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.

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

Position Available: Research Associate

SBS invites applications for the position of Research Associate in Professor Zbynek Bozdech’s group. This role focuses on functional omics studies of the malaria parasite, including Transcriptomics, Proteomics, and Genomics.

Key Responsibilities:

• Perform bioinformatic analyses on bulk, single-cell, and multi-omics sequencing datasets from diverse sources (e.g., patients, in vivo, in vitro).
• Identify novel biomarkers, key regulators, mechanisms, or pathways using datasets such as whole genome sequencing and RNA-seq.
• Develop and maintain bioinformatic pipelines for genomics and transcriptomics processing and analysis.
• Stay updated on advancements in bioinformatics and data science, integrating new methodologies into research workflows.
• Collaborate with cross-functional teams to incorporate bioinformatic solutions into broader research projects.
• Any other duties as assigned.

Job Requirements:

• A Master’s degree in Bioinformatics, Computational Biology, Biology, or Biochemistry.
• Advanced expertise in bioinformatics, with knowledge of population-scale genomics.
• Proficiency in programming languages such as R and/or Python.
• Experience working in a Linux/Unix environment.
• Strong problem-solving skills and excellent attention to detail.

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.

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

Location

Boon Lay

Working Hours

5.5 days

• Mon - Fri: 8.30 – 5.00pm / 9.30am - 6pm
• Sat: 8.30am - 1.00pm / 9-1.30pm

Job Scope

Support Clinical Project Managers (CPMs) and study team with administrative, documentation, TMF, budget management and logistic activities related to Clinical studies during the operational phase of clinical trials to ensure the timely delivery of quality data while complying with internal Standard Operating Procedures, applicable laws and ICH Good Clinical Practice.

• Supports high-quality electronic Trial Master Files (eTMFs). Performs set-up, maintenance (filing and approving documents) and archiving of eTMFs.
• Provides CRO oversight by developing eTMF guidelines, establishing review processes, and ensure the filing completeness.
• Manages documentation of clinical studies in compliance with Good Clinical Practices (GCP) and relevant Standard Operating Procedures (SOPs) and perform filing QC
• Supports CPMs with vendor creation, budget and invoice management: checking of good receipt and payments, uploading invoice information in Finance budget tool, assist on planning of commitments monthly and keeping track of actual spending for each study
• Supports maintenance of clinical studies management tracking tools and trackers. Support study team to register study on ct.gov.
• Assists study team with trial management logistical support (sample or ancillary shipments, procurement of study supplies, organizing trainings).
• Assists study team in the quality check of protocols, informed consent forms and advertisement materials to ensure compliance with SOPs and regulatory requirements.
• Supports organization of clinical meetings (internal meetings, meetings with CROs, Investigators meetings, etc.) including agenda, minutes, logistics.
• Assists in managing global communications (e.g., Newsletters, emails, website posting). "
• Assists with the preparation, review and maintenance of SOPs, work instructions, training materials, and templates related to project activities.

Requirements

• Bachelor’s Degree in health care, life sciences or related field with demonstrable related experience in in Food/Pharma/CRO industry or in an academic setting
• Records management experience in a GCP-regulated environment.
• Experience in clinical trials in Nutrition is an advantage
• Good knowledge of Good Clinical Practices (GCP), regulations/guidelines and of the quality control process and compliance requirements in relation to TMF
• Proficient and agility in common office technology e.g. Microsoft tools, teleconferencing, etc.
• Strong general administrative skills and a minimum of 2 years of clinical studies administration experience
• Educational background in biological science or other relevant science.

WA me at https://wa.me/+6584998483 NOW!

Interested candidates, please submit your resume to [email protected]

JeAnn Leow
Outsourcing Team
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Location

Boon Lay

Working Hours

5.5 days

• Mon - Fri: 8.30 – 5.00pm / 9.30am - 6pm
• Sat: 8.30am - 1.00pm / 9-1.30pm

Job Scope

Support Clinical Project Managers (CPMs) and study team with administrative, documentation, TMF, budget management and logistic activities related to Clinical studies during the operational phase of clinical trials to ensure the timely delivery of quality data while complying with internal Standard Operating Procedures, applicable laws and ICH Good Clinical Practice.

