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.

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.

Our Robotics and Automation Research (ROAR) Laboratory at SUTD is a leading research laboratory specializing in reconfigurable robotics and has contributed to significant intellectual outcomes, novel robotic platforms, impactful applications, patents, and commercial products. We have developed a new branch of robotics namely tiling robotics and a stream of associated research topics.

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability
• Have a strong publication background and should be able to formulate and design experiments to test and analyse different electromechanical systems and subsystems in robots.
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively work in a multi-disciplinary team and with third-party vendors
• Able to effectively communicate ideas and take constructive criticism

Requirements:

• PhD degree in Mechanical Engineering, Electronics Engineering or related field
• Strong experience with mechanical design softwares and manufacturing processes
• Electromechanical system design experience is strongly preferred

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.

Job Description

The Department of Psychology, National University of Singapore (NUS), invites applications for the position of full-time research assistant to serve as study coordinator for a new project funded by the National Medical Research Council. The successful applicant is expected to commence duties at NUS from November 2024, or as soon as possible thereafter.

This position is connected specifically to a research project titled, "Predicting anhedonia using naturalistic and lab-based measures of reward." The projects are under the direction of Principal Investigator Assistant Professor Kean J. HSU (Department of Psychology).

Scope and responsibilities
The research assistant will provide support to the PI (Asst. Prof. Kean J. HSU) and other project team members on overall research administration for the project, including coordination of research staff and trainees based on a lab schedule, training and supervising new volunteer research assistants, screening, recruitment, scheduling, and retention of research participants, following up with participants regarding their online follow-up assessments up to six months post-baseline, tracking of overall research project progress, as well as running participants through in-lab study protocols. They will also be responsible for supporting IRB protocol modifications and compliance, managing data (including basic data analysis), and managing telegram project channel and project website. Based on their performance and skills demonstrated in this role, study coordinators may be invited to assist with manuscripts and earn co-authorship credit for their work. This position is ideal for individuals interested in graduate school for clinical psychology (whether local MA or international PhD).

If interested, please submit a cover letter that outlines your suitability to the role based on the job description and listed job skills, unofficial transcript, and resume/CV.

**Only shortlisted candidates will be contacted for interviews.

Qualifications

NECESSARY:
-Familiarity and interest in clinical psychology, behavioral medicine, or health science
-Detail oriented
-Organized
-Conscientious
-Able to problem solve and think critically when confronted with challenges or uncertainty
-Strong interpersonal skills
-Comfortable with technology and productivity software (e.g., Microsoft Office or equivalent)
-Driven/persistent

DESIRABLE (but not required for application):
-Prior volunteer/work experience in a research lab setting
-Interest in handling data analysis code (e.g., R)
-Prior experience working with individuals with mental health challenges

More Information

Location: NUS Kent Ridge Campus

Organization: National University of Singapore

Department : Psychology

Job title: AI Research Scientist

• Opportunity to be a part of a global Artificial Intelligence team!
• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified™ company.
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years

What you will do

Responsibilities include, but are not limited to:

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

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

3. Proactively scan and keep up to date with AI research

4. Support the creation of intellectual property

5. Develop and implement methodologies, benchmarks, toolkits for different AI approaches.

6. Collaborate with data science and AI community on joint projects and investigations

7. Work within an integrated manner with teams operating within agile frameworks

8. Assist in technical training and knowledge sharing

9. Senior members would have leadership of one or more AI domains and a small team of AI scientists and researchers, and be expected to play a role of active mentorship

Education Minimum Requirement:

• B.S. or M.S. in Artificial Intelligence, Machine Learning, Computer Science, or related field. PhD highly regarded but not necessary.

What you must have

To be successful in this role, you will have:

• At least 3 years of experience working with model training and deployment
• Proficiency in GenAI, deep learning, NLP, CV and ML frameworks, other AI disciplines regarded useful
• Hands-on code development experience and familiarity with the python scientific computing stacks
• Understanding of artificial intelligence research landscape and ability to review research publications
• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
• Experience developing algorithms in Python or C/C++. Knowledge of transformer-based models a plus
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions highly regarded
• Bachelor's degree in a relevant technical field or equivalent practical experience. PhD in a related field or equivalent practical experience not essential but highly regarded

Required Skills:

Artificial Intelligence, AI Research, Natural Language Processing, Generative AI, Software Development, Machine Learning

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

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 looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;https://www.mingzhaogroup.com/)

Qualifications

• PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
• Expertise in nanomaterials synthesis, electrocatalysis, and/or optical imaging
• Published in reputable international journals.
• Responsible and able to work independently.
• Good written and spoken communication.
• Good team player across multiple disciplines.
• < 5 years work experience after obtaining a PhD degree

