We are seeking a skilled and experienced scientist to join our dynamic team. The successful candidate will be working in a strong team developing diagnostic product. The role involves collaborating with cross-functional teams, understand the target product profile for the intended use, conducting feasibility studies, verification and validation as well ensuring designs meet technical and regulatory requirements.

Roles and Responsibilities:

• Executing Analytical Validation and Clinical Validation laboratory work
• Executing laboratory work for IVD/RUO product optimization
• Develop protein conjugation capabilities within the protein team.
• Develop protein conjugation workflows which applicable to IVD/RUO product development and scalable for large scale manufacturing
• Documentation of laboratory results as required by DxD Hub QMS and A*STAR
• Support the development of target product profile

Key Requirements:

• Bachelor’s degree in science, Biology or related experiences
• 3 - 5 years laboratory experience
• Knowledgeable in protein conjugation techniques and immunoassays
• Knowledgeable in diagnostics and basic life sciences technologies
• Experience with office management software such as MS office (Excel, Word, PowerPoint)
• Able to communicate effectively, multi-task and able work in a dynamic environment
• Works well as part of a team, yet able to work independently
• Self-driven team player who is able to work in a fast-paced environment
• Work on-site with a cross-functional team

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.

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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 position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

Role and Responsibilities:

Prepare resources, and chemical solutions, assemble apparatus, and deliver equipment to labs as required.

Assist teachers and students with technical advice and resources during lessons.

Inventory management of all science equipment, apparatus, and consumables.

Source and recommend equipment to replace damaged ones.

Be responsible for clearing, storing, and maintaining equipment and fume hood units.

Clear, tidy up, and put away glassware and equipment in labs daily.

Fix broken equipment or seek assistance for repair/replacement.

Support other departments in administrative jobs during school holidays.

Requirements:

Qualification- A degree or diploma in a relevant scientific field (e.g., Chemistry, Biology, Physics) or equivalent practical experience.

Experience:- Previous experience working as a laboratory technician in a high school or educational setting is preferred.

Experience with high school-level science experiments, equipment, and safety protocols.Skills and Abilities:- Strong understanding of laboratory safety practices and procedures.

Ability to troubleshoot, repair, and maintain science laboratory equipment.

Excellent organizational skills, attention to detail, and multitasking skills.

Ability to work independently and as part of a team.

Good communication skills to interact with staff, students, and parents as needed.

Proficiency in English (both written and spoken) is required, as this is the language of instruction.

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 a Research Fellow who will be responsible for designing and implementing next generation communication and networking technologies and protocols.

Responsibilities:

• Design and develop communication and networking protocols related to resource allocation, channel access, security related protocols for 5G/6G environments;
• Perform analysis and simulations to validate designs;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• PhD in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of machine learning would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• 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 a full-time (42 hours per week) Research Fellow for 36 months appointment to commence in Feb/Mar 2025 or as soon as possible.

The project is to conduct research on how the acoustic environment of a room affects and facilitates teaching pedagogy. The focus will be on optimizing architectural design to improve speech intelligibility. The study will also investigate sound reinforcement systems to enhance the speech intelligibility.

The proposed research project includes several actual social science, architectural and engineering difficulties, from building design to the integration of technologies, human perception and material science. The research fellow is responsible for data analysis, laboratory-testing and field-testing within the project period

Qualifications

Professional requirements:

• PhD (or equivalent) in acoustics (preferred specialisation: Architectural acoustics) or related discipline.
• Essential are demonstrated knowledge related to acoustic modelling, signal processing, and speech Intelligibility.
• Essential are demonstrated excellent data analytic skills, ideally with machine learning.
• Essential is the ability to design and run listening experiments.

Other general requirements:

• Essential is a demonstrated ability to undertake high quality academic research with limited supervision.
• Essential are outstanding academic writing skills, as demonstrated by a strong track record of publications relative to opportunity.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This postdoctoral position is focused on the development of a novel 3D-printed bone implant utilizing natural. The goal is to create a bone substitute that can be customized to patient-specific anatomy and effectively integrate with native bone tissue. The successful candidate will be responsible for leading research activities in material formulation, 3D printing process optimization, and in vitro/in vivo validation of the implant prototype. This is a 1-year Research Fellow position with the possibility of extension.

