Total 2,233 Science / R&D / Research job vacancies

Company Overview:
For over 10 years, we’ve been shaping Singapore’s construction landscape with one mission: building a greener, smarter tomorrow. As ACMV specialists, we design energy‑efficient systems that cut carbon footprints and make spaces cleaner, healthier, and future‑ready. Our team is curious, passionate, and driven to push boundaries—every project is a chance to leave a lasting impact.

Why You’ll Love It Here

Implicant Pte. Ltd. is a Singapore deep-tech spin-off from NTU SPMS. We build machine learning models that are interpretable by design and run on encrypted data using fully homomorphic encryption (FHE). We are building a managed cloud platform for FHE-protected interpretable model training and inference, targeting financial services, defense, healthcare, and clinical analytics.

Key Responsibilities:

• Build and ship features across the Implicant platform end-to-end, from database migration through API to frontend, with no handoffs.

• Extend the training and inference platform (data ingestion, training jobs, Pareto frontier analysis, rule extraction, distillation pipelines).

• Maintain and grow the customer-facing dashboard (inference page, model catalogue, billing).

• Co-build the external API and Python SDK alongside the current full-stack lead.

• Implement the FHE bootstrap key onboarding flow for clients running encrypted inference.

• Wire Stripe billing and metering into the platform.

• Own backend workflows for training jobs and asynchronous compute (FastAPI with Temporal-style orchestration).

• Contribute to platform security and reliability (row-level security, authentication, audit logging).

Job Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.

• 4 years of relevant experience

• Proven experience as full-stack engineer

• Effective communication and interpersonal skills to collaborate with other engineers.

• At least 3 years of full-stack experience shipping customer-facing software end-to-end.

• Strong working knowledge of Python with FastAPI (or similar) and TypeScript with a modern frontend framework (Svelte preferred; React or Vue acceptable).

• Production experience with PostgreSQL, including row-level security.

• Good understanding of Machine Learning (architecture principles and ML librairies)

• ML-literate: comfortable reading scikit-learn and PyTorch code and working with tabular machine learning workflows.

• Comfortable in a small team with direct ownership and minimal process overhead.

• Based in Singapore or willing to relocate.

We regret that only shortlisted candidates will be notified.

Job Summary:

The Channel Sales will be responsible for driving and expanding D-Link's presence in the Singapore retail and superstore channels. This role will involve managing relationships with key retail partners, ensuring the successful promotion and sales of D-Link products, and achieving sales targets. The Channel Sales will work closely with cross-functional teams to develop and execute sales strategies that maximize retail distribution, improve brand visibility, and increase revenue within the retail sector. The ideal candidate will have a strong understanding of the local retail market, exceptional communication skills, and the ability to foster long-term relationships with retail partners.

Key Responsibilities:

1. Channel Development & Management:Build and maintain strong relationships with retail partners, including superstores, IT retailers, and e-commerce platforms in Singapore.
   Identify new potential retail partners and develop new business opportunities in the channel.
   Ensure the efficient execution of sales strategies within the retail sector, driving D-Link product sales in stores and online.
   
2. Sales Target Achievement:Set and monitor sales targets for retail accounts in collaboration with the regional sales team.
   Drive channel growth and ensure the achievement of monthly, quarterly, and annual sales targets.
   Analyze sales performance, identify opportunities for growth, and develop strategies to achieve sales goals.
   
3. Product Promotion and Merchandising:Oversee product placement and merchandising in retail outlets to enhance visibility and drive customer engagement.
   Collaborate with retail teams to ensure that D-Link products are adequately represented in-store through promotional activities, displays, and marketing materials.
   Support retail partners with training on D-Link product features, benefits, and customer value propositions.
   
4. Market Intelligence & Competitor Analysis:Monitor and analyze competitor activities, market trends, and consumer behavior to identify opportunities and threats within the retail space.
   Provide feedback to D-Link's product and marketing teams based on insights from the retail channel.
   