Job title: AI Research Scientist

• Opportunity to be a part of a global Artificial Intelligence team!
• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified™ company.
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years

What you will do

Responsibilities include, but are not limited to:

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

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

3. Proactively scan and keep up to date with AI research

4. Support the creation of intellectual property

5. Develop and implement methodologies, benchmarks, toolkits for different AI approaches.

6. Collaborate with data science and AI community on joint projects and investigations

7. Work within an integrated manner with teams operating within agile frameworks

8. Assist in technical training and knowledge sharing

9. Senior members would have leadership of one or more AI domains and a small team of AI scientists and researchers, and be expected to play a role of active mentorship

Education Minimum Requirement:

• B.S. or M.S. in Artificial Intelligence, Machine Learning, Computer Science, or related field. PhD highly regarded but not necessary.

What you must have

To be successful in this role, you will have:

• Knowledge with model training and deployment
• Proficiency in GenAI, deep learning, NLP, CV and ML frameworks, other AI disciplines regarded useful
• Hands-on code development experience and familiarity with the python scientific computing stacks
• Understanding of artificial intelligence research landscape and ability to review research publications
• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
• Experience developing algorithms in Python or C/C++. Knowledge of transformer-based models a plus
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions highly regarded
• Bachelor's degree in a relevant technical field or equivalent practical experience. PhD in a related field or equivalent practical experience not essential but highly regarded

Required Skills:

Artificial Intelligence, AI Research, Natural Language Processing, Generative AI, Software Development, Machine Learning

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

The incumbent will provide data management and executive support to the overall research agenda of PPIS. He/She will be involve in data collection (qualitative and quantitative), mining, transformation, validating and analysis from multiple sources for the purposes of mapping areas of growth in research and evidence based practices, evaluation and data storytelling. He/She will need to be familiar in the areas of social and family services and be expected to be familiar in writing and presentation of reports and research papers.

Responsibilities:

• Identify, collect, process, analyse and interpret primary and secondary data for organisational sensemaking
• Identify and document appropriate tools and method for data collection.
• Identify and analyse appropriate data sources, tools and techniques for data interpretation,analysis and results
• Identify appropriate research approaches, surveys and FGDs as needed.
• Conduct landscape study and analysis in line with PPIS area of interests largely in the field of Family Services, women and children
• Develop and roll out research proposals that would enhance PPIS thought leadership and mission
• Evaluate and track impact of research projects and programmes
• Prepare and present research and evaluation report
• Drive innovation to improve quality of research project and programmes
• Provide administrative and program support for various initiatives, including but not limited to the Professional Development Series and Practice Circle. This includes coordinating logistics, managing communications, tracking participation, and assisting in the planning and execution of events and activities related to these programs

Requirements:

• Degree/Professional Qualifications in the discipline of Data Science/Business Analytics/Social Sciences or related field
• Minimum 2 years of relevant social research and evaluation experiences
• Possess strategic and analytical abilities
• Posesss good interpersonal skills to forge collaborative relationships across a wide spectrum of stakeholders
• Familiarity with analytics tools or programming languages are an advantage
• Able to communicate, write and present well

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is looking to recruit a Research Engineer to work on a research project developing an application solution for structural BIM submissions. This project aims to develop a solution that automatically checks the compliance of structural BIM submissions against existing Singapore design codes.

The candidate is expected to work on designing the overall system, liaising with vendors, lead a team of interns, and developing advanced techniques to support the system.

Job Requirements

• Possess a recognised bachelor’s in engineering, or related field from a reputable university.
• At least a post-graduate diploma or degree in computing or related fields.
• At least one year’s experience in a software development role.
• Experience with using AWS Services, specifically AWS Amplify, Amazon S3, AWS Cognito, AWS AppSync, AWS Lambda, Amazon API Gateway, Amazon Elastic Container, AWS Serverless Application Model.
• Experience with NoSQL and Graph Databases specifically MongoDB and DynamoDB.
• Experience with Git and Git related automation workflows.
• Experience with developing Entity Relationship Diagrams, Activity Diagrams, Use Case Diagram, and relevant Software Development Life Cycle processes.
• Experience with CSS Frameworks, specifically Tailwind CSS.
• Experience with Building Information Modeling and Built Environment Related Solutions.
• Experience with “Three.JS” for 3D Model Viewer Development for Web Applications.
• Experience with “OpenBim Component” (Typescript Implementation).
• Strong knowledge on Industrial Foundation Classes Schema (IFC) and related OpenBIM Standards.
• Civil Engineering/Built Environment related experience, practices and workflows will be an added bonus.
• Strong written and oral communication skills and able to present results clearly.
• Open to fixed-term contract

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow.

