The Trustworthy LLM/AI project is looking to hire Research Assistants / Senior Research Assistants. Each researcher 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:

• Bachelor's / Master's degree in Computer Science, Computer Engineering, or related field.
• Demonstrated expertise in 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.

Professor John Chambers is the Toh Kian Chui Professor of Cardiovascular Epidemiology and Programme Director of the Population and Global Health Research Programme at Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University. He is also the Chief Scientific Officer for the National Precision Medicine Programme. His research programme aims to identify the molecular mechanisms underlying diabetes and premature cardiovascular disease in Asian populations, and to translate these findings into new approaches for improved prevention and early detection of these major chronic diseases.

His research team is hiring a Research Assistant to provide research support to his research programme to develop stratified approaches for health promotion and therapeutic intervention, in particularly for type 2 diabetes (T2D) and cardiovascular disease (CVD).

Key Responsibilities:

• Reading / Quality check of the Carotid artery intima media thickness (CIMT) measurements and / or retinal images based on a given protocol.
• Generate reports on the findings. Able to handle, escalate and report incidental findings to study PIs.
• Assess and give suggestions to improve measurements and / or images quality. Keep inventory of measurements and / or images.
• Maintain accurate and complete documentation / records of all readings performed and strategies undertaken to improve the measurements and / or images.
• Contribute to the production of research reports and/or publications.
• Assist in co-ordination of project-related meetings, taking down summary of meeting, etc.
• Undertake any other duties relevant to the programme of research.

Key Competencies and Requirements:

• Bachelor’s degree in biomedical sciences, biotechnology or related fields
• Skills in using statistical and / or bioinformatics software, Microsoft software will be advantageous.
• Excellent trouble shooting, organization skills, and problem solving skills are also required as well as the ability to work in a team environment.
• Highly motivated, reliable and creative. Possess the ability to work independently and effectively with research details. Willing to learn new things.
• Have strong organizational and effective communication skills.
• Self-motivated and pro-active attitude.

Salary will commensurate with qualifications and experience. Interested applicants should also provider names of 2 referees, together with their application.

Seeking a full-time Research Assistant to join a team of researchers working to advance visual analytics in computer vision. Successful applicants will contribute to a research project that develops new techniques in image and video analysis.

Candidates should possess a strong interest in learning and researching state-of-the-art computer vision techniques, as well as a strong ability in coding and mathematics.

This position is ideal for individuals interested in pursuing an academically grounded, applied research career.

The candidate will be expected to:

• Understand basic machine learning and AI methodologies
• Code and run computer vision algorithms
• Contribute towards research conceptualization and methodology
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders

Skills and qualifications required:

• Obtained a Bachelors degree related to the computer science or mathematics
• Excellent written and verbal communication skills
• Strong programming skills.
• Proficiency with Python

How to apply:

Interested applicants are encouraged to send in their application with the following documents:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• Curriculum vitae

Enquiries about the position can be addressed to Assistant Professor De Wen Soh ([email protected])

Appointment will be initially made on contract basis for one year, renewable subject to good performance and mutual agreement.

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

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should also have some research experiences.

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

A Research Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

The School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

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

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

Innovative Electronic & Electromagnetic Devices Laboratory (i-Lab) at Nanyang Technological University (NTU) is looking for a Research Assistant to conduct research in the field of cryogenic microelectronics. The role will focus on design, simulation, and experimental characterization of novel cryogenic microelectronic devices.

We are looking for a Research Assistant to conduct research in the field of cryogenic microelectronics. The role will focus on design, simulation, and experimental characterization of novel cryogenic radiofrequency switches.

Key Responsibilities:

• Theoretical investigations on new cryogenic microelectronic components.
• Design and Multiphysics simulation of semiconductor radiofrequency components.
• Experimental characterization of microelectronic components.
• Providing general research support to i-Lab.

Job Requirements:

• Minimum Bachelor’s degree in Electrical Engineering or related field
• Expertise in simulating microelectronic components, complemented by advanced analytical skills.
• Good written and oral communication skills
• Good team working skills
• Entry level candidates are welcome to apply

We regret to inform 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

This project will study and propose feasible solution to retrofit existing coastal protection structures. Special feature of this proposed solution is that it must be able to reduce seawater seepage, using innovative way of impervious material. The solution must also be modular in nature, such that it can be stack onto the existing seawall or the previously installed layer.

