The Singapore Centre for 3D Printing (SC3DP) is a research centre conducting fundamental and applied research in all aspects related to additive manufacturing. Our vision is to be the world leader in 3D Printing and a wellspring of knowledge, delivering state of the art and innovative solutions to the industry. SC3DP is at the forefront of developing advanced technologies and high-impact research in areas such biomedical, construction, aerospace, marine and offshore. It is one of the very few research centres globally with multi-sector 3D printing expertise. SC3DP’s research achievements, high-level industry collaboration, comprehensive facilities and resources have positioned it as a leading hub for 3D printing research and innovation globally.

We are seeking a Research Fellow / Postdoctoral Researcher to join an 18-month NTU–industry project on AM-enabled optimisation of drag-reduction devices for maritime vessels. The successful candidate will design and prototype test articles, conduct wind-tunnel-based experimental fluid mechanics studies, support CFD-driven design refinement, and analyse boundary-layer and drag-reduction performance data. The role involves close collaboration with academic and industry partners and contribution to technical reporting, technology translation and implementation-ready design guidelines.

Responsibilities:

• Plan, design and execute experimental investigation of boundary-layer behaviour, near-wall flow structures and drag-reduction performance on solid models.

• Set up, operate and optimise wind tunnel experiments and associated diagnostics, including force/pressure measurements, flow visualisation and other near-wall flow measurement techniques as appropriate.

• Develop CAD models for energy-saving device (ESD) geometries, experimental fixtures and supporting apparatus.

• Coordinate and support additive manufacturing-based prototyping of ESD concepts and test articles, including dimensional and surface-quality checks.

• Conduct CFD studies using commercial solvers to screen design variants, interpret flow mechanisms and guide experimental iterations.

• Develop scripts and workflows for experiment automation, data acquisition, post-processing and quantitative analysis using Python, MATLAB and/or LabVIEW.

• Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines for vessel-specific optimisation.

• Prepare technical reports, presentations, technical disclosures/IP inputs and other project documentation for internal, academic and industry stakeholders.

• Work closely with the PI and industry partners to support milestone delivery, downstream validation and translational activities.

• Contribute to laboratory safety, equipment upkeep, documentation standards and mentoring of junior researchers and/or graduate students.

Requirements:

• PhD in Mechanical Engineering, Aerospace Engineering or related field, with postdoctoral or equivalent research experience in experimental fluid mechanics or aerodynamics.

• Strong hands-on expertise in wind tunnel testing and flow diagnostics such as PIV, high-speed imaging, schlieren and pressure measurement.

• Experience with CFD using commercial solvers, Python/MATLAB-based data analysis, experiment automation, and CAD modelling.

• Demonstrated publication track record, strong communication skills, and the ability to work independently while managing multiple research tasks.

• Experience in wall-bounded flows, boundary layers, drag reduction, and mentoring junior researchers will be highly advantageous.

We regret to inform 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/Research-Associate-%28Machine-Learning-in-Chemical-Engineering%29%2C-ChBE/32386-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•     The Research Associate will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 
•    The Research Associate  will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    A Bachelor or Master degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

The research associate will focus on Vision-Language Model based situation awareness and decision-making for autonomous vehicles

Key Responsibilities:

• The research associate will be leading the development of Vision-Language Model based situation awareness and decision-making models for autonomous vehicles.

• The work will involve model training, test rig set-up, and experimental validation

Job Requirements:

• The candidate must at least have a Master Degree in AI, Robotics, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, etc.

• Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation.

• Candidates having relevant research or working experience in LLM/VLM and AI decision-making algorithms for end-to-end autonomous driving will be preferred.

• Good communications skills and the ability to work independently and facilitate projects with minimal supervision.

• Able to contribute to Journal/Conference papers with good presentation skills.

• Able to plan and organize well and adhere to deadlines

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

RRIS (Rehabilitation Research Institute of Singapore)

We bring together expertise from three key areas: academic research through NTU, science and technology through A*STAR, and healthcare through NHG. This integrated approach allows us to leverage diverse strengths to develop innovative solutions for clinical challenges.