The Research Fellow’s role is primarily to execute project in a multidisciplinary team, aiming to perform experimental measurement to optimize the two-phase flow in trickle-bed reactors. Liquid distributions, pressure drop, heat and mass transfer properties will be evaluated under various operating conditions.

Key Responsibilities:

• Perform experimental studies on trickle bed reactors
• Provide effective design solutions to optimize the reactor performance
• Develop new methods and techniques for measurement reactor performance
• Perform technical design reviews and recommend improvements
• Prepare manuscripts, reports and presentations
• Guide and train students and junior lab members
• Maintain complete documentation for experimental measurement methods and analysis used
• Regular communications with supervisors on experimental progress and report writing

Job Requirements:

• PhD degree in chemical engineering or closely related field
• Background in process engineering
• Good understanding of the scientific and engineering principles

We regret that only shortlisted candidates will be notified.

The SingHealth Duke-NUS Global Health Institute (SDGHI) is an enabling platform for global health activities across the SingHealth Duke-NUS Academic Medical Centre (AMC). The Institute aims to address current and emerging health challenges across ASEAN member states and in other Asian countries. Working in collaboration with partners, the Institute seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

SDGHI is organised around five thematic core areas – Policy, Research, Education, Clinical Skills and Innovation – across which programmes and platforms are designed to meet the specific needs of the global health community in the region.

We are currently recruiting an Education Associate I to provide support to the Education core as it continues to ramp up efforts in the global health education space both in Singapore and regionally. The responsibilities will include, but not limited to the following:

• Support the coordination and administration of graduate-level courses offered through the Education core, including development of syllabi, selection of learning materials, development of teaching materials, maintenance of learning management system, and communication with lecturers
• Collaborate in the development of learning experiences for learners across the AMC, including Global Health webinars and seminars, targeted educational offerings for specific groups of learners (e.g. students, medical residents, specialists, etc.)
• Provide logistical and some administrative support for educational programmes including coordinating application calls, interview processes, and marketing programmes to various audiences
• Maintain communications and engagement with key stakeholders, educators, and learners of Global Health within the AMC and with regional partners
• Conduct regular evaluation of programmes and courses, analysing programme effectiveness and impact as well as implementing relevant improvements where needed
• Perform other duties related to SDGHI or the Education core as required.

Job Requirements:

• Bachelor’s Degree in Public Health, Global Health, Education, or other related disciplines.
• Minimum 2 years of knowledge, skills, expertise and experience.
• Competent in developing and constructing learning materials for tertiary education, adult learning, and public and youth engagement, as well as in facilitating learning activities and discussions and executing different types of educational experiences.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• Have strong interpersonal and relationship-building skills which are vital for engagement with partners, collaborators, funders, and other external stakeholders.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.
• A motivated,self-starter who is resourceful and independent.

We regret that only shortlisted candidates will be notified.

Part-Time Research Assistant Wanted – Immediate Start!

We are seeking a motivated and skilled Part-Time Research Assistant to support several ongoing research projects on a part-time, project-based basis. If you have a passion for research and possess the following skills, we would love to hear from you!

Key Responsibilities

· Develop theory-grounded survey questionnaires

· Conduct quantitative data analysis, with a focus on Structural Equation Modeling (SEM) using SmartPLS

· Write up SEM results and provide clear, insightful interpretations

· Perform data analysis using SPSS and create comprehensive SPSS results write-ups

· Work with Qualtrics to create surveys, extract and prepare data for analysis

· Conduct in-depth and comprehensive literature reviews

Requirements

· Proficiency in SmartPLS and SPSS is essential

· Experience in developing research surveys on Qualtrics

· Strong analytical and report-writing skills

· Prior experience in conducting literature reviews and synthesizing academic sources

Compensation

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is looking to recruit a Research Engineer to work on a research project developing an application solution for structural BIM submissions. This project aims to develop a solution that automatically checks the compliance of structural BIM submissions against existing Singapore design codes.

The candidate is expected to work on designing the overall system, liaising with vendors, lead a team of interns, and developing advanced techniques to support the system.

Job Requirements

• Possess a recognised bachelor’s in engineering, or related field from a reputable university.
• At least a post-graduate diploma or degree in computing or related fields.
• At least one year’s experience in a software development role.
• Experience with using AWS Services, specifically AWS Amplify, Amazon S3, AWS Cognito, AWS AppSync, AWS Lambda, Amazon API Gateway, Amazon Elastic Container, AWS Serverless Application Model.
• Experience with NoSQL and Graph Databases specifically MongoDB and DynamoDB.
• Experience with Git and Git related automation workflows.
• Experience with developing Entity Relationship Diagrams, Activity Diagrams, Use Case Diagram, and relevant Software Development Life Cycle processes.
• Experience with CSS Frameworks, specifically Tailwind CSS.
• Experience with Building Information Modeling and Built Environment Related Solutions.
• Experience with “Three.JS” for 3D Model Viewer Development for Web Applications.
• Experience with “OpenBim Component” (Typescript Implementation).
• Strong knowledge on Industrial Foundation Classes Schema (IFC) and related OpenBIM Standards.
• Civil Engineering/Built Environment related experience, practices and workflows will be an added bonus.
• Strong written and oral communication skills and able to present results clearly.
• 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