5. Marketing & Promotions:Work closely with the marketing department to plan and execute joint marketing campaigns, seasonal promotions, and product launches that drive foot traffic and sales.
   Ensure timely and effective promotional campaigns are implemented across retail partners to boost product sales.
   
6. Relationship Management:Serve as the main point of contact for all retail partner inquiries, ensuring excellent communication and a high level of customer service.
   Conduct regular visits to retail outlets to build relationships, understand customer needs, and provide support.
   
7. Reporting & Performance Tracking:Track, measure, and report on retail sales performance against targets, KPIs, and key metrics.
   Provide regular updates to management on the sales pipeline, key wins, and opportunities for growth within the retail channel.
   Use CRM tools and analytics to manage accounts and monitor performance.
   
8. Channel Support & Customer Satisfaction:Provide ongoing support to retail partners, helping them to resolve issues and ensuring high levels of customer satisfaction.
   Collaborate with internal teams to ensure retail partners are equipped with the right tools, training, and support for success.

Key Qualifications & Skills:

• Experience: Minimum of 3-5 years of experience in channel sales, retail sales, or account management, preferably in the technology or networking industry.
• Knowledge: Strong understanding of the Singapore retail landscape, including experience working with IT superstores, large retail chains, and e-commerce platforms.
• Skills: Excellent interpersonal and communication skills; strong negotiation and relationship-building abilities; analytical skills for market analysis and sales forecasting
• Problem-Solving: Ability to quickly identify problems and implement solutions to meet sales goals and improve retail performance.
• Language: Proficiency in English (additional languages, such as Mandarin, will be an advantage).
• Travel: Willingness to travel within Singapore for store visits, partner meetings, and events.

Key Performance Indicators (KPIs):

• Achievement of sales targets and revenue growth for retail channels.
• Expansion and management of retail partner relationships.
• Successful execution of promotional campaigns and product launches in retail stores.
• Improvement in product visibility and sales performance in key retail outlets.
• Customer satisfaction and feedback from retail partners.

Responsibilities

·        Provide and coordinate nursing care to patientswho participate in research studies

·        Enforce standards of care and professional codesof conduct.

·        Ensure safety and well-being of study subjects, andall clinical trial data are reliable

·        Recognise emergency situations and assist intreatment procedures

·        Prepare research metrics and reports forsubmission

·        Perform intensive monitoring of researchsubjects in early phase clinical trials

Job requirements

·        Diploma / Bachelor’s Degree in Nursing

·        Registered nursing qualification and registeredwith Singapore Nursing Board (SNB) with valid BCLS certificate

·        At least 5 years' clinical nursing experience inClinical Trial

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Yeo

Outsourcing Team

Recruit Express Pte Ltd, EA License No.: 99C4599

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-%282D-Materials-Growth-and-Devices%29/33087-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The GEMs Lab at NUS is seeking a few highly motivated postdoctoral researchers to work on the CVD growth two-dimensional (2D) materials. The successful candidate will contribute to the development of high-quality synthesis techniques for 2D materials and their integration into next-generation electronic and optoelectronic devices. This position offers an exciting opportunity to conduct independent research while collaborating across disciplines and contributing to high-impact publications in leading international journals. The successful candidate will gain valuable expertise in cutting-edge technologies and work in a dynamic, multidisciplinary research environment.

Qualifications

•    Ph.D. in Materials Science, Physics, Electrical Engineering, Chemistry, or a related field.
•    Strong background in 2D materials growth (CVD).
•    Strong publication record in peer-reviewed journals.
•    Excellent problem-solving skills, self-motivation, and ability to work independently and collaboratively.
•    Strong communication and writing skills in English.
•    Less than 3 years of work experience after obtaining a PhD degree.

