Networking is advantageous.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

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 staff would lead at least one project under supervision of the Principle Investigator (PI) and the scope of the project is on biomass valorization. The responsibilities will be as follow:

• To develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• To execute the plan experimentally and interpret the data critically.
• To report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• To draft manuscripts and attend conferences to publicize the project findings.
• To support other team members and train junior colleagues. The staff will need to draft research proposal together with the PI.

Job Requirements

A well-qualified candidate should:

(1) be passionate about research;
(2) have a Phd degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
(3) be an expert of chemical conversion of natural and synthetic polymers;
(4) command both spoken and written English at professional level;
(5) be a good team player;
(6) excellent publication record in related areas.

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 Medicine at the National University of Singapore (NUS) is seeking candidates to apply for the role of Senior Research Fellow within its Cardiovascular-Metabolic Translational Research Programme.

The selected candidate will be offered a contract position for a duration of one to two years, with an opportunity for renewal based on performance and funding availability.

Purpose of the post

The Senior Research Fellow (SRF) will work closely with the Principal Investigator (Professor Shu Ye) to engage in research into molecular mechanisms of cardiovascular diseases, prepare impactful papers for publication in top-tier scientific journals; and obtain competitive funding for the research programme.

Main duties and responsibilities

The Senior Research Fellow will be able to:

1. conduct research in Cardiovascular-Metabolic Translational Research Programme (CVMD) under the supervision the Principal Investigator Professor Shu Ye to investigate the influences of genetic variants on cardiovascular diseases and the underlying mechanisms, using a variety of molecular biology, cell biology, and histological techniques and animal models;
2. develop and implement research projects, including study design, data collection, analysis, and interpretation;
3. publish research findings in high impact peer-reviewed journals and present at academic conferences and seminars;
4. contribute to the development of grant proposals to secure funding for research projects;
5. assist in the supervision and mentorship of honor and graduate students involved in research activities;
6. contribute to the dissemination of research findings to the broader community through outreach activities, including public lectures or community engagement initiatives;
7. participate in departmental meetings, research seminars, and other academic activities to contribute to the scholarly environment of CVMD.
8. To participate in general laboratory activities related to the research and carry out allocated duties for the laboratory.

Qualifications

The applicant should have:

1. a doctoral degree (Ph.D. or equivalent) in Biomedical Research or a related field from an accredited institution;
2. a strong background and expertise in/or biomedical health-related research, preferably in cardiovascular research;
3. a track record of scholarly productivity, including publications in reputable peer-reviewed journals;
4. experience in quantitative and qualitative research methodologies;
5. ability to work independently as well as collaboratively within a multidisciplinary team environment;
6. excellent written and verbal communication skills;
7. prior experience in grant writing (securing external funding is an advantage);
8. Experience in leading a research team of research students and research assistants.

More Information

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.

At Willet Partners, we redefine the standard in executive search, professional recruitment and talent advisory, offering a warm yet professional touch to both organisations and job-seekers. Employing a key account management model, our dedicated account managers – who are also industry specialists – are well-equipped to dive into the intricacies of your business.

Connecting Talents, Creating Futures

What you will be doing?

• You will be connecting with talents to present career opportunities that could be transformative and life changing. Helping them to land a role that could potentially be once in a lifetime.
• You will be responsible for data mining of talents profiles from tools such as LinkedIn

Attributes

• Resiliency – As it involves regular deadlines, you will need to handle a healthy level of stress and demonstrate resilience in meeting timelines.
• Curiosity – You should have a genuine interest in the industry and in understanding what people do for a living. Even better if you have a passion for gaining knowledge.
• Process oriented – You should values organisation and consistency, ensuring that tasks are completed in a structured, repeatable, and often optimized manner.
• Details oriented – You will need to exercise thoroughness, careful review and analysis of work to avoid mistakes and to ensure completeness and consistency.

About your reporting manager

• You will be reporting to a manager with strong logical thinking who values mentoring and providing constructive feedback. Her communication style is straightforward and direct.
• She has been working and recruiting for technology related business for quite some time.

Background

• At least a Diploma. Fresh graduates are welcome.
• Engineering or product talents who does not want to stay in software engineering or product development are welcome to apply. We welcome anyone who wants to have a career change, do note that you will need to start from scratch and be willing to learn.

