Total 10,181 job vacancies in Singapore

• Working hour: 8am – 5pm (Mon– Fri)

• Company located at Tuas

• Company transport provided at Jurong Point

• Well Established FMCG Company

• Variable Bonus +Excellent Welfare & Benefits

Job Scope

• Prepare report and do administration duties
• Match vendor invoice
• Issue payment voucher to vendor and vending customers
• Reimburse petty cash
• Key receipts
• Cash counting
• Inter-cobilling
• Vending commission checking
• Issue CN to Vending customer
• Monthly journal
• Answering phone for customer enquiry
• Other ad-hoc duties assigned by superior

Requirement

• GCEO Level & above
• 1 - 3years of relevant experience in accounting / office administration role

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

KHOOSOT MEI (R21102604)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Position: Assistant Lab Manager (Environmental / Chemistry Laboratory)
• Location: West (Near Gui Circle MRT)
• Working hours: 5 days, Monday to Friday (8.30am to 6.00pm)
• Salary: Up to $5500 + AWS + Variable Bonus + Dental + Transport + Medical claim
• Duration: Permanent
• Industry: Environment Laboratory

Main Responsibilities:

• Support daily lab operations and ensure ISO/IEC 17025 compliance
• Supervise environmental testing (water, soil, air, wastewater)
• Review analytical results, QC data, and troubleshoot issues
• Coordinate equipment calibration, maintenance, and validation
• Support staff supervision, training, and workload planning
• Participate in audits, safety compliance, and improvement initiatives
  

Requirement:

• Degree in Chemistry, Environmental Science or related field
• 3–5 years of lab experience (environmental testing preferred)
• Familiar with ISO/IEC 17025 and QA/QC practices
• Experience with instruments (ICP, GC/GC-MS, IC, TOC)
• Strong analytical, leadership, and problem-solving skills
• SAC SINGLAS signatory experience will be an advantage
  

Email to joie@searchpersonnel.com.sg

Do visit www.facebook.com/search.personnel for more job listings and career tips!

We DO NOT charge our candidates nor bind them with any contract.

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

About Elder Education Department

Elder Education Department provides a gamut of active ageing programmes that reaches out to seniors in the community. To encourage seniors to maintain active lifestyles, the department offers a wide variety of programmes to promote lifelong learning, healthy living, social networking and inter-generational bonding. Their efforts to encourage seniors to adopt digital technology is a key thrust to give seniors more options – in the way they receive information and how they communicate with others. The department believes that learning never stops.

Responsibilities:

• Support digital skills project for seniors
• Support project for seniors with disabilities
• Design & create attractive publicity collaterals and manage social media posts
• Assist in recruiting, planning and coordinating with programme trainers and facilitators for onsite workshops
• Provide administrative support and handles progress reports
• Handle senior enquiries through phone calls, text messages and emails
• Other duties as assigned

Requirements:

• Diploma Holder and above
• A team player
• Tech savvy
• Strong communication & interpersonal skills
• Experience in outreach and coordination work
• Meticulous & organizational skills
• Possess creative-thinking and problem-solving skills
• Able to multi-task & work independently with minimum supervision

Work Location: Tiong Bahru

If you are interested to join us, please apply via Fei Yue Career Portal.

For your privacy and security, kindly refrain from including your NRIC number in your application form or resume. Please note that we do not accept hardcopy resumes.

Established in 2011 in a joint effort by the Maritime and Port Authority (MPA), the Agency for Science, Technology and Research (A*STAR) and the Singapore Economic Development Board (EDB), SMI develops strategies and programmes to achieve its mission with key focus areas in sectors such as port, shipping and maritime services. SMI charts the maritime research strategy and promotes greater industry-academia R&D collaborations to be undertaken in Singapore.

Role and Responsibilities

We are seeking for a Manager/Assistant Manager, to be part of our R&D team, to strive towards our Mission in establishing Singapore as a leading global maritime research centre of excellence in Next Generation Port, Smart Shipping, and Green Technologies.

You will support the Deputy Executive Director and work with a team of R&D managers to strengthen R&D collaborations between our maritime industry and academia partners.