• Supports high-quality electronic Trial Master Files (eTMFs). Performs set-up, maintenance (filing and approving documents) and archiving of eTMFs.
• Provides CRO oversight by developing eTMF guidelines, establishing review processes, and ensure the filing completeness.
• Manages documentation of clinical studies in compliance with Good Clinical Practices (GCP) and relevant Standard Operating Procedures (SOPs) and perform filing QC
• Supports CPMs with vendor creation, budget and invoice management: checking of good receipt and payments, uploading invoice information in Finance budget tool, assist on planning of commitments monthly and keeping track of actual spending for each study
• Supports maintenance of clinical studies management tracking tools and trackers. Support study team to register study on ct.gov.
• Assists study team with trial management logistical support (sample or ancillary shipments, procurement of study supplies, organizing trainings).
• Assists study team in the quality check of protocols, informed consent forms and advertisement materials to ensure compliance with SOPs and regulatory requirements.
• Supports organization of clinical meetings (internal meetings, meetings with CROs, Investigators meetings, etc.) including agenda, minutes, logistics.
• Assists in managing global communications (e.g., Newsletters, emails, website posting). "
• Assists with the preparation, review and maintenance of SOPs, work instructions, training materials, and templates related to project activities.

Requirements

• Bachelor’s Degree in health care, life sciences or related field with demonstrable related experience in in Food/Pharma/CRO industry or in an academic setting
• Records management experience in a GCP-regulated environment.
• Experience in clinical trials in Nutrition is an advantage
• Good knowledge of Good Clinical Practices (GCP), regulations/guidelines and of the quality control process and compliance requirements in relation to TMF
• Proficient and agility in common office technology e.g. Microsoft tools, teleconferencing, etc.
• Strong general administrative skills and a minimum of 2 years of clinical studies administration experience
• Educational background in biological science or other relevant science.

WA me at https://wa.me/+6584998483 NOW!

Interested candidates, please submit your resume to [email protected]

JeAnn Leow
Outsourcing Team
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (postdoc) positions in the Department of Chemical and Biomolecular Engineering at National University of Singapore (NUS).

The primary objectives of these two positions are to foster a profound design principle towards novel, cost-effective electrocatalysts and reactors for the efficient conversion of CO2/CO into liquid fuels. Furthermore, these roles will involve exploring the potential for synergizing biochemistry and electrochemistry, with the overarching goal of enhancing selectivity and efficiency in the conversion of CO2 into multi-carbon products. Extensive state-of-the-art infrastructures for materials synthesis and physical characterizations are established at the Department.

The research fellows are required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

The applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

We are seeking a highly motivated and skilled Research Officer to join our team. The successful candidate will be responsible for implementing and optimizing algorithms for the generation of synthetic RNAs. This role involves a strong emphasis on computational biology, algorithm development, and the application of machine learning techniques to simulate RNA sequences and structures.

Key Responsibilities:

• Develop, implement, and optimize algorithms for generating synthetic RNA sequences with specific properties.
• Collaborate with cross-functional teams to integrate these algorithms into our synthetic biology platform.
• Analyze large datasets to validate the accuracy and efficiency of generated synthetic RNAs.
• Work closely with experimental biologists to design in silico RNA sequences that can be tested in the lab.
• Contribute to the development of software tools that assist in the design and simulation of synthetic RNAs.
• Stay updated with the latest research and technological advancements in the field of RNA biology and synthetic biology.
• Document research findings and present them at internal meetings and external conferences.

Requirements:

• A Master or Bachelor degree in Computational Biology, Bioinformatics, Synthetic Biology, Computer Science, Statistics, or a related field.
• Strong programming skills in languages such as Python, R, or C++.
• Experience with RNA sequence analysis, algorithm development, or machine learning is preferred.
• Familiarity with RNA secondary structure prediction and synthetic biology principles is a plus.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

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

We are expanding our laboratory unit at the Pediatric Brain Tumor Research Office, SingHealth Duke-NUS Academic Medical Center. This is a Research Officer position. You will be working on molecular and cellular characterization of genes and biochemical/functional experiments related to translational aspects of human carcinogenesis, as well as mouse models.

Requirements:

- Bachelor of Science with Honors.
- Technical competence in a broad set of laboratory skills.
- Laboratory experience in molecular biological and cell culture techniques will be required.
- Experience in handling experiment with laboratory mice.
- Fluent in both written and spoken English.
- Ability to work independently, a good team player with good communication skills and dedication to the job.
- Conscientious, well organized and efficient in work management.
- Basic skills in computing and statistics analyses.

You are expected to work in a very friendly laboratory environment, with great learning opportunities, and mentorship from a clinician-scientist. Motivated individuals with good academic performance are encouraged to apply.

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Centre for Holistic Inquiry into Lifelong Learning (CHILL).

The Research Fellow will be responsible for working closely with the Principal Investigator (A/Prof Suranga Nanayakkara). He/She will work in developing effective pedagogical strategies for CET (Continuous Education and Training) courses. Their work will involve developing potential strategies based prior work and in-house qualitative/quantitative data collections, designing interventions based on these strategies, testing and piloting them across various adult/lifelong learning courses.