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-%28ASEAN-Law-and-Policy-Programme%29/33151-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for International Law (CIL) at the National University of Singapore is a university-level research centre, with the mission of producing cutting edge research on international law. It is also at the forefront of capacity-building initiatives in the Asia-Pacific region through workshops, conferences, training sessions, and academic programmes that engage a diverse audience of government and private sector professionals as well as academics. 

CIL is inviting applications for a Research Fellow position in its ASEAN Law and Policy programme. The Research Fellow will work under the supervision of the Head of the ASEAN Law and Policy Programme, Professor Joseph Weiler. The Research fellow will also work closely with other researchers of the ASEAN Law and Policy Programme.

Applications are open to candidates with and a demonstrable research interest in any aspect of ASEAN Law, and/or the development of ASEAN institutions and the rule-based order. We have a particular interest in candidates with a background in International Economic Law and an interest in the ASEAN Economic Community. Applicants are required to submit a research proposal on a specific area of inquiry related to ASEAN.

The position will commence in November 2026. The initial appointment will be for one year, with the possibility of extension to a second year contingent upon satisfactory progress during the first year.

Responsibilities and Requirements

• To propose and lead a research project on a specific area of ASEAN Cooperation.
• Significant scholarly output (journal articles, book chapters, policy papers and blogs etc).
• To present their research and give papers at academic conferences at NUS and elsewhere.
• To organise capacity building programmes, namely the annual Global Trade Law Academy online and the annual CIL ASEAN Academic Workshop.
• To edit the ASEAN Ideas in Progress Working Paper series.
• To contribute, where appropriate, to CIL’s broader research projects, events and initiatives.
• Subject to the standard NUS terms of annual leave, the Fellow will be expected to be in residence in Singapore throughout the term of their appointment. In addition to annual leave, the Fellow may apply for leave to undertake research and fieldwork overseas, subject to the approval of the CIL Director.

Qualifications

The selection committee will consider the following criteria in making appointments:

1. Applicants must possess a doctoral degree in international law, or a relevant ASEAN-related discipline.
2. Applicants should have a minimum of two-year work experience after receiving their PhD.
3. The primary selection criterion will be the strength of the applicant’s background in ASEAN law and/or integration, and the applicant's potential for excellence in research.

Application Procedures

Application should be submitted online with the following documents via the NUS career portal. Preference will be given to applications received by 30 June 2026:

• Personal Statement (500-600 words) outlining the reasons for seeking the Fellowship, the applicant's career goals, and any other pertinent information relevant to the application.
• Full Curriculum Vitae containing complete and detailed information on academic institutions, honours, awards, publications and professional experience (current and previous, including employment dates and job descriptions).
• A copy of the doctoral dissertation as well as doctoral certification.
• A detailed Research Proposal (maximum 3000 words) outlining, inter alia, the research question(s), the proposed methodology of answering such, the anticipated contribution to the field, and expected deliverables (e.g. book, articles). The title of the proposal should clearly indicate the nature of the research project and the proposal should include an executive summary of no more than 600 words. 
• One or two samples of published work.
• At least three letters of reference from academic referees, including one from the PhD supervisor . Reference letters should be sent confidentially directly to Ms Huong Tam (huong.tam@nus.edu.sg) by the application deadline and should address the applicant's potential to conduct high-quality research.

Only shortlisted candidates will be notified. 

Responsibilities

·       Design and deliver a rigorous, engaging, and future-focused Computer Science curriculum aligned with the Cambridge International Curriculum and the school's educational philosophy.

·       Teach Computer Science across a range of year levels, from Year 6 through to IGCSE and A Level/IB Diploma, fostering computational thinking, creativity, and problem-solving skills.

·       Prepare students for IGCSE Computer Science examinations, commencing with the first examination cohort in May/June 2027, through structured and challenging instruction.

·       Work closely with Junior School colleagues to ensure continuity and progression from the Coding and Robotics programme introduced from Year 3 onwards.

·       Teach a second subject, such as Mathematics, Physics, or another STEM-related discipline, up to Key Stage 3 or 4 where required.

