Total 2,164 Others level Science / R&D / Research job vacancies

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

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

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

We seek a Senior Research Fellow to advance low-temperature Cu/dielectric hybrid bonding for fine-pitch, high-density interconnects by developing and validating a new flow with reliable dielectric sealing under ≤200 °C. The role integrates materials selection, wafer-level process development, and reliability demonstration to deliver a manufacturable 3D-integration solution that supports NTU’s leadership in industry-relevant advanced packaging research.

Key Responsibilities:

• Develop and run a Cu–Cu hybrid bonding flow for fine-pitch 3D integration.

• Optimize process windows (pressure/temperature/anneal/surface activation) to minimize contact resistance and voids; maintain cleanroom/tool best practices.

• Characterize materials and interfaces using optical/profilometry, SEM/TEM, surface chemistry, and electrical IV; translate data into process improvements.

• Validate reliability and scalability via thermal cycling/HTS/electrical stress on test vehicles; build prototype stacks (e.g., interposer/test-chip) to evidence manufacturability.

• Report and collaborate: produce clear technical reports/presentations, coordinate with partners, and maintain rigorous documentation, version control, and safety compliance.

Job Requirements:

• PhD in Materials/ Microelectronics/ EEE/ or related.

• Hands-on semiconductor process development in cleanroom (Cu interconnect/wafer or hybrid bonding; litho/etch/CMP/plasma/anneal).

• Characterization: optical/profilometry, SEM/TEM, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus).

• Strong documentation, safety discipline, and clear communication in English.

• Process integration & optimization; root-cause/failure analysis.

• Reliability mindset (design/interpret thermal & electrical stress tests).

• Collaboration with tool vendors/industry partners; concise reporting; ownership.

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

We are looking for a Research Assistant to support an AI-enabled battery recycling research project that advances sustainable energy and circular economy goals. The role will focus on developing data-driven models and decision tools to improve the efficiency, yield, and cost effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling operations can be more reliable, scalable, and environmentally responsible.

Key Responsibilities:

• Conduct literature review and problem scoping on battery recycling, including process routes such as hydrometallurgy, pyrometallurgy, and direct recycling.

• Build datasets from experiments, sensors, and public sources, and then perform data cleaning, labeling, and feature engineering for battery recycling tasks.

• Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions.

• Develop optimization and control methods for recycling resource management, such as reagent usage, temperature profiles, scheduling, and throughput, under safety and quality constraints.

• Support experimental coordination and analysis, including interpretation of characterization and assay results (as applicable), and then translate findings into model inputs and evaluation.

• Prepare technical reports, documentation, and research manuscripts, and also contribute to project presentations and meeting updates.

• Collaborate with the PI and team members, and coordinate with external partners when needed, to ensure milestones and deliverables are met.

Job Requirements:

• Bachelor qualification degree in Computer Science, Electrical Engineering, or related disciplines

• Strong research experience with a good track record of publications.

• Familiarity with machine learning and optimization, such as supervised learning, reinforcement learning, or constrained optimization.

• Good written and oral communication skills for preparing technical reports, presentations, and draft manuscripts.

• Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation.

• Competent in soft skills, such as problem scoping and analytical skills for experimental results interpretation.

• Interpersonal skill, such as good teamwork and collaboration skills to work closely with the PI, team members, and external partners.

• Entry level candidates are welcome to apply.

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

We are seeking a talented and experienced Robotics Engineer to join our team. As a Robotics Engineer, you will be responsible for developing and implementing innovative robotic solutions, specializing in Embodied AI for robotics, with a focus on enabling safe and anticipatory human-robot collaboration (HRC). You will collaborate with cross-functional teams, research new technologies, and ensure optimal performance of robotic systems. A strong understanding of robotics principles, programming skills, and a passion for creating cutting-edge solutions are essential. Experience with robot vision and/or ROS2 (Robot Operating System), and working in semicon equipment sector is an advantage.