Only shortlisted candidates will be notify. We regret to inform that we are able to sponsor any work visa at this moment.

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 Associate Professor Wang Xuesen & Professor Wee Thye Shen, Andrew on experimental studies of epitaxial moiré superstructures under a project on the Investigation of Practical Epitaxial Moiré Superstructures with Novel Electronic Properties.

The main responsibilities of the position include:

• To identify several overlayer-substrate material combinations suitable for epitaxial moiré superlattices
• To carry out epitaxial growth of the overlayer that forms a moiré superlattice on a substrate in ultrahigh vacuum (UHV) chamber
• To analyze the atomic and electronic structures of epitaxial moiré superlattices using scanning tunneling microscopy and spectroscopy (STM/STS)
• To analyze experimental data, comparing with computational results and draft manuscripts for publication
• To provide guidance and assistance to the PhD and Master students doing similar experimental studies in this project.

Qualifications

• Qualifications / Discipline: PhD degree in Physics, Chemistry or Materials Science.

• Skills: Have a comprehensive understanding of the novel physical properties of material structures based on various 2D materials; Capable of using UHV sample preparation and film growth facilities to fabricate the epitaxial moiré superstructures, especially those made of Group-V (Sb, Bi, P) and Group IV-VI compounds (e.g., GeS, GeSe, SnS, and SnSe); Capable of in situ STM/STS analysis of the atomic and electronic structures of epitaxial moiré superstructures; Skills of performing LEED, XPS and ARPES analysis are also desirable; Strong skill of writing and oral communication in English.

• Experience: Has at least 4 years of: 1) Using Omicron UHV LT-STM systems for surface, nanostructures and thin film investigations; 2) surface cleaning, atomic layer and film deposition, especially involving materials of Group-V (Sb, Bi, P) and Group IV-VI compounds (e.g., GeS, GeSe, SnS, and SnSe); 3) UHV and low-temperature STM/STS analysis of the atomic and electronic structures of surfaces, thin films and nanostructures. Experience of LEED, XPS and ARPES analysis is also desirable.

The MVAIT lab at Nanyang Technological University conducts high quality research on AI for medicine. These projects include the development of AI and software tools for the analysis of different types of medical data, such as omics, cell and medical imaging data. The objective is to enhance clinical efficiency and introduce affordable and effective biomedical technology to the society.

The role of the Research Associate includes conducting research on medical imaging data processing, 3D reconstruction, and AI algorithms with surgical robotics. The RA will not only design and implement state-of-the-art algorithms but will also be actively involved in the development and refinement of AI tools tailored for diverse medical domains. These endeavors aim to bridge the gap between advanced computational solutions and practical medical applications. The tools and solutions developed by the RA will be meticulously adapted to help the clinicians, radiologists, and biologists, facilitating them in their daily tasks and pioneering research. The RA will be involved in projects which aims to harness technology for the enhancement of patient outcomes and clinical efficiency.

Key Responsibilities:

• Design and implement AI algorithms to analyze medical datasets, including MR, CT, X-ray and microscopy data.
• Conduct research on high-precision medical analysis and data interpretation.
• Develop, test, and refine AI tools for different medical domains, ensuring the efficiency of the tools in real-world medical settings.
• Design dashboards or visualization tools to incorporate the implemented AI algorithms, and utilize VR/AR equipment and 3D visualization to enhance the understanding for clinicians, as well as facilitate in the training of students.
• Collaborate with external researchers and interdisciplinary teams, including radiologists, surgeons, and roboticists, to ensure the project practicality and clinical relevance.
• Assist in developing AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
• Analyze and interpret the data outcomes from the AI models and the medical procedures to provide critical insights and suggestion for improvements.
• Be aligned and updated with the latest advancements in medical imaging, image processing, and robotics to ensure that the research conducted is at the forefront of the field.
• Collaborate with external researchers to conduct research on AI and ML on medical datasets.
• Publish articles in high quality journals, ensuring that the research are recognized and accessible to the broader scientific community.
• Participate in the drafting of research projects to secure projects and contribute to the strategic research direction of the lab.
• Ensure that research activities adhere to ethical guidelines and patient data privacy regulations.