·       Serve as a Form Tutor, supporting students’ academic, personal, and social development.

·       Establish and maintain strong partnerships with parents, providing regular updates on student progress and addressing concerns in a professional and timely manner.

·       Integrate innovative teaching methodologies and educational technologies to enhance student learning and engagement in Computer Science.

·       Foster an inclusive, supportive, and stimulating classroom environment that accommodates diverse learning needs, including students for whom English is an Additional Language (EAL).

·       Contribute to the co-curricular programme through activities such as coding clubs, robotics teams, hackathons, cybersecurity initiatives, and STEM competitions.

·       Participate actively in professional development opportunities and contribute to the sharing of best practices within the department and wider school community.

Job Requirements

·       Strong subject knowledge in Computer Science, with the ability to deliver high-quality instruction to learners of varying abilities.

·       Proven experience teaching Computer Science to students aged 11–16, including preparation for IGCSE or equivalent external examinations.

·       Excellent communication and interpersonal skills, with the ability to build positive relationships with students, parents, and colleagues.

·       Cultural awareness and adaptability, with the ability to work effectively within an international school environment.

·       Strong organisational and time-management skills, with the capacity to manage multiple responsibilities in a dynamic setting.

·       Proficiency in relevant programming languages (e.g., Python, Java) and educational technologies that support Computer Science learning.

·       Demonstrated ability to motivate, challenge, and inspire students to achieve their full potential.

·       Ability to teach a second STEM subject, such as Mathematics, Physics, or a related discipline, up to Key Stage 3 or 4.

·       Experience in curriculum development, departmental leadership, or coordinating initiatives within a Technology or Computing Department.

·       Experience supporting EAL learners and implementing strategies that facilitate language development within technical subject areas.

·       Familiarity with concept-based, inquiry-based, and project-based learning approaches.

·       Previous experience working in an international school setting.

·       Passion for promoting interdisciplinary STEM learning, including emerging areas such as artificial intelligence, robotics, data science, and cybersecurity.

Please submit your updated resume in Word format by using the Apply Now Button.

We regret that only shortlisted candidates will be notified.

Email resume to She••••••••@peopleprofilers.com

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.

Tel: 69•• •741

http://www.peopleprofilers.com

EA License Number: 02C4944

Registration Number: R1106021

Posting Personnel: Yeoh Xianni Sherry

REF: JOB-00418

This role serves and acts as a bridging point between our operations & customers.

This role reports to the Operations Manager and will be on track for future advancement in the Operations Unit.

Job Description

Key Responsibilities

• Facilitate Customer's Requests
• Communicate and ensure facilitation from Operations Team
• Ensure BAU for Production & Logistics
• Implementation & Optimisation of process flow
• Tracking Incidents / Requests
• Tracking & Coordinating Logistics & Machinery Maintanence or Repair
• Contingency Planning & Implementation of Contingency Plans

Good to have:

• Ability to Prioritise Tasks according to Importance & urgency
• Familiarity of working with foreign production workers
• Ability to learn and overcome obstacles independently
• Basic software / application skills (Microsoft & Google)

Ideally:

• Be able to commit for at least 3 years

Job Details:

• Location: West, Pandan Loop
• Hours: 9am to 6pm
• Days: 5 Days

We are seeking an experienced Assistant Research Officer / Research Officer to develop and support our molecular and omics capabilities in nutrigenomics, transcriptomics, and proteomics for large-scale aquaculture nutrition, health, and welfare research. This role combines hands-on technical expertise, platform development, and team coordination, bridging experimental biology with high-throughput molecular analyses.