Roles & Responsibilities

• Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration.
• Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction.
• Integrate perception, learning, and control modules into robotic systems for real-world testing and validation.
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Job Requirements

• Bachelor degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong foundation in robotics, AI, or control systems.
• Experience or knowledge in one or more of the following areas: 5 years of experience
• Embodied AI and robot learning
• Safety-aware motion planning and control
• Proximity sensing and dynamic obstacle avoidance
• Multimodal perception
• Proficiency in programming languages such as Python, C++, or Matlab
• Experience in software development, including version control and debugging techniques
• Experience in industrial or manufacturing robotics environments.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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.

Head of Deoartment, Science (Primary school level)

Working days & hours :
Centre days: 44 hours per week ; 4 weekday (1030AM-730PM / 1230PM - 930PM) + 1 weekend (830AM - 630PM)
HQ days (Meeting): Weekdays 930AM to 630PM 
Working location: Toa Payoh, travel to Woodleigh Mall to support the launch of new classes (including at least one new class). 
Salary: $6000 - $7500
Report to: Managing Director 

Role Overview: We are hiring a Head of Science (Primary) to lead and strengthen a structured P3‒P6 Science programme.

This is a hands-on leadership role combining curriculum ownership, teaching, and teacher development. The role operates within an existing programme framework and is responsible for refining, improving, and scaling it to ensure consistent teaching quality and strong student outcomes across centres.

This role is critical in ensuring the programme delivers reliable results beyond individual teachers, with clear ownership over curriculum standards, teaching consistency, and overall programme effectiveness.

We’re looking for someone who can take a structured primary science programme, ensure consistent quality, and successfully roll it out across multiple centres.

Job Responsibilities: 

• Oversee and refine the P3‒P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4‒6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

Requirement:

• Degree in Science or related field (MOE/NIE-trained preferred
• Minimum 5‒8 years of Primary Science teaching experience.
• Proven track record of improving student outcomes. 
• Experience in curriculum development, mentoring, or academic leadership is advantageous. 
• Comfortable with weekend work and centre-based environment

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

We are seeking a Research Associate to support research and development in grid-forming converters, power electronics, and advanced energy systems. The role involves designing, modelling, controlling, and testing grid-forming power electronic converters for applications such as renewable energy integration, energy storage, microgrids, and smart grid systems.

The Research Associate will contribute to research proposal development, project execution, and dissemination of outcomes through publications and technical reports.

Key Responsibilities:

• Conduct research and development in grid-forming power electronics converters, control, and energy systems.

• Design, simulate, and implement power electronic converter prototypes and associated control algorithms.

• Perform experimental testing, data analysis, and performance evaluation of grid-forming converter systems.

• Develop simulation models using MATLAB/Simulink, PLECS, PSCAD, or equivalent tools.

• Support design, integration, and testing of laboratory prototypes and hardware setups.

• Contribute to research proposal preparation, including literature review, technical writing, and project idea development.

• Assist in technical reporting, documentation, and publication in journals and conferences.

• Collaborate with faculty, graduate students, and industry partners.

• Support supervision of graduate students or research assistants, when required.

• Ensure compliance with laboratory safety practices and equipment maintenance.

Job Requirements:

Qualifications

• Master’s degree in Electrical Engineering, Power Electronics, or a related field.

• Strong background in power electronics, converter design, and control systems.

• Experience with simulation tools such as MATLAB/Simulink, PLECS, PSCAD, or equivalent.

• Experience in hardware prototyping, testing, and laboratory experimentation is preferred.

• Prior experience in research proposal writing or technical grant preparation is an advantage.

Competencies

• Strong analytical and problem-solving skills.

• Ability to work independently and collaboratively in a research environment.

• Good technical writing and communication skills.

• Ability to manage multiple research tasks and deadlines.

• Strong interest in renewable energy systems, power electronics, and sustainable energy technologies.