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;https://www.mingzhaogroup.com/)

Qualifications

• PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
• Expertise in nanomaterials synthesis, electrocatalysis, and/or optical imaging
• Published in reputable international journals.
• Responsible and able to work independently.
• Good written and spoken communication.
• Good team player across multiple disciplines.
• < 5 years work experience after obtaining a PhD degree

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi­disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We seek to recruit a highly motivated individual to join the research group of Prof. Rong Li as a postdoctoral fellow at the Mechanobiology Institute, National University of Singapore. Candidates should possess an MD and PhD, as well as a strong publication record in the field of human reproductive biology and in-vitro fertilization. They should also have a strong background in cell and molecular biology, as well as excellent communication skills and the ability to engage in collaborative research in a highly interdisciplinary environment. The successful candidate will have opportunities to work closely with talented, motivated senior research fellows and interdisciplinary PIs, as well as with cutting-edge methodologies and instrumentation.

Qualifications

• MD and PhD in molecular cell biology or relevant biomedical disciplines
• Competence in cell and molecular biology
• Experience in image analysis, photomanipulation and bioinformatics are highly desired.
• Excellent communication and organizational skills
• Highly motivated to work both independently and as a team member

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.

More Information

Location: Kent Ridge Campus

Organization: Mechanobiology Institute

Department : Research

Employee Referral Eligible: No

The Centre for Maritime Law (CML) at the Faculty of Law, National University of Singapore, was launched on 3 September 2015 and focuses broadly on international trade, transport and shipping law–related issues. It undertakes research and hosts events of scholarly value to academics, professionals, and government institutions. Its objective is to enhance the development of commercial maritime law in Singapore, the region, and further afield. CML’s continuing achievements include a highly–regarded Working Paper Series (WPS), available at https://law.nus.edu.sg/cml/publications/, and the CML CMI Database, Judicial Decisions on International Conventions, available at https://cmlcmidatabase.org/.

The Director of CML is Professor Stephen Girvin, MPA Professor of Maritime Law.

CML is inviting applications from legal professionals and academic faculty in the field of maritime law to conduct research and to participate in the work of the Centre for a temporary period of one to two months, with possible extension of up to six months.

The suitable applicant should have a PhD degree in maritime law or maritime law related areas and a minimum of three years post-doctoral experience to be appointed to the position of Visiting Senior Research Fellow in CML.

The successful applicant will join CML’s existing full–time and Adjunct research staff (see https://law.nus.edu.sg/cml/personnel/).

Benefits

The position(s) will carry the following benefits:

1. A remuneration package commensurate with qualifications and experience.
2. Allocation of designated workspace within CML.

Duties

The successful applicant will be expected to:

1. Conduct their own research.
2. Complete ONE Working Paper for CML’s Working Paper Series - to be submitted within one month from the end of the appointment and ONE refereed journal article with acknowledgements of the affiliation with CML.
3. Attend CML’s events and bi-monthly lunch seminars, as well as present a briefing on some recent issues of maritime law at one of these seminars.
4. In consultation with the Director of CML, offer one CLE (Continuing Legal Education) or CPD (Continuing Professional Development) seminar to practising professionals in Singapore.

Requirements

The selection committee will consider the following criteria in making an appointment for the position of Visiting Senior Research Fellow in CML:

1. The candidate will be of exceptional calibre.
2. The principal selection criterion will be the applicant’s potential for excellence in research and a demonstrated ability and passion in assisting in the ongoing development of CML. The applicant should, therefore, submit a proposed research plan for consideration. The selection committee will consider the alignment of the proposed research with CML’s research strengths and priorities.
3. The applicant should be exceptionally organised and have an eye for detail. A strong command of the English language is absolutely essential.

Application procedure

Interested applicants are invited to apply and submit their applications. These must comprise:

1. Covering letter

This should explain the reason for your interest in the position and address your ability to perform the duties listed above.

2. Curriculum Vitae

A detailed curriculum vita should be submitted containing complete and detailed information on academic institutions, honours, awards, all publications to date, and all professional experience (current and previous, including dates of employment and job descriptions).

3. Research Proposal

A one-page description of the intended research project should also be submitted in the application.

4. Closing Date

The closing date for receiving applications and references is 30 October 2024. Late applications cannot be considered.

5. Shortlisting and Interview

Only shortlisted applicants will be contacted concerning the status of their applications.