Responsibilities

• Establish, optimize, and maintain workflows in:
  · RNA extraction, QC, and library preparation (bulk RNA-seq; transcriptomics)
  · Protein extraction, digestion, preparation for LC-MS/MS-based proteomics
  · Nutrigenomics assays linked to diet, stress, immunity, and growth
• Ensure reproducibility, traceability, and SOP standardization across experiments
• Coordinate sample pipelines from farm/experimental systems to molecular analysis
• Work closely with PIs, postdocs, and students to:
• · Design sampling strategies aligned with nutritional / physiological hypotheses
• · Integrate omics endpoints into feeding, vaccination, and challenge trials
• Support interpretation of molecular results in a biological and nutritional context
• Contribute to manuscripts, reports, and grant deliverables (methods, QA/QC sections)
• Ensure day-to-day operationsof the molecular laboratory
• Guide and mentor technicians, students, and visiting researchers
• Manage consumables, reagents, service contracts, and equipment maintenance
• Ensure compliance with biosafety, animal ethics, and institutional guidelines

Requirements

• PhD or MSc with strong experience in molecular biology, omics, or nutritional physiology
• Demonstrated hands-on experience in transcriptomics and/or proteomics
• Strong background in sample preparation, QC, and experimental rigor
• Proven ability to support laboratory operations and coordinate multiple projects

Salary and benefits are commensurable to educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, curriculum vitae with list of publications and two referees’ contacts/ recommendation letters) to:

Dr Richard Le Boucher
Head (Precision Aquaculture) & Director, Commercial Strategy (Aquaculture)
Temasek Life Sciences Laboratory Ltd
Email: mailto:richard@tll.org.sgrichardgroupARO@tll.org.sg

(Please note that only shortlisted candidates will be notified)

Job Description 

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 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.
• At least 5 years of experience
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• 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.

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Sustainability Office (SO) 
The Sustainability Office is a centre of excellence for sustainable investing practices that drives GIC’s focus on this area as an enterprise priority. The Office is responsible for (i) partnering with GIC’s investment teams to integrate sustainability-related considerations in the investment process through the co-development of methodologies, tools, and frameworks, (ii) conducting industry-leading sustainability research that informs the firm’s view on financial materiality and direction on sustainability-themed investing, (iii) defining GIC’s public stance on sustainable investing and the metrics used to measure the sustainability performance of the portfolio, and (iv) providing trusted advice to GIC’s clients to support their sustainable investing strategy. These responsibilities are executed in close collaboration with asset class department-level sustainability experts, and with middle office and corporate services leaders.   

What will you do as an Associate/AVP, Total Portfolio Sustainability Investment Research & Strategy?

• Conduct thematic/macro research: Perform in-depth investment research on sustainability issues such as climate change, nature, water, biodiversity, supply chains, labor management, and corporate governance. Evaluate their macroeconomic and investment implications and establish the firm’s view on these matters. 

• Collaborate with investment teams: Partner with top-of-the-house investment teams to develop comprehensive sustainability integration frameworks, methodologies, tools, and analytics for the total portfolio. 

• Analyse sustainability policy developments: Track sustainability-related policy changes for 1-2 major countries, analyzing their macroeconomic and market impacts, and generating investment insights for senior management and investment teams. 

What qualifications or skills should you possess in this role?  

• Professional experience: Minimum of 4 years of experience in conducting macro and/or thematic research across various asset classes. Experience with multi-asset allocation is highly regarded. 

• Educational background: Bachelor’s degree or higher, preferably in finance, economics, statistics, sustainability/climate, or related fields

• Analytical and technical skills: Strong quantitative analytical abilities, statistical/econometric skills, proficient in macroeconomic analysis, and adept at systematic investment research. Expertise in R/Python, MS Office products, and market data services (e.g., Refinitiv, Bloomberg, and/or Factset). 

• Connecting dots: Ability to synthesize information across sustainability issues, the real economy, and financial markets to produce differentiated investment insights. 

• Communication skills: Excellent written and verbal communication skills, capable of explaining complex concepts to both technical and non-technical stakeholders through research notes, publications, and presentations. 

• Collaborative mindset: Demonstrated ability to engage proactively with key internal stakeholders and external partners to build consensus on critical sustainability investment initiatives. 