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

1) 100% hands on , to perform cleaning duties ( including plate collecting, dishwashing, area cleaning and toilet cleaning of outlets )

2) Ability to operate cleaning equipment (i.e, Scrubber , High pressure water jet, carpet shampoo cleaning )

3) Ensure project operations run smoothly

4) Train cleaners whenever required

5) Scheduling of staff working days , able to cover off days and undertake split shift working hours ( incuding night shift )

6) Able to travel to different outlets as and when needed

7) Responsible for inspecting job site for proper cleaning and inventory cleaning supplies

8) To attend to client's complaints promptly

9) To resovle problems efficiently without unnecessary delay

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link:  https://careers.nus.edu.sg/job/Research-Fellow-%28Power-Electronics%29/32336-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Manage the research project with Principal Investigator (PI) and the research team members to study, evaluate, propose and innovate on the following:
(1) High-switching frequency high temperature operation of Wide Band Gap (WBG) SiC Semiconductor devices and applications. 
(2) Establish foundational work in the modelling, design, performance evaluation, and benchmarking of SiC power devices and power electronics.
(3) Characterization of new semiconductor devices 
(4) Electrical Circuit Modelling of SiC devices at high switching frequency and high temperature.
(5) Thermal modelling and advanced cooling at high temperature of SiC devices.
(6) Simulation model of new SiC devices
(7) Loss modelling and analysis
(8) EMI filter design
(9) Gate driver design (high frequency and WBG parasitic)
(10) Benchmarking for specific applications and demonstrate features of cost, density, and weight
Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
•    Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
•    Coordinate procurement and liaison with vendors/suppliers.
•    Mentor students involved in the research project
•    For those hired at senior levels, management responsibilities may be included

Qualifications

•    Have a PhD degree in Electrical Engineering or equivalent from a recognized University with major in Power Engineering
•    Relevant experience in power electronics, high frequency gate driver circuit design, EMI filter, loss analysis, switching strategies, and closed loop control system
•    Strong knowledge of power electronics, drives, and WBG semiconductor devices is highly preferred. Experience with hardware testing and real-time simulation will be advantageous. 
•    Knowledge and hands-on experience in Wide band gap semiconductors, device parasitic, device simulation, gare driver design for WBG devices, EMI filter design, high-switching frequency operation, thermal management, high power prototype design and testing, etc. are preferred. 
•    Knowledge of software such as PSIM, PLECS and MATLAB/Simulink
•    Prior knowledge and experience in digital twins/HIL will be a bonus
•    Prior knowledge and experience of AI/ML and automation in power electronics and power system will be useful
•    Experienced and committed to participating in project meetings.
•    Self-motivated team player and good project management skills.
•    Excellent communication and interpersonal skills.
•    Open to Fixed Term Contract

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-Scientific-Manager-%28NIRBA-Research-Portfolio%29/32324-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National Initiative for RNA Biology and its Applications (NIRBA) is a pioneering national program dedicated to advancing RNA biology research. Established with support from the National Research Foundation (NRF) under the Prime Minister’s Office, Singapore, we unite experts across multiple disciplines to address critical challenges in RNA science and its applications. 

NIRBA consists of four Innovation Clusters each designed to address a key challenge in RNA biology. In each Cluster, research teams are assembled from across the three NIRBA Partners (NUS, A*STAR and NTU) to address specific scientific questions. These Clusters are supplemented by shorter term Satellite programmes, put in place where a novel knowledge gap or problem arises.

The Senior Scientific Manager (NIRBA Research Portfolio) provides scientific management and programme/ portfolio oversight for NIRBA-funded research. The role ensures that the research portfolio is strategically aligned, scientifically rigorous, and delivering high-impact outcomes.

For more information on NIRBA, visit: https://nirba.sg/

Duties & Responsibilities
Key Personal Responsibilities

• Portfolio Strategy: Manage and shape NIRBA’s research portfolio in alignment with strategic priorities and emerging scientific opportunities.
• Scientific Management: Provide expert guidance on research design, milestones, and deliverables across Clusters and Satellite Labs/ Programmes.
• Research Quality & Impact: Promote excellence, reproducibility, innovation, and translational potential within the research portfolio.
• Reporting & Evaluation: Contribute to scientific reporting for Executive Director, CGT-SC, and other institutional stakeholders
• Collaboration & Integration: Foster cross-project collaboration, data sharing, and alignment with national and international research initiatives.
• Scientific Risk Management: Identify scientific risks and recommend mitigation or course-correction strategies.