Qualifications

• Ph.D. in biomedical engineering, mechanical engineering, materials science, or a related field

• Expertise in biomaterial design, 3D printing technologies, and tissue engineering

• Demonstrated experience in material characterization and in vitro cell culture

• Strong publication record

• Excellent English written and oral communication skills

• Team player, able to work collaboratively in a team environment

Job Description:

• To lead, coordinate and work with cross functional teams such as tools suppliers, equipment engineers, process engineers, facility engineers, environment health and safety officer, contractors for tool placement plan.
• To participate in the evaluation, planning and supervision of projects including testing and commissioning.
• To provide support for new chemical and gas evaluations. Plan and execute specialty gas system release/unhooking up.
• To carry out overall cleanroom capacity modelling and planning, work with manufacturing, process and equipment engineering to ensure requirement is met.
• To review capacity model, understanding the constraints and re-lay the equipment layout in the cleanroom to maximise the cleanroom space usage.
• Management of contractor?s services to ensure fulfilment of contracts terms and agreements.
• Identify opportunities for innovation that are relevant and appropriate to the company business objectives
• To review capital and cashflow requirements, driving activities to improve capital efficiency and reduce cost.

Requirements:

• Degree, Diploma in Engineering (Chemical, Mechanical, Electrical/Electronic, Building Management) or equivalent.
• Degree with 3 years and Diploma with 5 years related experience in
• Manufacturing of Semiconductor, Wafer Fab.
• Able to work in fast-paced environment, proactive and able to work independently with minimum supervision, self-driven and self-motivate to get job done.
• Able to work in a manufacturing, production, cleanroom environment.
• Technical knowledge in Facilities Support System such as ACMV, HVAC, Scrubber, Electrical, Compressed Dry Air, Nitrogen, Hydrogen, Process Cooling Water, Ultra-Pure Warter, Chilled Water, Wastewater Treatment etc.
• Possess Project Management skills.
• Strong understanding of building codes, HSE laws, regulations and best practices and the ability to interpret/translate these into compliance activities
• Proficient in utilizing Excel, Power Point, Project, Word & Visio, AutoCAD.

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Somin Park on next-generation optoelectronics under a project on start-up grant.

Our group is looking for candidates with a background in material synthesis (organic synthesis, polymer chemistry), photoelectron spectroscopy, photophysical characterization, or practical experience in optoelectronic applications. The ideal candidate will have the opportunity to develop and lead their own research projects while collaborating with interdisciplinary teams worldwide and providing mentorship to fellow team members.

The main responsibilities of the position include:

• Design and optimize materials for various optoelectronic applications
• Conduct electrical photophysical characterizations
• Mentor and supervise graduate students and research assistants working on related projects

Qualifications:

- A PhD in Chemistry, Physics, Materials Science and Engineering, Chemical Engineering, or related fields
- Strong publication record in peer-reviewed journals

Skills:
- Material design, characterizations
- Good communication skills, both written and verbal in English

Experience:
- Material synthesis, advanced characterizations, and practical experience in optoelectronic applications

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 Engineer position in the Department of Materials Science and Engineering at National University of Singapore (NUS).

With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. We are seeking a talented and experienced individual with expertise in material chemistry and chemical engineering to join us.

As a Research Engineer, you will contribute to industry project focusing on scaling up our electro-metallurgical battery recycling technology from lab to pilot scale. Your major focus will be developing a process to synthesize precursor materials (pCAM) with extracted metals from spent battery materials.

• Lead pCAM synthesis processes at the R&D and pilot scale by working in collaboration with engineering team.
• Able to establish process design and synthesis rules to obtain precursors with optimal composition, interfacial properties, crystal structure, particle size, morphology, and electrochemical characteristics.

Qualifications

1. Bachelor or Master in Materials science and engineering, Chemical engineering, Material chemistry, or any relevant field.
2. Minimum of 2 yrs experience in MHP, pCAM synthesis (precipitation, crystallization).
3. Prior experience in process development and piloting new technologies is highly preferred.
4. Experience with material characterization techniques like SEM/EDS, ICP, XRD, FTIR.
5. Strong analytical skills and experience in data analysis and interpretation.
6. Highly motivated, detail-oriented, and able to work independently as well as part of a team in a fast-paced academic environment

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

One postdoc position is available at the Surface and Interface Lab in Prof. CHEN WEI’s group, National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for artificial neuromorphic electronics under a project on “Interface Controlled 2D Devices and Solid-State Batteries".