This research fellow will help the PI and Co-PI in overseeing the project in general and help in drafting the reports. In particular, he/she is responsible for
• design and executive of centrifuge testing in this project.
• Design a wave generation inflight in centrifuge model.
• Model the impermeability of the new proposed modules, and its connection with the existing seawall.
• Data interpretation and summary the laboratory tests, arrive at some key findings on the future design.

Job Requirements

• Possess a PhD degree in relevant filed.
• Strong in basic geotechnical knowledge.
• An independent researcher.
• Strong in basic geotechnical knowledge.
• Familiar with geotechnical FEM modelling software and their applications.
• Able to analyse test data.
• Able to draft sound technical report.
• Highly motivation in doing research work.
• Innovative in thinking.
• Able to work in a team.
• Strong communication ability; written and spoken and able to present research findings.
• Open to fixed-term contract.

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in mental health using AI technologies. This role involves contributing to a groundbreaking project aimed at developing AI-driven tools for mental health support, with a focus on detecting and treating mental health disorders and distress through digital platforms.

Key Responsibilities:

• Assist in the development and refinement of algorithms designed to detect social communication patterns and signs of mental distress.
• Participate in the design and testing of AI models, including data collection, preprocessing, and analysis.
• Collaborate with a multidisciplinary team to integrate AI tools into social media and messaging apps to offer real-time mental health support.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the development of empathetic conversational support systems facilitated by human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in mental health research and AI technologies.
• Experience in research methods and statistical analysis, preferably with exposure to machine learning or natural language processing.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• Prior experience in handling sensitive data and ethical considerations in mental health research is advantageous.

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 a Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine. The Dept of Medicine at NUS is a very large research-intensive department and is dedicated to the advancement of human healthcare in Singapore first, but also beyond. More information on the department is available at https://medicine.nus.edu.sg/medi/. This Appointment will be made on a 1 year rolling contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator (Assoc. Professor Peter Goon) and other study team members to ensure the successful completion of their research studies (Virus-associated cancers with emphases on pre-cancer detection, host immunology, virology, and potential treatments, Skin cancers and drug reactions) on time. The RA’s principal role will be to work in general practices such as recruitment, data collection, laboratory experiments, data entry and analysis.

Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in hospital to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Oversee the general management of the project;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Undertake the day to day running of the project at the study site, e.g. Collaborate with team members at the study sites, laboratory experiments, recruitment, data collection at hospitals/participants’ homes;
4. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Bachelor degree in medicine or science-related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint;
4. have experiences in the medicine areas of research (if confidential, the nature of the research in general)

More Information

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Farah bte Ahmad Rosman @ [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.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Working Location: West

Job Details

• Assist in designing and implementing research-related tasks such as data collection from various sources.
• Conduct literature reviews and summarize findings.
• Assist in developing research papers, reports, and presentations.
• Maintain accurate and organized records of research data and findings.
• Attend research-related meetings.
• Collaborate with the research team to achieve project goals.
• Assume additional responsibilities as assigned by the reporting officer/HOD.
• Effectively organises meetings.
• Timely replies to ethics board, administration related requests

Qualification Required and Area of Discipline

• Bachelor’s degree in social sciences/humanities, science, business or marketing.
• At least 1-year relevant experience.
• Good verbal and written communication skills
• Good interpersonal skills

We regret that only shortlisted candidates will be notified.

Interested applicants kindly click on "apply now" and please send in your updated resume to [email protected]

T Stephanie | R1548888

People Profilers Pte Ltd | 10C3804

20 Cecil St, #08-09, PLUS Building, Singapore 049705

http://www.peopleprofilers.com

A Research Assistant position is currently available in the College of Business, Nanyang Business School.