Key Team Responsibilities

• Program Management: Monitor progress of Cluster projects, Satellite teams, track performance against KPIs, and support timely delivery of outcomes.
• Funding & Review Processes: Support fund allocations to Clusters and Satellite Labs, competitive grant calls, peer review processes, appropriate fund utilization & outcomes.
• Investigator Engagement: Act as a key scientific liaison with principal investigators and research teams, providing guidance and problem-solving support.

Special Projects

• Undertake special initiatives at the discretion of the ED

Other duties & responsibilities

• Any other duties as assigned by ED

Qualifications

Requirments

• PhD in molecular biology, RNA biology, genetics, biochemistry, genomics, or a closely related field
• Postdoctoral experience strongly preferred
• Supervisory experience
• Experience in grant/ programme management, e.g. budgeting, variation/ virement, progress reporting etc is strongly preferred, ideally from multi-institutional programmatic type grants
• Experience in research management e.g. IRB, MTA, IACUC, GMAC submissions and/ or data governance frameworks etc is preferred
• Excellent writing and reporting ability
• Excellent communication and presentation skills

JOB DESCRIPTION

We are seeking an inspection talent to join our team. He will work on the vision and non-destructive inspection system development. The ideal candidates will work on experiment setup design, using camera to collect data and doing AI result verification.

Responsibilities

• Design and develop vision systems for product verification.
• Perform image quality analysis using AI-based segmentation and classification techniques.
• Set up machine vision inspection systems and validate AI inspection results.
• Analyze and optimize inspection system performance by improving data quality and inspection parameters.
• Troubleshoot and debug sensor, camera, or optical-related issues in inspection systems.

Job Requirements

• Familiarity with computer vision and optical system configurations.
• Hands-on experience with OpenCV or other computer vision software libraries.
• At least 1 year of experience
• Knowledge of machine vision and deep learning techniques.
• Basic understanding of statistics and data analysis.
• Programming experience in C/C++ and Python.
• Strong communication and teamwork skills, with the ability to work independently.
• Detail-oriented, proactive, and flexible in handling tasks and challenges.

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.

JOB DESCRIPTION

We are seeking an inspection talent to join our team. He will work on the vision and non-destructive inspection system development. The ideal candidates will work on experiment setup design, using camera to collect data and doing AI result verification.

Responsibilities

• Design and develop vision systems for product verification.
• Perform image quality analysis using AI-based segmentation and classification techniques.
• Set up machine vision inspection systems and validate AI inspection results.
• Analyze and optimize inspection system performance by improving data quality and inspection parameters.
• Troubleshoot and debug sensor, camera, or optical-related issues in inspection systems.

Job Requirements

• Familiarity with computer vision and optical system configurations.
• Hands-on experience with OpenCV or other computer vision software libraries.
• At least 3 years of experience
• Knowledge of machine vision and deep learning techniques.
• Basic understanding of statistics and data analysis.
• Programming experience in C/C++ and Python.
• Strong communication and teamwork skills, with the ability to work independently.
• Detail-oriented, proactive, and flexible in handling tasks and challenges.

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.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

The School of Electrical and Electronic Engineering (EEE) at NTU offers an exceptional research environment for the proposed project. The research will be conducted at the COEB Center (Center for OptoElectronics and Biophotonics) and the Fiber Technology Center. The COEB Center focuses on advanced research in the development of ultrafast fiber lasers and their practical applications. Where the Fiber Technology Center is part of the Photonics Research Institute. This center boasts cutting-edge facilities for various aspects of fiber design and fabrication, including MOCVD, a fiber drawing tower, and a range of fiber characterization equipment.

We are seeking a highly motivated and skilled Research Fellow to join our team in advancing the frontier of nonlinear optics through the integration of artificial intelligence. The successful candidate will lead projects that combine the development of Physics-Informed Neural Networks (PINNs) with advanced fiber laser experimentation to study and control complex nonlinear dynamics.

Key Responsibilities:

• Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex nonlinear dynamics in optical systems, particularly fiber lasers.