The Research Associate will bridge technical and commercial requirements to develop viable solutions for a novel rehabilitation robot. This role involves collaborating with stakeholders to refine and implement cutting-edge haptic technologies integrated into robotic solutions helping translate research concepts into viable and impactful solutions.

Key Responsibilities

• Assist in planning, tracking, and executing project activities.

• Establish effective communication to ensure seamless execution.

• Conduct market research to identify industry trends and stakeholder needs.

• Gather and analyse feedback to refine project objectives and deliverables.

• Serve as a liaison between internal teams and external partners.

• Prepare reports, presentations, and project documentation.

• Ensure adherence to regulatory and compliance requirements.

• Support process improvement initiatives.

• Assist in organising demonstrations, seminars, and engagement activities.

Job Requirements

• Possess a Master’s degree in Management or Engineering

• Experience interacting with external stakeholders for collaboration development.

• Industrial experience highly desirable.

• Experience or exposure to medical or rehabilitation technologies.

• Good interpersonal skills.

• Good communication and writing skills.

• Strong sense of responsibility and ownership.

We regret to inform 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 Senior Research Fellow to develop a CFD engine and building energy models. The role will focus on participating in the development and implementation strategy of a cloud AI-based framework to perform business valuation.

Key Responsibilities:

• Develop new CFD solutions in partnership with our academic and technology partners;

• Identification of new research and technology development priorities;

• Providing CFD technical leadership to new research programs;

• Work closely with other team members to develop OpenFOAM methods, processes and workflows;

• Develop and implement mesh, solver and post-processing methodologies to improve the efficiency and effectiveness of our CFD tools and workflow;

• Support and optimise CFD tools including monitoring and resolving issues;

• Ensure that CFD simulations and analysis carried out within the department are aligned with the capability of the commercial tools;

• Conduct research into and analysis the energy usage of different scenarios;

• Write reports and mapping the total energy usage;

• Thinking of ideas for actionable options;

• Respond to questions from team members;

• Publish papers and support documentation.

Job Requirements:

• PhD qualification degree in Mechanical Engineering, Aerospace Engineering, or Applied Physics or related field

• At least 3 years of relevant experiences in CFD development.

• Familiarity with CFD solvers (Fluent, 6Sigma, STAR-CCM+, etc.)

• Good written and oral communication skills

• Proficiency in OpenFOAM development and/or in C++ language development in a CFD environment;

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Experience with energy modelling or coding platforms including SketchUp, EnergyPlus, OpenStudio, TRNSYS, and Python;

• Proven ability to work at a fast pace and to react rapidly to new information;

• F1 experience would be advantageous but not essential;

• Experience of Python, C++, and Unix shell scripting would be advantageous

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

Key Responsibilities:

• Review the literature related to UAV communications and networking

• Develop new AI algorithms for UAV networking and management

• Implement and test the algorithms under realistic scenarios

• Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks

• Publish the results in top-tier journals and conferences

Job Requirements:

• Bachelor’s degree in electrical or computer engineering or computer science

• Good publication record with papers accepted/published in top-tier journals and conferences

• Good research experience in AI and machine learning as well as wireless networking

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a motivated Research Scientist to conduct innovative and impactful research in advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and unstructured data to enhance intelligent decision-making and real-world application performance.

Job Description:

• Conduct high-quality research in recommendation systems, graph neural networks, and multimodal machine learning.

• Design and develop novel AI models for sequential recommendation, cross-domain learning, self-supervised learning, and knowledge distillation.

• Analyze large-scale structured and unstructured data, including user behavior, graph data, and multimodal content such as text and images.

Job Requirements:

• PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• Strong research background in recommendation systems, graph neural networks, and multimodal representation learning.

• Solid programming and model development skills in machine learning and deep learning frameworks.

• Ability to work independently and collaboratively in academic and interdisciplinary research environments.

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a motivated Research Scientist to conduct innovative research and develop intelligent algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under dynamic workloads, while bridging theoretical research with practical implementation through close collaboration with cross-functional teams.