Key Responsibilities:

• Conducting legal research from latest literature (ie, legislation and other relevant material, case law, journal articles, annual reports etc)
• Organising and summarizing research materials
• Preparing summaries, draft reports/ papers etc
• Supporting in research data and information collection and collation, including compiling related data from relevant databases or other source materials
• Providing other assistance and engaging in administrative tasks where required relating to ongoing or new research projects

Job Requirements:

• Graduand or graduate of a Bachelor degree in Law, or is in the final semester of studies from a reputable university, preferably in a common law jurisdiction such as Singapore
• Good command of English and be highlight competent in conducting legal research on legal issues relevant to Singapore and other common law jurisdictions
• Interest in corporate law corporate governance, securities regulation or sustainability/ ESG reporting is a bonus
• Familiar with Excel and be willing to learn how to use various online tools and platforms that may be relevant to research tasks
• Knowledge and interest in at least one of the following corporate law, corporate governance, securities regulation or sustainability/ ESG reporting
• Communicate well in person and in writing
• Able to work independently
• Organised
• Able to work well with others

We regret to inform 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 appointed Research Assistant will be part of the Asia Competitiveness Institute (ACI) research team, under ACI Director, Professor Paul Cheung, to work on a number of research projects related to Indonesia.

The candidates should have experience in policy analysis and are familiar with socio-economic development of Indonesia.

Qualifications

• Bachelor/Masters degree in Economics, Social Sciences, or equivalent
• Familiar with socioeconomic development of Indonesia
• Familiar with working on the large economic datasets for statistical analysis
• Demonstrate good organisational and analytical skills
• Excellent verbal and written English
• Candidate must be able to research information sources that are in Bahasa Indonesia
• Able to multitask and manage tight timelines
• Able to work in a team as well as independently. Must be highly self-motivated
• Able to commit to at least 1 year of service

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 / Research Engineer 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, developing novel computational solutions to a wide range of applications, building large-scale experimental systems 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 Assistant / Research Engineer will be responsible for working closely with the Principal Investigator and lab members on topics of “Automation of Threat Detection in Security Operation Centers (SOCs)”. He/she should possess experience or interest in the following research areas:

· Security Information and Event Management (SIEM) system

· Large Language Models

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Good publication record: and
• Experience in research.

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 aim to develop advanced AI models for creating cardiac digital twins, i.e., personalized virtual heart models. We will employ the dataset (imaging, ECG, electronic medical records, etc) collected from patients, to accurately modelling the anatomy and simulate the function of patients' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a patient's heart condition. The research will delve into the intersection of AI and cardiac sciences, exploring novel approaches to revolutionize our understanding of the human heart. With the potential to impact medical treatments and technology advancements, it promises an exciting and important avenue for personalized medicine. We will collaborate with a multi-disciplinary team, including academics/ experts from NUS, University of Oxford, University of Southampton, Imperial College London, Fudan University, etc.

The selected Research Assistant will be required to:

• Collect, preprocess, and analyze clinical data.
• Develop neural surrogate model for efficient cardiac simulation.
• Write well-documented code for experiments, ensuring reproducibility and efficiency.
• Write and submit research articles to top-tier peer-reviewed journals and conferences.

Qualifications

• Possess a recognised bachelor’s degree in biomedical engineering, computer science, data science, applied statistics/ mathematics, or any-related field.
• Strong problem-solving abilities and learning capability.
• Proficiency in programming (Python, C++, etc)
• Strong written and spoken communication and comprehension and able to present results clearly.
• First-authored relative publication in top-tier journals and conferences are preferred.
• Being self-motivated and enthusiastic about AI for healthcare.
• Open to fixed-term contract.

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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

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

• Daily operational tasks such as subject recruitment, data collection, sample collection, processing and storage.
• Follow up with research subjects for research visits
• Assist PI with research meeting and collaboration
• Assist PI with databases creation and data entry
• Assist PI with ethics application
• To perform other related duties, incidental to the work described herein.

Qualifications

• Bachelor’s Degree in Nursing or relevant
• Excellent writing and communication skills in English
• Highly organized and able to work effectively under pressure, use independent judgement, and produce a quality work product within tight time constraints
• Ability to work in a multidisciplinary team

1. Cover letter highlighting relevant experience and career goals
2. Curriculum Vitae, containing details of three named referees
3. A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

Please note that only 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.