This project aims to advance the field of photon-modulated organic electrochemical transistors (OECTs), with a particular focus on photon-modulated electrochemical doping systems for flexible OECTs. This research is critical for advancing OECT-based circuits in bioelectronics, wearable electronics, and artificial neuromorphic electronics (e.g., optoelectronic synapses). A postdoctoral researcher is sought to contribute to this cutting-edge research, which lies at the intersection of organic semiconductors, materials science, and electrochemistry. The successful candidate will engage in the synthesis of channel-layer materials, the investigation of photoresponsive mechanisms and interfacial electrochemical processes, as well as the development of flexible organic optoelectronic synapses for applications in physiological signal monitoring and related fields.

Qualifications / Discipline:

- The candidates shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish a few papers on top journals.

Skills:
- Excellent English writing and communication skill, team management skill (help PI to lead a small research team with 1-2 master students).
- Experience in synthesizing organic semiconductor materials and characterizing OECTs, complemented by a strong background in structural characterization techniques such as TEM, SEM, AFM, XRD, UV-Vis, and GC-MS.
- Proficiency in surface science techniques, including XPS, UPS, and NAP XPS, is required.
- Practical experience with electrochemical analysis techniques is necessary, along with the ability to proficiently operate a range of electrical testing equipment, including semiconductor parameter analyzers, cyclic voltammetry devices, and probe stations.
- Proficiency in EPR spectroscopy, with a focus on analyzing organic radicals involved in both electrochemical and photochemical processes. Additionally, experience in studying ions and their behavior in these reactions is required.
- A strong background in computational chemistry, including hands-on experience with density functional theory (DFT) calculations, and the capability to independently design and perform related tasks.

Experience:
- Proficiency in the fabrication processes of organic electrochemical transistors (OECTs) is essential, along with a comprehensive understanding of solid-state electrolytes, such as ionic liquid gels and hydrogels.
- Candidates should also have in-depth knowledge of organic radicals and their behavior in electrochemical environments, as well as extensive research experience in charge transfer mechanisms between organic molecules, with a focus on their roles in electrochemical and optoelectronic systems.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Fellow to contribute to cutting-edge research in the field of phage biology, focusing on bacteria from the human microbiome under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). The candidate will lead experimental phage projects, design and execute research strategies, and play a pivotal role in advancing the understanding of bacteriophage dynamics in human and environmental microbiomes.

Key Responsibilities:

• Lead research projects focusing on phages targeting bacteria within the human microbiome.
• Develop, implement, and manage experimental plans under the guidance of the Principal Investigator.
• Conduct molecular microbiology experiments, analyze data, and troubleshoot experimental issues.
• Prepare progress reports, present findings in lab meetings, and contribute to research discussions.
• Write, edit, and submit high-quality manuscripts for peer-reviewed publication.

Qualifications

Education: Ph.D. in Molecular Microbiology, Microbial Ecology, or a closely related field, with a strong emphasis on phage research.

Technical Expertise:

• Hands-on experience in phage research, including phenotypic analysis, sequencing, and genomic studies.
• Proficiency in molecular microbiology techniques, such as DNA/RNA extraction, PCR, cloning, and bacterial culture.

Research Skills:

• Familiarity with experimental evolution studies and genomic taxonomy.
• Experience with bioinformatics tools for sequencing data analysis is an advantage.

Professional Attributes:

• Highly organized, detail-oriented, and capable of managing multiple projects.
• Demonstrates independent judgment, strong problem-solving skills, and the ability to deliver quality work within tight deadlines.
• Excellent teamwork and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary research environment.

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 a research fellow for the project on ultraprecision fabrication of functional components with additive manufacturing and micro-scale surface treatment. The candidate is required to conduct design and manufacture of the bespoke fixtures and tooling for post-processing of the 3D-printed geometries to meet the industrial requirements. He/she will also be responsible for reporting and coordinating with our stakeholders and writing technical papers.

Qualifications

Interested applicants are required to possess a PhD degree. He/she should have a good understanding in

1. Ultraprecision machining technology with excellent hands-on experience;
2. A solid background of micro-/nano-scale material removal processes and mechanisms with a good track record of publications;
3. Experienced in metal additive manufacturing and its post-processing methods; and
4. Mechanical and non-mechanical surface treatment and finishing techniques.