Job Description:

• Conduct cutting-edge research in cloud computing, edge computing, service computing, and distributed storage systems.

• Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and cloud-edge collaborative data management.

• Apply advanced machine learning and reinforcement learning methods to optimize storage and service systems under dynamic workloads.

• Collaborate with researchers and project teams to translate theoretical advances into practical, scalable computing systems.

Job Requirements:

• PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing, or a related field.

• Strong research background in service computing, cloud computing, edge computing, and distributed storage systems.

• Solid knowledge of optimization algorithms, system design, and intelligent resource management methods.

• Ability to work independently and effectively in collaborative research environments.

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

Responsibilities

• Prepare, facilitate, and conduct classroom training sessions
• Manage training administration duties and maintain accurate training records for compliance and reporting
• Provide meaningful and constructive feedback during evaluations to support continuous improvement
• Apply strong time management skills to work independently and handle ad hoc tasks reliably
• Use proficient MS Office skills to support training preparation and documentation
• Contribute positively to team culture and collaborate on projects delegated by the Managing Director
• Utilize marketing skills to support training promotion and engagement efforts

Preferred competencies and qualifications

• Experience working with training centres is preferred
• Administrative background is advantageous
• Excellent communication and interpersonal skills to engage diverse audiences
• Excellent team player and can work independently with minimum supervision
• Proficient in MS Office applications and social platforms
• Undertake any other ad-hoc duties as and when required

This is an exciting opportunity to join an early-stage biotech venture working at the forefront of yeast fermentation. As a Research Intern, you will support ongoing R&D efforts in strain engineering and bioprocess development to enable the production of innovative lipid ingredients via precision fermentation.

You will work closely with the CTO, Senior Strain Engineer, and broader technical team, gaining hands-on experience in genetic engineering, microbial cultivation, and experimental design in a fast-paced startup environment.

Job Description:

• Support routine laboratory operations, including keeping well-organized experimental records and preparation and maintenance of strains, reagents, and consumables
• Execute day-to-day experimentation, including molecular biology workflows and strain screening
• Assist in the design, construction, and testing of engineered microbial (yeast) strains
• Support lipid and fatty acid characterization through analytical assays
• Contribute to ongoing strain engineering and fermentation optimization projects

Ideal Qualifications:

• Currently pursuing or recently completed a Bachelor’s degree in Bioengineering, Chemical Engineering, Microbiology, Molecular Biology, or a related field
• Basic laboratory experience in molecular biology, microbiology, or biochemical engineering
• Familiarity with yeast systems or microbial fermentation is a plus
• Exposure to genetic engineering techniques (e.g.,cloning, transformation, CRISPR) is advantageous
• Singaporean and Singapore PR applicants only

Ideal Skills and Attributes:

• Strong interest in strain engineering, synthetic biology, and industrial biotechnology
• Good foundational knowledge in biochemistry and microbial metabolism
• Detail-oriented with good record-keeping and organizational skills
• Eagerness to learn, take initiative, and work in a fast-paced research environment
• Strong communication and teamwork skills

Location: The position is based out of Singapore. Singaporean and Singapore PR applicants only.

Application: Please send your resume and a cover letter outlining why you’d be interested in this position to shen@terraoleo.com with email subject "Research Intern 2026 - [Your Name]." Compensation will be commensurate with similar research internship roles.

About Terra Oleo:

Terra Oleo is a Singapore-based biotech venture harnessing microbial fermentation to develop sustainable alternatives to conventionally palm oil–derived ingredients and cocoa butter, with the goal of decarbonizing and advancing industries such as personal care, home care, food, and pharmaceuticals.

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.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
• Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance.
• Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability.
• Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information.
• Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records.
• Develop a cloud-based verification platform for digital data collection and real-time analytics.
• Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel.
• Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members.
• Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems.
• Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders.
• Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent.
• Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development).
• Experience in handling real-world datasets and model development/deployment workflows.
• Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis.
• Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage.
• Strong background in structural engineering, structural mechanics, or steel structures.
• Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable.
• Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable.
• Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams.
• Strong analytical and conceptual abilities; able to work both in a team and independently.
• Able to work under pressure and meet deadlines.