About WIL@NUS

WIL@NUS is the joint laboratory of Wilmar International Limited and National University of Singapore. The laboratory is involved in a wide spectrum of research areas including protein production and characterization, metagenomics and host strain development. A research scientist position is currently available for the microbial host strain development and the use of microbial system for industrial applications.

Responsibilities

• Design and conduct experiments, process and analyse data
• Write research papers, patent applications, reports, reviews and summaries and communicate/present results to colleagues, external scientists and stakeholders
• Collaborate with Wilmar-related companies to apply the research findings and develop improved techniques, products or practices
• Visit factories and other Wilmar-related research and development centres to liaise future research directions
• Attend international conferences on topics of interest to Wilmar Innovation Centre
• Develop new areas of research and write proposals

Qualifications/Requirements

• Ph.D. degree in biochemistry, microbiology, molecular biology or related discipline
• Work experience in general microbiology, molecular cloning, protein expression and biochemistry, experience in genome editing is preferable
• Ability to work independently and also work effectively in a team
• Good interpersonal skills and the ability to work harmoniously with a diverse workforce

Lee Kong Chian School of Medicine (LKCMedicine) is recruiting a Research Fellow specialising in the field of digital health and health education in Professor Jennifer Cleland’s group. LKCMedicine is a joint medical school between Nanyang Technological University (NTU) and Imperial College London.

As a Research Fellow, you will play a pivotal role bringing expertise in digital health and health education, working closely under the guidance of Professor Cleland. The role involves providing crucial support to Professor Cleland, who leads the World Health Organization Collaborating Center (WHOCC) for Digital Health and Health Education. The role will involve conducting evidence synthesis using various methods (quantitative, qualitative, mixed methods) for systematic reviews. The applicant will collaborate with a multidisciplinary team of systematic reviewers to evaluate evidence on digital health and health education topics. The impact of your contribution will directly contribute to the field of digital health and health education at the regional and international platforms.

Key Responsibilities:

• Perform extensive review for various types of deliverables (e.g., policy briefs, white papers, background papers, technical briefs, research protocols, peer-reviewed publications) on a wide range of digital heath and health education policy topics.
• Search and assess potential sources of qualitative and quantitative data, evidence, and information that are suitable for addressing project questions and objectives.
• Analyse and interpret data from diverse sources.
• Simplify and communicate complex information from various inputs into clear and accessible written materials for different audiences.
• Prepare written and/or oral reports and analyses to present findings.
• Produce high-quality written work products and deliverables.
• Organise, implement, and coordinate activities to execute assigned tasks and projects.
• Coordinate project activities and logistics with stakeholders, industry representatives, and policy professionals as needed to support project execution, data collection, and/or dissemination of results.
• Prepare internal briefing and or meeting materials on assigned projects.
• Support Principal Investigator in drafting presentations, speaking points, and visualisation aids.
• Foster strong and supportive working relationships across the project team(s) and Centre.

Key Competencies and Requirements:

• PhD in Health Policy, Public Health, Public Administration, Epidemiology, Nursing, Biostatistics, Social Sciences or a related discipline.
• Proficiency in medical terminology, evidence-based medicine and the utilisation of epidemiologic principles in guideline formulation.
• Background in crafting and executing diverse types of evidence synthesis, encompassing scoping reviews, systematic reviews, integrative reviews, etc.
• Proven track record in peer-reviewed publications, with experience as lead/first author.
• Demonstrated success of project implementation and management.
• Experience in research grant application, grant reporting, and research agreements management.
• Experience in supervising for junior researchers and/or students.
• Strong ability to integrate knowledge from diverse disciplines for comprehensive evidence synthesis.
• Effective verbal and written communication skills, especially in translating complex findings for varied audiences.
• Organised, detail-oriented, meticulous, and proficient in handling data.
• Responsible and takes ownership of assigned tasks.
• Proficient in ensuring adherence to institutional guidelines, policies and regulatory requirements throughout project lifecycle.
• Highly motivated and able to work independently, as well as collaboratively in a diverse and interdisciplinary team.
• Effective computer and technology literacy.
• A willingness to take new projects as they arise.