Contract Period:

• 2 Jan 2025 to 31 Dec 2025 (12 Months) + 1 Year Optional renewal by school.

Deployment:

• Mondays to Fridays: 8.30am to 2:00pm, inclusive of 0.5hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of studying the roles of RNA modifications in human immunue diseases. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

• B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.
• Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

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

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

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.

Research Fellow

We are seeking to recruit a Postdoctoral Fellow (Research Fellow). A person with background in molecular biology, cell culture, imaging and data analysis (including modelling and python programming) and has theoretical background on actin are encouraged to apply.

The MBI and NUS provide state-of-the-art facilities dedicated to microfluidics, high-resolution imaging, and cell culture that will support the fellow in training, setup, and execution of the project, and the successful candidate will have the opportunity to work closely with talented and motivated research staff, interdisciplinary PIs, and clinician scientists.

Qualifications

1. PhD in molecular cell biology or relevant biomedical disciplines. Candidates in the process of completing their PhDs in the relevant disciplines may also apply.
2. Competence in molecular biology, biochemistry, cell culture, and confocal microscopy.
3. Experiece in image analysis, photomanipulation and bioinformatics are highly desired.
4. Excellent communication and organizational skills
5. 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.

Job Description

We have openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide supervision and guidance to junior members of the team.

You will be part of a well-funded initiative to create quantum networks of superconducting circuits mediated by telecom photons. Your job could include the following subjects:

• Leading the design and fabrication of superconducting qubits that resist to moderate magnetic fields
• Spearheading the development and fabrication of chips that combine superconducting circuits and integrated photonics
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits
• Measuring quantum correlations between microwave photons at cryogenic temperature and telecom photons at room temperature

You will also work closely with the Principal Investigator to develop future experimental goals and shape the general research direction of the group. There will also be ample opportunity to explore your own ideas and participate in grant-writing processes. We aim to provide you a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step!

ABOUT THE GROUP

Qove Laboratory is led by Assistant Professor Steven Touzard and located at the National University of Singapore. The lab is funded by the prestigious NRF Fellowship. Our group works on a large range of quantum technologies, with currently an emphasis on remotely entangling superconducting qubits with telecom photons to form long-range quantum networks.

To know more, go to https://qovelab.com

Qualifications

Postdoc applicants should have proven research experience and have a strong interest in quantum technologies. Furthermore, a PhD in Experimental Physics or Engineering is required, as well as knowledge on quantum optics measurement, optical fiber equipment, as well as cryogenic equipment. Ideally you received your PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments.

Primary Responsibility

•Defining requirements for exercise and health-tech projects.

•Assist in Project Management.

•Developing exercises for the elderly consumers.

•Developing health-tech product for elderly consumers.

•Perform data analytics for efficacy of intervention methods.

Secondary Responsibility

•Assist in designing and collaboration with sports science researchers.

•Assist in designing and collaboration with health-tech researchers.

Requirement

•Sports Science degree of diploma.

•Familiar with running projects and exercise programs. Preferably for elderly subjects.

•Must have interest in a total system development.

•Problem solving skillset is a must.

Benefits

•Work in a dynamic pace and product rich environment.

•Able to work with and experience best-of-breed software design and implement experts.

•Abundance of deep-tech learning experience.

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 position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on theories and applications of learning-based control. The project will investigate and develop both deep reinforcement learning algorithms and conventional robust adaptive control methods, to develop safety-critical learning-based control algorithms that leverage the advantages of both model-based and model-free methods. In particular, the developed algorithms will be demonstrated through robust control of drones.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates will be responsible for conducting theoretical research and algorithm development. The candidates are expected to help the PI supervise junior PhD students as well.

The candidates should have a Ph.D. degree from a reputable university, with expertise in robust adaptive control, reinforcement learning theory, collision-avoidance trajectory optimization, etc.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences are required.

Qualifications

• Possess a Ph.D. Degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have substantial research experiences in robust adaptive control, reinforcement learning, learning-based control, model predictive control, etc.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
• Strong publication records in leading journals and conferences are highly valued
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
• Activity performed in world-class research environments is highly valued.

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 position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• 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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.