Requirements:

• Trained (Masters for Research Associate) in Computer Science, Computer Engineering, Electrical Engineering, Artificial intelligence, or associated programs.

• Strong experience in deep learning, AI, computer vision, machine learning, medical image analysis, healthcare.

• Expert knowledge of Python, C++, Pytorch, Tensorflow, etc.

• Experience in the analysis of medical imaging dataset.

• Experience in medical software implementation is a plus.

• Good ability in communicating data science models to non-data science audience using simple language.

• Existing Publications in top-tier AI or computer vision journals/conferences, such as TMI, MIA, MICCAI, NeuIPS, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI, etc, are preferred.

• Strong motivation in state-of-the-art research and publication.

Physicists have been at the forefront of some of the most important inventions of all time. These inventions have formed the basis of transition toward an improvement in quality of life. Atomionics is at that juncture and ready to revolutionize the domains of resource exploration and navigation. Our quantum sensors are based on cold atom interferometry and can measure gravity, acceleration, and rotation with high accuracy, precision, and sensitivity. The challenge? Making it work in a dynamic environment to enable real world applications that would extend the benefits of the energy industry to the next billion people.

We are looking for a cold atom physicist who:

1. Wants to be involved in research while gracefully maneuvering through the technical constraints of field deployment
2. Is excited by the prospect of working within an interdisciplinary team comprised of electronics engineers, mechanical engineers, and software engineers
3. Would like to own their work via compelling equity offerings

We are a focused group in a high-energy environment. Our team consists of people at the top of their domains with a diverse set of experience, such as in advanced rocket engines, the first digital cameras, and high resolution microscopes, apart from cold atom physics. In addition, we are backed by some fantastic investors from the private and public sectors, such as Wavemaker, SGInnovate, Cap Vista, 500 Startups, and other prominent angels.

Responsibilities

• Design and development of atom interferometry based sensors
• Work in collaboration with electronics engineers and mechanical engineers to develop the system
• Research on the improvement and miniaturization of atom interferometry based sensors
• Write patents

Must have skills

• PhD in Physics, with research experience in cold atom physics
• Proficient in experimental work
• Ability to work independently and in a team
• Fluency in spoken and written English

Nice to have skills

• Prior experience in atom interferometry
• Built atom interferometry based gravimeter, accelerometer, or gyroscope
• Built near-IR lasers, laser locking system, and RF electronics
• Experience in theoretical simulation of atomic systems
• Developed control systems using FPGA

• MNC Company
• Basic $2500 - $3500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Jurong East
• Working days: Monday to Friday
• Working hours: 8.30am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• To research and develop new products and services
• Researching about competitor’s products and evaluation of detailed function of their products
• Conduct Market Research on products of Security System in ASEAN region
• Design and develop test plans for security alarm systems, CCTV systems, and access control systems, adhering to industry standards and company protocols
• Conduct rigorous testing of all system components, including control panels, sensors, cameras, access readers, and communication devices
• Simulate real-world security scenarios to identify and address potential vulnerabilities
• Conduct in-depth research on emerging security technologies and their potential application
• Conduct research about standards like SS558, EN, IEC for ASEAN countries
• Any others ad hoc duties as assigned

Job Requirements:

• Possess minimum Diploma in Electronics and/or Electrical Engineering or relevant field
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of

more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing

solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research

Engineer to implement highly available and scalable microservices-based applications and platforms for

autonomous manufacturing applications. He/she is expected to be independent and initiative-driven,

demonstrating the capacity to discover innovative solutions to challenges.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise planning system and applications.

-Analyze complex problems related to resource planning and scheduling, identify potential solutions,

and implement the most effective one.

-Collaborate with other developers and stakeholders to deliver high-quality software products.

-Deploy software to production environments and provide ongoing maintenance and support to

customers.

-Be responsible for documenting of code with technical specifications, user manuals, and other

documentations to facilitate understanding and maintenance by other team members.

-Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance

of software system

Job Requirements

• Bachelor or Master degree in computer science/engineering or relevant Disciplines
• Must have a minimum of 2 years' experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices and software systems using C# .NET and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills

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