• Design, build, and optimize state-of-the-art fiber laser setups to experimentally investigate nonlinear phenomena such as soliton dynamics, modulation instability, and supercontinuum generation.

• Integrate experimental data with AI models, using machine learning to uncover hidden physics, accelerate simulations, and discover new operational regimes.

• Collaborate with interdisciplinary teams of physicists, engineers, and data scientists within the university and with external partners.

• Analyze, interpret, and present research findings in high-impact scientific journals and at international conferences.

Job Requirements:

• Ph.D. in Electrical Engineering, Physics, Optical Engineering or other related fields.

• Solid Mathematical skills.

• Hands-on experience in designing and building fiber laser cavities for the generation of ultrashort pulses.

• Strong background in nonlinear optics.

• Demonstrated experience in developing and applying AI Learning models, for scientific research.

• A strong publication record is highly desirable.

• The ability to conduct independent research is highly desirable.

• Good written and oral communication skills.

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

The Laboratory of Applied Human Genetics at the National Cancer Centre Singapore is a multidisciplinary laboratory with specific focus on peritoneal and sarcoma malignancies. The direction of our laboratory is to solve real-world clinical problems via sound scientific translation. Since the conception of our laboratory seven years ago, we have established three scientific pillars — Therapeutics, Companion Diagnostics, and the CAPTIVATE (Target Generation) pipeline. We are currently working towards a first-in-human therapeutic developed in-house. To support increasing publication, international collaboration, and external engagement activities, we are looking for a dynamic, meticulous, and responsible Research Technologist / Research Officer to work closely with researchers and clinicians in supporting the visual and graphical communication needs of the laboratory. This role focuses on the development of high-quality visual materials for publications, presentations, and virtual engagements, and does not rely on scientific or laboratory expertise.

Responsibilities:

1. Laboratory Research

a) Develop graphical illustrations, figures, schematics, and visual summaries for scientific publications, presentations, and reports.

b) Work closely with researchers and clinicians to translate scientific concepts into clear, accurate, and publication-ready visual materials.

c) Support preparation of visual materials for conferences, international collaborations, funding-related engagements, and virtual meetings.

d) Ensure visual outputs meet journal, conference, and institutional formatting and quality standards.

2. Venture Development Support

a) Support preparation of visually compelling pitch materials, decks, and graphical content for venture development and funding-related engagements.

b) Work with the research and leadership team to translate scientific and strategic content into clear, concise, and investor-oriented visual narratives.

c) Adapt and refine visual materials to suit different stakeholder groups and engagement contexts.

d) Support the adaptation and visual refinement of pitch materials for effective communication with international venture capital stakeholders.

3. Other Duties

Perform any other ad-hoc job-related duties as assigned.

Job Requirements:

- Recognised Diploma or Bachelor’s Degree, discipline flexible and not limited to biomedical or life sciences.

- Prior relevant working experience in visual design, graphical illustration, scientific communications, or related fields will be an added advantage.

- Proficient in developing publication-quality visual materials, with familiarity in relevant design or illustration tools and strong problem-solving skills.

- Meticulous, organised, analytical, and committed to high quality standards.

- Positive attitude with a keenness to learn.

- Able to work independently and collaboratively in a team setting, with excellent interpersonal and communication skills.

- Ability to exercise ethical judgement and discretion.

- Keen interest in supporting scientific innovation and healthcare advancement through effective visual communication.

We are looking for a committed Maths Teacher (Cambridge A level/Pre-university Foundation) to complement our qualified workforce of educators.

Responsibilities:

You will be responsible for preparing and implementing a full educational teaching plan according to the school’s requirements. It will be fundamental to provide knowledge and instruction to students while also helping them develop their personalities and skills.

Specifically:

• Prepare and conduct lessons according to the course syllabus and scheme of work.

• Deliver lessons and provide the necessary supervision to students as a mentor or form teacher.

• Provide necessary supervision to the students, manage the classroom, and address discipline issues.

• Prepare and mark examination papers and assignments.

• Monitor the performance and progress of each student and provide academic counselling.