Major responsibilities include:

1. Working with A/Prof Suranga Nanayakkara and Senior Research Fellow at CHILL to conduct original, impactful research.

2. Taking the lead on research & development work related top pedagogical strategies for CET (Continuous Education and Training) courses.

3. Contributing to disseminate research outcomes to the audience in the field of Adult Learning/Education/Learning Sciences through presentations, demos and journal/conference papers.

4. Participating in project meetings as well as industrial/academic events.

Qualifications

• A PhD in Learning Sciences, Education or related field
• Expertise in Adult Learning Theories and Frameworks
• Expertise in Qualitative Research Methods
• A strong research background with proven publication track record
• Excellent communication skills (written and verbal) and interpersonal skills

Why join us

NUS is a world-class university (ranked within the top 10 in the world) that provides an outstanding and supportive research environment. The CHILL is an excellent environment with a diverse team which will accelerate your research career.

The initial term of appointment will be 1 year (renewable). The selected candidate will be offered competitive salaries and benefits.

CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s core competencies in Engineering, Exact Sciences, International Studies and Business, among others.

We have a dedicated core team that uses its domain expertise and global experience while leveraging on NTU’s vibrant research culture and comprehensive R&D infrastructure to deliver state-of-the-art R&D projects. We engage with local as well as global agencies and industry partners to develop capabilities for a number of areas of strategic importance including:

• cyber worthiness of autonomous vehicles
• cyber risk management, advanced threat intelligence
• secure-by-design for IoT and policy
• governance of cybersecurity

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

We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent systems, addressing security challenges, and exploring information propagation theories to enhance the robustness and efficiency of these systems in real-world applications.

Key Responsibilities:

• Designing and developing multi-agent systems for large language models (LLMs).
• Investigating the security challenges and information propagation theories in multi-agent system.
• Writing high-quality research papers based on research findings.
• Developing research proposals related to multi-agent systems and their applications.

Job Requirements:

• PhD degree in Computer Science, Artificial Intelligence, or related fields.
• Strong research background in multi-agent systems and large language models.
• Expertise in security issues and information theory applied to multi-agent systems.
• Proven research experience in publishing high-quality research papers in top-tier conferences and journals.
• Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems).
• Good written and oral communication skills.
• Entry level candidates are welcome to apply.

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The Candidate will be working on dynamic modelling and simulation of the powertrain of a full electric tug vessel, mainly using MATLAB/Simulink. The simulation models will be used to investigate the steady state and transient behaviour of the ship’s electric propulsion system.

Key Responsibilities

• Development of dynamic models of the ship’s electrical propulsion system including energy storage systems.
• Investigate steady-state and transient behaviours of an all-electric ship’s electrical system in various operational scenarios.
• Carry out mission-specific electrical power consumption analysis
• Electrical propulsion and ESS design optimization.
• Any other duties as assigned by the supervisor.

Job Requirements

• Bachelor's Degree or above in the areas of Electrical Engineering, Mechanical Engineering or Marine Engineering
• Other relevant disciplines are welcome to apply
• Background in programming languages and related research project experience is ideal

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

Qualifications

• Master's degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• The candidate will work for the project to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve transportation related problems:
• Develop mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles
• Conduct computer programming to verify the efficiency of the designed solution algorithms
• Conduct survey to better understand the travelers’ perception towards the new technology based public transport services
• Analyze data acquired from the field survey
• Develop mathematical models to predict passenger demand for public transport services with autonomous vehicles

Job Requirements:

• Preferably PhD in computer engineering, transportation engineering or related field.
• Expertise in computer programming
• Knowledge in urban transportation studies, traffic flow theory, operation research
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Excellent teamwork and verbal, written communication skills
• Independent, highly analytical, proactive and a team player
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Conduct R&D in Vehicle-to-Everything (V2X) related areas, define requirements, specifications, and innovative design to contribute to V2X software system. Get feedback from, and build solutions for, users and customers.
• Perform R&D on next generation V2X systems with in-vehicle interaction system, virtualised, cloud-based vehicle device and data management platform
• Perform R&D on latest Vehicle-to-Everything (V2X) software system, with objective to deploy commercial trials and rollouts in the market in partnership with industry leaders in this area
• Research and build up know-how and hands-on experience on the AI, Frontend, Backend and Simulation. Optimize applications for maximum speed and scalability.
• Design and develop backend components of V2X applications and services, ensuring high performance, scalability, and reliability
• Work with spatio-temporal databases, including designing and maintaining database schemas, optimizing queries, and ensuring data integrity
• Develop and maintain APIs for accessing and manipulating spatio-temporal data
• Design strong APIs that support mobile and desktop clients
• Collaborate with the front-end developers and other team members to set objectives and design robust, functional codes
• Ensure compliance with latest V2X standards and best practices for V2X data management, processing, and analysis
• Designing and implementing V2X simulation software that model and simulate traffic elements, traffic patterns, transportation systems, infrastructure and different V2X scenarios
• Designing and implementing data mining algorithms and statistical models to extract insights from large datasets from V2X system
• Analyze simulation results to identify potential traffic safety and efficiency issues and propose solutions for improvement
• Conduct performance testing and optimization of simulation models