A Research Associate position is available to join the Microbiome Medicine Laboratory led by Associate Professor Sunny Wong at the Lee Kong Chian School of Medicine, part of Nanyang Technological University.

Our mission is to promote and develop a sustainable research center dedicated to conducting impactful translational microbiome research. The lab focuses on translational research, transforming fundamental research findings into tangible benefits for patients, Singapore, and the broader public. The successful candidate will join our team to undertake high-quality research in microbiome medicine, aligning with the overarching research strategy of the school.

Key Responsibilities

• Provide bioinformatics analysis for omics projects and software compilations
• Perform molecular biology assays/ experiments
• Contribute to formulating hypothesis, grant writing, publications in peer-reviewed journals
• Participate in seminars and meetings within the team and collaborators
• Manage datasets and databases, ensure data security, privacy, and compliance to university guidelines
• Supervision of junior members of the lab, including graduate and undergraduate students

Competencies and Requirements

• Masters (for Research Associate) in relevant field of Bioinformatics, Computational Biology, Life Sciences, or related fields
• Research experience preferably in the bioinformatic or biomedical field
• Experience using programme languages such as JavaScript, Python, R or similar programming languages
• Hands-on experience with in vitro cell culture assays, molecular and cell biology techniques
• Self-directed learner who picks up relevant skills as required
• A record of productivity with scholarly, peer-reviewed publications
• Able to work independently and as a team player

Job description

Nanomatics, a cutting-edge startup revolutionizing plastic waste management, is seeking a Research Engineer with background in manufacturing and engineering. The candidate will lead research and development activities at Company’s manufacturing research facility (demonstration plant) for plastic waste upcycling.

Responsibilities

1. Contribute to research and development work at a manufacturing research facility (demonstration plant) through experiments including:

- Plastic waste conversion into various products.

- Analysis of energy and material balances.

- Evaluation of process performance.

- Implementation of modifications and improvements to original design.

- Documenting activities and data obtained.

- Development of improved processes for material handling, treatment and storage.

2. Ensure adherence of operations to all regulatory and statutory requirements, especially, workplace health and safety practices. Liaise with safety officer and operation teams to prepare and maintain up to date relevant work permits, risk assessments, safe work procedures and method statements.

3. Organize, monitor and ensure that manufacturing research facility is operated with maximum efficiency at minimum cost.

4. Perform routine checks and process control to ensure smooth operation and keep relevant records of these activities.

5. Maintain and improve housekeeping. Ensure that waste, chemicals, product handling equipment and assigned areas are kept clean.

6. Assist with other tasks as directed by a supervisor and company management.

Requirements:

1. Degree or Diploma in Chemical Engineering, Mechanical Engineering, Manufacturing or related field of study. Fresh graduates will be considered, although work experience in manufacturing will be beneficial.

2. Hands-on experience including: metal design and fabrication, using hand tools (non-powered and powered), minor repairs and maintenance of equipment, day-to-day troubleshooting of machinery/equipment.

3. Strong verbal and written communication skills in English to communicate with other team members and workers.

4. Software knowledge: MS Office, Google Docs, Autodesk (Fusion).

6. Fit to wear dust mask/gas respirator.

7. Prepared to work in Tuas area (near Tuas Crescent MRT).

8. Resilient to noise, dust and heat at the manufacturing site.

The vision of our research program is to retain the workflows of software construction as they exist today in the form of Continuous Integration (CI) systems, and yet support automated software evolution with formal correctness guarantees, thereby engendering trust in automatically generated code. Our research program can help achieve such a vision via analysis, verification, and test generation. Applications of repair studied in the program will include security vulnerability repair, patch transplantation across versions of major software systems such as Linux, as well as the use of agentic workflows to automate software evolution.

You will work on pioneering projects that advance the application of AI and ML within the realm of software engineering. This role offers the opportunity to conduct cutting-edge research, develop novel algorithms, and contribute to the development of software tools that enhance system performance, reliability, and flexibility.