• Teach students according to their aptitude (Differentiated Teaching)

• Perform Intervention duties: Identify and discuss students’ academic and pastoral needs with parents/academic team/student relations to find a way to help students.

• Attend team meetings and staff development workshops.

• Support scheduled school holistic activities when directed to do so.

• Oversee and advise the assigned non-academic / Co-curricular activities.

• Enable students to attain required proficiency for university admission.

• Collaborate with the team in curriculum development, appraisal system, and project management.

• Perform any other tasks as may be assigned on an ad-hoc basis as needed.

• Achieve assigned key performance indicator target.

THE IDEAL CANDIDATE:

You must be passionate about the job with an ability to reach out to students and create a relationship of mutual trust. You must know how to organize a class and make learning an easy and meaningful process. Your goal is to help cultivate the students’ interest in education and be their dedicated ally in the entire process of learning and development.

SKILL AND EXPERIENCE:

• Masters qualifications from a recognised university

• Knowledge of Further Mathematics is preferred

• Professional Teacher qualifications are preferred

• Demonstrate ability to teach learners from different proficiency levels across the four components (speaking, reading, listening, and writing)

• Ability to inspire students' interest in learning and create a strong affinity with the students.

• Excellent written and verbal communication and interpersonal skills

• Self-motivated, logical thinker, team player

Digital Supply Chain Group of the Digital Manufacturing Division at the ARTC is searching for a Senior Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI

Responsibilities:

1.      Deliver tangible outcomes in technical projects: e.g:

-          Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems.

-          Implement state-of-the-art approaches and bring them to industry-readiness status.

2.      Lead technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.  

3.      Continuously develop personal technical skillsets to ensure technical relevance.

4.      Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.

5.      Abide by software development processes and procedures to ensure high quality of deliverables.

6.      Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

·       Good interpersonal and communication (verbal & written) skills.

·       Doctoral degree in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.

·       Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.

·       Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).  

·       Prior experience with supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
·       More than 5 years of experience

·       A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

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. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Visiting-Research-Fellow-%28National-Centre-for-Engineering-Biology%29/32344-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a talented Visiting Research Fellow to join the National Centre for Engineering Biology, Singapore (NCEB), at the National University of Singapore. NCEB aims to advance engineering biology by developing microbial cells that enable biomanufacturing.

The Visiting Research Fellow (RF) will work closely with the Principal Investigator and research team to develop robust microbial cell platforms for biomanufacturing. The RF will design and implement strain engineering strategies, optimise metabolic pathways and cultivation conditions, and generate high-quality experimental data.

Key Responsibilities: 
1. Design, build, and characterise engineered microbial strains for production of target molecules (e.g., enzymes, chemicals, or biomaterials).
2. Develop and optimise genetic constructs and genome engineering workflows (e.g., CRISPR, recombineering, plasmid design, promoter/RBS tuning).
3. Perform metabolic pathway design and optimisation using rational design and/or high-throughput approaches; analyse data to identify bottlenecks and improvement opportunities.
4. Develop and apply analytical assays (e.g., HPLC/GC, LC-MS, plate-based assays) to quantify key metabolites.
5. Document and communicate results through lab records, reports, and presentations; contribute to manuscripts, protocols, and (where applicable) invention disclosures.

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to: Ms Suhana Sulaiman, at suhana_s@nus.edu.sg 

Formal application: Please submit your application, indicating job reference number and current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees). Only shortlisted candidates will be notified.

Qualifications

The ideal candidate will:
1. Hold a PhD in Synthetic Biology, Microbiology, Biotechnology, Bioengineering, Chemical Engineering, or a related field.
2. Demonstrated experience in microbial strain engineering and molecular biology (e.g., cloning, genome editing, strain construction and verification).
3. Strong experimental design and data analysis skills, with the ability to interpret results and troubleshoot across the build-test-learn cycle.

Highly desirable:
1. Hands-on experience with fermentation/bioreactors and bioprocess development (media optimisation, feeding strategies, scale-down models).
2. Experience with omics/automation tools (e.g., RNA-seq, proteomics, metabolomics, high-throughput screening).