Key Competencies

• Proficient in Python or other equivalent programming languages.
• Strong foundation in data analytics and data-driven modelling.
• Able to build and maintain strong working relationships with people within and external to the university.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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.

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:

• Conduct programming and software development for graph data management.

• Design and implement machine learning models for optimizing graph data management.

• Conduct experiments and evaluations of the designed algorithms and systems.

• Help with research presentation works such as high-quality paper writing.

Job Requirements:

• Preferably Master in computer engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• 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.

• High-level expertise in the required experiment or modelling 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.

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.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local production of its fiber (vegetables, mushrooms etc.) by 2035. The candidate would be working in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The successful candidate will work in Work Package 3.3: Urban Demo Lab. In this role, you help translate research results from across the program into demonstrators and settings for collaborative exploration that allow key stakeholders to engage with emerging food production technologies – and each other. The Urban Demo Lab serves as a platform where researchers, industry partners, and other stakeholders explore applications, provide critical design feedback and identify opportunities for further innovation: it serves as an attractor for future projects and strategic alliances that maximize the urban impact of ongoing research and development.

As an innovation facilitator, your work provides the active interface that is needed between research, technology translation, and stakeholder engagement. By stimulating dialogue and collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications.

Key Responsibilities:

• Collaborate with research teams to identify key elements of research suitable for demonstration.

• Facilitate workshops, meetings, and stakeholder sessions to explore research outcomes, gather feedback, and identify innovation opportunities.

• Translate scientific insights into demonstrators, prototypes, or other formats such as an overall performance dashboard that communicate application potential to diverse audiences.

• Contribute to identifying and engaging potential partners or funders interested in further development of promising ideas.

Job Requirements:

• Completed PhD in a relevant field (e.g., food systems, food production, sustainability transitions or related fields).

• Systems thinker with an interest in innovation in food production and controlled environment agriculture

• Experience translating scientific research into practical applications, demonstrators or stakeholder-facing outputs.

• Excellent communication skills and ability to work across disciplinary and organizational boundaries.

• Experience facilitating interdisciplinary collaboration, workshops, or stakeholder engagement is an advantage.

We seek 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 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).

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

You will be part of a dynamic research team working on topics relevant to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a project on sustainable hydronic cooling system

Key Responsibilities:

• You will need to actively support SBE projects at ERI@N in terms of project R&D, technology evaluation, project coordination, and stakeholder interfacing.

• The role will include the following:

  • Assist in coordination with project partners, industry and other external stakeholders.

  • Lead technical deployment of testbeds and instrumentation for testing and validation of hydronic cooling/green building solutions e.g. equipment or hardware/software systems.

  • Conduct research, analysis and performance assessment of project testbeds.

  • Lead in preparation and submission of project reports/test reports.

  • Work closely with industry partners to realize synergies in testbeds, site implementation and demonstration.

  • Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners, including delivering presentations and guiding discussions or workshops as necessary.

  • Assist in authoring of technical publications for completed or ongoing research projects.

• You will be an integral part of the SBE team and will need to participate in project discussions especially related to project implementation details.

• Familiarity with district-level cooling systems, green building technology, HVAC systems, sustainable building design, and energy measurement and verification, for built environment applications is preferred.

• Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred

Job Requirements:

• Masters degree in engineering (e.g. Mechanical, Clean/Renewable Energy or Building related) or sustainable buildings design.

• Experience in sustainable design/analysis for the built environment, Green Mark or LEED projects, M&E construction and development (min 2yrs preferred).

• Proficient in MS Office applications, PLC programming, IoT/cloud development, Modelica/Dymola or energy modelling software.

• Should be a very hands-on person, willing to take on non-routine tasks.

• Possess good communication (written and verbal) skills.

• Able to manage multiple stakeholders and work under tight timelines.

• Positive attitude, ability to work independently as well as in a team

• Prior experience in sustainability standards and green building accreditations would be advantageous.

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