The key responsibilities will include:

Strategy Planning

· Map out latest developments and carry out gap analyses in science and technologies relevant to maritime domain, and identify new emerging areas for Singapore’s maritime strategic interests;

· Develop strategies, initiatives and programmes for the translation, deployment, commercialisation, and internationalisation of maritime R&D through engaging government agencies, Institutes of Higher Learning (IHLs), Research Institutes (RIs), maritime companies and other relevant stakeholders

Initiatives and Programmes

· Plan and implement R&D programs and initiatives;

· Evaluate R&D proposals submitted or led by IHLs/RIs;

· Oversee and manage performances of maritime Centres of Excellence and Programme Partners;

· Manage awarded projects and budgets, including variations to budget/ project duration/ project-lead, collation of reports, and review of completed projects.

Engagement

· Engage potential overseas IHLs/RIs to identify synergies, coordinate maritime R&D collaborations, and facilitate multilateral R&D engagements for impactful joint initiatives.

· Engage companies in the maritime industry to understand their technology and business needs, partnering with key stakeholders to showcase local R&D capabilities, and facilitating research opportunities by harmonizing industry needs with local R&D capabilities;

· Drive partnerships between the research ecosystem and industry, and to catalyse technology commercialisation, focusing on industry collaboration projects and translation platforms in the maritime domain

· Plan and organise engagement visits to project partners

Other Duties:

· Oversee R&D processes to ensure compliance with established funding policies and procedures;

· Manage internal R&D capability development and resourcing;

· Represent SMI in R&D matters, when required or any other ad hoc duties assigned.

Qualification and Experience

a. Background in maritime, science or engineering fields with 3 years of relevant working experience

b. Experience in R&D strategy formulation, technology fore-sighting / road mapping, technology translation, and/or good working knowledge of the R&D landscape in Singapore.

c. Experience with grant governance and administration e.g. funding guidelines or compliance requirements;

d. Strong interest in applied science and technology R&D and research community engagement

e. Strong basics in computing, data science, and AI applications related to robotic or autonomous physical systems or industry-relevant problems are also welcome

Skills

a. Proficient in Microsoft Office and grant management software (e.g. Oracle Netsuite);

b. Good analytical skills, with an ability to take a strategic perspective when formulating proposals and recommendations;

c. Excellent interpersonal, communication and presentation skills for effective engagement of senior stakeholders, partner agencies, IHLs/RIs and companies;

d. Proven planning and organisational abilities.

• 5 working days
• Location at Gul Circle
• Transport Provided
• OT + AWS + Variable Bonus + Yearly Increment

Responsibilities:

• Oversees and executes repair, maintenance, and troubleshooting operations in both outdoor and indoor environments.
• When outdoor repairs are not required, tasks are performed within the company workshop.

Qualifications:

• Degree, Diploma, or Certificate in Electrical and Electronic Engineering, with knowledge of AC & DC motors, single-phase and three-phase systems, lead-acid and lithium batteries, electrical control circuits, and hydraulic systems.
• Experience in customer support.
• Strong teamwork and communication skills.
• Possession of a driving license will be an advantage.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

EA Personnel: Nyon Hock Sen (Aden)

EA Personnel Reg No: R24124070

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision and image processing techniques to improve robot perception and object recognition capabilities.
• 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.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• At least 2 years of experience
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• 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.

Job Description

As a Research Scientist in Embodied AI for Robotics, you will pioneer advanced research that sits at the intersection of machine learning, simulation, and physical robotic systems. You will lead efforts in developing novel AI-driven robotic capabilities, including multimodal perception, dexterous manipulation, reinforcement learning, motion generation, and simulation-to-real transfer.

You will work closely with engineers and scientists to translate cutting-edge research into production-ready robotic intelligence.

Roles and Responsibilities:

• Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics.
• Develop novel algorithms and models for manipulation, navigation, and adaptive autonomy in complex manufacturing environments.
• Build and refine high-fidelity simulation environments using tools such as Isaac Sim, Gazebo, or custom simulators.
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators based on research outcomes using languages like C++ and Python and libraries such as ROS.
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Drive application-oriented robotic research towards industrial automation.
• Publish research findings in top-tier robotics/AI venues and develop technical documentation. 

Job Requirements:

• PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
• Min. years of experience: 5 years.

Essential Skills & Experience:

• Strong proficiency in C++ and Python.
• Experience with ROS and its ecosystem (ROS/ROS2).
• Expertise in AI/ML model development, including reinforcement learning or imitation learning.
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous. 
• Experience with Isaac Sim, Gazebo, Webots, or equivalent robotics simulators.
• Familiarity with Git, collaborative code workflows, and the software development lifecycle.
• Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
• Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.