Responsibilities

• Conduct applied research in integrating AI/ML techniques with software engineering practices to improve code quality, testing, and software maintenance.
• Design and implement experimental prototypes to demonstrate the feasibility and effectiveness of new methodologies.
• Collaborate with cross-functional teams, including AI researchers, software engineers, and product managers, to translate research findings into practical applications.
• Stay informed about the latest advancements in AI/ML and software engineering to identify emerging trends and opportunities for innovation.
• Publish research findings in leading academic conferences and journals, and present innovative work to the broader research community.

Requirements and Skills

• Master's or Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Strong research background in AI, ML, and/or SE with a solid publication record in A and A* level conferences/journals. Minimum of 2 publications in top-tier conferences or journals.
• Strong problem-solving skills and ability to work independently in a research setting.
• Excellent communication skills for conveying complex technical concepts.
• Experience in developing tools or frameworks that utilize AI/ML to enhance software development processes.
• Experience with DevOps tooling, such as Kubernetes, Docker, and Ansible.
• Experience with general-purpose languages, such as Java, C#, C/C++, Python, Rust
• Familiarity with techniques for automated code generation, program verification, program synthesis, or software testing using AI/ML.
• Strong knowledge in state-of-the-art research in ML for Software engineering, such as experience in Prompt Engineering, Agentic Systems, Chain of Thought applications

Company Description:

Entropica Labs is a Singapore-based quantum computing software company creating the software layer to support fault-tolerant quantum error correction–the ability to actively remove errors from quantum computations and unlock the transformative applications of quantum computing. Entropica Labs empowers developers, researchers, and domain experts to accelerate the arrival and adoption of fault-tolerant quantum computing.

About the team:

Our team at Entropica Labs combines deep expertise in quantum computing, software engineering, quantum information, and advanced error correction methodologies to build essential tools for practical quantum error correction. If you are a creative thinker and problem solver passionate about tackling complex challenges, join us to shape the future of quantum computing.

For more information, visit https://entropicalabs.com/.

Job Requirements:

• Expertise in quantum error correction (Master level or equivalent experience).
• Industry experience preferred.
• Familiarity with quantum computing applications is a plus.

Key Responsibilities:

• Collaborate with the Quantum Error Correction (QEC) team to develop fault-tolerant quantum algorithms.
• Work with commercial and applications teams to identify relevant quantum computing use-cases.
• Build prototype solutions and assess potential quantum advantages.
• Working with the team to build, test, and benchmark different components of Entropica’s technology stack;
• Implementation and analysis of quantum computing and quantum error correction algorithms and schemes, methods, and protocols;
• Attendance at conferences and meetings, with possible overseas travel;
• Participation in customer and partner projects;
• Reading scientific literature and presenting complex ideas to the team;

Qualifications:

• Excellent English, written and spoken.
• Proven background in quantum error correction.
• Academic experience (Master level or beyond); industry experience is a bonus.
• Strong problem-solving skills and ability to collaborate across teams

How to Apply:

Interested candidates should submit a cover letter (including personal references, if possible), a resume, and a sample of relevant research work or publications.

Job Description:

• Capable of optimizing molecular and cellular assays for characterization of genetically modified immune cells. These assays may include RNA extraction, real-time PCR, ELISA, western blotting, cytotoxicity assay, cell proliferation assays and cytokine measurement etc.,
• Multi-parametric immunophenotyping by flow cytometry techniques
• Good hands-on experience with PBMCs and cellular therapy products either through established protocols, or to optimize new protocols as seen necessary.
• Maintains accurate and detailed documentation of laboratory procedures and experiments.
• Oversee maintenance and operation of laboratory such as replenishing & triggering order of consumables, collection of waste materials, maintenance of laboratory equipment, etc.

Job Description/Job Scope

1. Characterization of emerging data storage & communication systems

2. Research and development of advanced channel coding algorithms and techniques, with a focus on polar coding

3. Implementation of the developed algorithms into Matlab and C/C++ software packages

4. Working out research papers and patents

Qualifications, Skills, Experience

1. A PhD degree in Electrical Engineering

2. Fundamental knowledge on Error Correction Coding, Polar Coding, and Digital Communications

3. Matlab and C/C++ programming skills

4. Fluent in both written and oral English