Requirements:

• Master’s degree in computer science, Engineering, Information Technology, Robotics or relevant studies, with at least a total of 15 years working experience in multiples technical development and research roles using in at least one of the following programming languages: C++/C/Java/Python.
• At least 8 years track record in technical research and development of software and applications for on Robotics, Smart Mobility & IOT, Autonomous Driving and Vehicle-to-Everything (V2X) software systems such as

1. Behaviour modelling and cognitive AI in V2X systems,
2. Data-driven V2X / traffic simulation
3. V2X intelligent perception (including multi-modal sensor fusion, object tracking, event detection, etc.)

• Candidates are expected to have sound knowledge and understanding in principles of machine learning, including neural networks, optimization methods, and statistical methods
• Candidates are expected to have experience with modern frontend frameworks and libraries such as React and Vue.js, and knowledge of responsive design principles and cross-browser & cross platform compatibility issues
• Candidates are expected to have solid experience in Java and its ecosystem (including frameworks like Spring Boot, OSGi, Hibernate, and Java EE), web services and APIs (such as REST, gRPC, WebSockets, MQTT)
• Candidates are expected to be familiar with simulation tools such as SUMO, CARLA, NS-3.

Admin/Clerical Assistants urgently required. 5day week/near MRT station.

Knowledge of office procedures like MS Excel and Words. Execute administrative tasks

such as document preparation, data entry, keeping records & managing orders.

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities within HSSR and Prehospital Emergency Research Centre (PERC), a centre part of HSSR. These include but will not be limited to the following: -

• Lead the design and implementation of projects aimed at understanding health services research, with a focus in prehospital and emergency studies.
• Conduct independent and collaborative research, including designing, implementing, and analysing data for high-impact studies.
• Develop predictive models and machine-learning tools for enhancing emergency medical systems and triage processes.
• Contribute to research writing and management of grant proposals.
• Support research activities relevant to the scope of HSSR and PERC.
• Draft research abstracts and manuscripts for scientific sharing and publication.
• Present research outcomes at international and local conferences.
• Mentor graduate students and junior researchers.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements:

• PhD in Public Health, Health Services Research or other related disciplines.
• Prior experience in healthcare would be advantageous.
• Proven track record of academic publications, including writing/drafting first-author papers
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Self-motivated individual, enthusiastic to take initiative, and able to work independently and collaboratively in a diverse team.

We regret that only shortlisted candidates will be notified.

• 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 2 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

Singaporeans/ SPRs preferred

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

Roles & Responsibilities:

· Responsible for analysing wastewater samples using various analytical lab methods

· Perform lab equipment maintenance, troubleshooting, and calibration

· Develop methods for wastewater treatment according to customer’s requirements

· Develop test plans, drive testing execution, analyze, document results, and report to respective PIC.

· Lead and guide technician(s) priority, workload, technical understanding

· Learn critical market drivers/needs and understand product applications

· Manage projects or sub-projects including timelines and budgets and work in an interdisciplinary team

· Consolidate and analyse data for process quality control and reporting purposes, ensure compliance with relevant standards and regulatory requirements.

· Facilitate laboratory equipment, accessories, and consumable purchase and inventory management

· Developing and maintaining an effective laboratory workforce by constantly improving work methods

Qualifications/Experiences required:

· Degree in Chemistry, environmental, chemical engineering-related engineering fields.

· Able to communicate with various levels of people.

· Pleasant personality; mature, independent, and resourceful.

· Analytical with good writing, communication, and problem-solving skills

· Self-motivated, team-oriented, and flexible individual must possess the initiative and ability to take on numerous challenging tasks, and new projects, and meet high standards and deadlines.