Desired Skills & Experience:

• Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
• Experience with software systems integration, architecture, communication protocols, and networked systems.
• Experience managing research projects or leading technical initiatives.
• Experience working with industry partners and presenting technical work.
• Prior experience in using/operating humanoids or working in semicon equipment sector is an added advantage.
• Candidates should be prepared to present their approach to pioneering research or translating research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, or propose an alternative research translation initiative.

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.

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 8 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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.

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 10 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of inconsistency scores. 

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Job Responsibilities

• Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met.
• Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings).
• Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora.
• Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures.
• Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels.
• Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques.
• Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis.
• Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines.
• Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings.

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Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field.
• Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn.
• Prior experience or coursework in natural language processing, machine learning, or information retrieval.
• Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices.
• Experience with financial data or financial text analysis will be advantageous.
• Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous.
• Good communication skills and ability to work both independently and collaboratively.

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision and image processing techniques to improve robot perception and object recognition capabilities.
• 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.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• At least 5 years of experience
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• 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.

We are seeking a Research Professional with expertise in data science and healthcare analytics, and a strong interest in cardiovascular research, statistical modelling, and Artificial Intelligence (AI). You will be part of the data science research team at the National Heart Research Institute Singapore (NHRIS), National Heart Centre of Singapore (NHCS), reporting to the Principal Investigator. The team collaborates with local and global research institutions and multiple industry partners to advance data-driven cardiovascular research through innovative analytical approaches.

You are responsible for the progress of research projects under your care and are expected to demonstrate research expertise and capability in areas such as machine learning, deep learning, and natural language processing applied to healthcare data. You will support the development, integration, and analysis of large-scale healthcare datasets through the national HEALIX platform on SingCLOUD, including data mining, processing, quality assurance, and documentation. Additionally, you will assist the Principal Investigator in leading and supervising junior researchers, collaborate with IT administrators to enhance data pipelines, and be actively involved in research collaborations with partners to identify data-driven research opportunities. The selected candidate will be offered employment on two-year renewable contractual terms.

Requirements:

• Bachelor's/Master's degree in Biostatistics, Applied Statistics, or Epidemiology is preferred. Coursework in Computer Science, Data Science, Biology, or a related quantitative field will also be considered.

• Experience with study design and conventional statistical models

• Good understanding of machine learning, deep learning, and/or NLP concepts and algorithms

• Proficiency in Python and Rprogramming languages

• Knowledge of SQL is preferred

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.

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.

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.

Job Description

As a Research Scientist in Embodied AI for Robotics, you will pioneer advanced research that sits at the intersection of machine learning, simulation, and physical robotic systems. You will lead efforts in developing novel AI-driven robotic capabilities, including multimodal perception, dexterous manipulation, reinforcement learning, motion generation, and simulation-to-real transfer.

You will work closely with engineers and scientists to translate cutting-edge research into production-ready robotic intelligence.

Roles and Responsibilities:

• Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics.
• Develop novel algorithms and models for manipulation, navigation, and adaptive autonomy in complex manufacturing environments.
• Build and refine high-fidelity simulation environments using tools such as Isaac Sim, Gazebo, or custom simulators.
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators based on research outcomes using languages like C++ and Python and libraries such as ROS.
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Drive application-oriented robotic research towards industrial automation.
• Publish research findings in top-tier robotics/AI venues and develop technical documentation. 

Job Requirements:

• PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
• Min. years of experience: 3-5 years.

Essential Skills & Experience:

• Strong proficiency in C++ and Python.
• Experience with ROS and its ecosystem (ROS/ROS2).
• Expertise in AI/ML model development, including reinforcement learning or imitation learning.
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous. 
• Experience with Isaac Sim, Gazebo, Webots, or equivalent robotics simulators.
• Familiarity with Git, collaborative code workflows, and the software development lifecycle.
• Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
• Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.

Desired Skills & Experience:

• Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
• Experience with software systems integration, architecture, communication protocols, and networked systems.
• Experience managing research projects or leading technical initiatives.
• Experience working with industry partners and presenting technical work.
• Prior experience in using/operating humanoids or working in semicon equipment sector is an added advantage.
• Candidates should be prepared to present their approach to pioneering research or translating research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, or propose an alternative research translation initiative.

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.