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

Key Responsibilities:

• Conduct research and development related to AI and Computer Science
• Collect relevant dataset, and conduct experiments to gain insights on project-related research questions
• Presenting research results to collaborators at scientific meetings or producing reports/ publications

Job Requirements:

• PhD in Computer Science or related disciplines
• Good spoken and written English as required for research work
• Strong research ability
• Strong leadership quality
• Good interpersonal skills
• Ability to work well in teams

We regret that only shortlisted candidates will be notified.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the Chinese market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim to achieve every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

About the Team

Our NLP team focuses on natural language generation, improving the reasoning ability of language models, such as machine translation, natural language generation, etc. We invite researchers and engineers in machine learning and natural language processing at all levels. We aim at pushing the limits of machine intelligence.

Responsibilities

- Build multilingual multimodal large language models, multilingual translation, end-to-end speech/video cross-lingual translation large language models, text generation, and other core natural language processing algorithms.

- Building basic NLP components for different application scenarios.

- Cutting-edge NLP algorithm research and applications on our products.

Qualifications

Minimum Qualifications

- Minimum Master's in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or other relevant fields

- Experiences and strong skills in the development of technologies in some of the following areas: natural language generation, machine translation, large-scale pre-training, reinforcement learning, etc

- Strong analytical and problem-solving skills.

- Proficiency in computer science and coding skills.

Preferred Qualifications

- Candidates with top conference papers or influential open-source projects are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the Chinese market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim to achieve every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

About the Team

Our NLP team focuses on natural language generation, improving the reasoning ability of language models, such as machine translation, natural language generation, etc. We invite researchers and engineers in machine learning and natural language processing at all levels. We aim at pushing the limits of machine intelligence.

Responsibilities

- Build multilingual multimodal large language models, multilingual translation, end-to-end speech/video cross-lingual translation large language models, text generation, and other core natural language processing algorithms.

- Building basic NLP components for different application scenarios.

- Cutting-edge NLP algorithm research and applications on our products.

Qualifications

Minimum Qualifications

- Minimum Master's in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or other relevant fields

- Experiences and strong skills in the development of technologies in some of the following areas: natural language generation, machine translation, large-scale pre-training, reinforcement learning, etc

- Strong analytical and problem-solving skills.

- Proficiency in computer science and coding skills.

Preferred Qualifications

- Candidates with top conference papers or influential open-source projects are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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.

Overview

The Department of Computer Science at the National University of Singapore is seeking a Postdoctoral Research Fellow (RF) or Senior Research Fellow (SRF) specializing in the areas of multimedia forensics and digital trust enhancement. This project focuses on the development of advanced solutions for detecting forged images, ensuring audio-video consistency, and enhancing multimodal identity verification.

The project combines expertise in deep learning, multimedia analysis, and security to create systems capable of operating in real-world environments while addressing the challenges of digital impersonation and media manipulations. Candidates will be selected based on their research ability and previous experience in fields relevant to digital security and multimedia forensics. Applicants are expected to have a robust technical background acquired during their PhD studies.

The multimedia security group at NUS offers a dynamic and supportive research environment, ideal for individuals keen on contributing both theoretically and practically to the field of digital security.

Job Description

• Contribute to research initiatives by developing and validating algorithms for audio-video synchronization and identity verification.
• Supervise the integration of these technologies into a cohesive system to enhance multimedia content security.
• Publish findings in high-impact journals and present at international conferences

Qualifications

• Completed all requirements for a PhD degree.
• The candidate’s track record in publication, and strengths as an independent researcher are valued.
• Expertise in advanced signal processing techniques, computer vision algorithms, or AI-based synthetic media detection is strongly preferred. If the candidate has demonstrated experience in multimedia forensics, especially in detecting deepfakes or manipulated audio/video content, this will be considered favorable.
• Committed to full-time employment at NUS, Singapore.
• Preference to candidates with strong research background relevant for the project, determined via interviews.

How To Apply
If interested, please send your resume including a cover letter, CV, and a brief statement of your work undertaken in previous positions. The initial term of appointment will be 1 year, extensible to 1 more year upon review of satisfactory performance. Selected candidates will be offered competitive salaries and benefits.

NUS is a reputed world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked (within the top 15) among the computing departments of the world.

Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

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

The job is to conduct research on the evaluation of pre-trained vision-language models' video understanding capabilities and the utilization of these pre-trained models for video question answering.

Candidate's core responsibilities are:

• Collect data through web crawling and/or crowdsourcing
• Implement baseline methods based on previous research papers
• Implement new methods to improve the performance of large language models
• Conduct experiments to empirically evaluate different methods
• Contribute to the preparation of manuscripts for publication

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in video processing, analysis, and research
• Excellent knowledge in large-scale video processing and search
• Good knowledge and experience in system development and engineering
• Good skill in computer programming
• Good knowledge in dataset curation and preparation of dataset for deep learning
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems

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