• Project Management: Strong project management skills, with the ability to manage multiple workstreams effectively and independently. 

Work at the Point of Impact

We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact. 

Flexibility at GIC

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer

GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Please email grphrodtaops@gic.com.sg at any point of the application or interview process if adjustments need to be made due to a disability.

Learn more about our Sustainability Office Department here: 

https://gic.careers/departments/sustainability-office/
To be considered for the role, please submit a formal application through the GIC Careers site at

https://careers.gic.com.sg/job-invite/16888/

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.

We are looking for a Research Associate in Aerial Robotics to support a cutting-edge project focused on designing, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. The role will focus on merging advanced computational modeling, AI-driven control algorithms, and innovative mechanical design to replicate the remarkable flight capabilities observed in nature. The successful candidate will be part of a dynamic, multidisciplinary team of experts in aerodynamics, robotics, and machine intelligence, working collaboratively to push the boundaries of small unmanned aerial system performance. This high-impact research aims to transform how drones navigate cluttered spaces, setting the stage for next-generation aerial platforms with wide-ranging applications in areas such as surveillance, inspection, and environmental monitoring.

Key Responsibilities:

• Support research and development related to Robot Design and Autonomous Control of an Avian-Inspired Robot

• Design and fabricate robust platform prototypes

• Develop models and algorithms (AI-based) for dynamics and control of flight.

• Support PI/Team Lead with project management activities and preparation of progress reports

Job Requirements:

• Education qualifications: MSc or MEng in Robotics, Mechanical, Aerospace, Electrical Engineering, or related fields. Specialization in aerial robotics, bio-inspired robotics, materials, or AI-driven control is preferred.

• Soft skills: Strong communication, teamwork, adaptability, and problem-solving abilities.

• Hard skills: Background in flight dynamics, control, robotics, AI/ML, embedded systems, and system modelling. Proficiency in Python, C++, and MATLAB/Simulink. Research publication record is preferred.

• Experience: R&D experience in designing, fabricating, testing, and refining aerial, autonomous, or bio-inspired robotic platforms.

• Competencies: Proficiency in CAD, rapid prototyping, autopilot flight control, ROS/ROS2, sensor integration, and experimental validation.

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-in-Digital-Humanities-%28Department-of-Philosophy%2C-and-CSSH%29/33069-en_GB/?st=27CF5936A55A2B7A914BA56A6DB2771EB8ECC8AF

We regret that only shortlisted candidates will be notified.

Job Description

    1.       To act as lead engineer in bringing to fruition the project English Philosophy Texts Online (EPTO), a free library of early modern philosophical and theological texts, whose pilot website is at English Philosophical Texts Online.  This builds on the long-term project Hume Texts Online, developed by Professor Millican together with Dr Amyas Merivale (who will continue to act as a consultant).  Hume Texts Online has become the standard resource for Hume scholars worldwide, and the aim of English Philosophical Texts Online is to do the same for a wide range of early modern texts, while extending significantly the analytical tools provided.

   2.        To support the development of technical and organisational software infrastructure for digital humanities within the Centre for Computational Social Science and Humanities, with a view to future grant applications and projects.

   3.        To provide materials, teaching and practical classes to support the application aspects of the course HS1503, Living with AI: Understanding the Technology that’s Changing Everything.  These include AI in humanities research, languages, texts, creative work, and related professional contexts.  Practical work will cover use and critical evaluation of relevant tools, e.g. in textual analysis, translation, research assistance, content generation, and decision support.

Teaching and support for the HS1503 course would be undertaken in close liaison with the course’s principal lecturer (likely to be Assistant Professor Daniel Waxman in Semester 1, and Professor Peter Millican in Semester 2).  It is expected that the appointee will be fully responsible for producing materials and running practical classes and tutorials on the application aspects of the course (but not on the philosophical or historical aspects), and for preparing the corresponding lectures.

Qualifications

This position requires a good first degree and an appropriate Master’s or Doctoral degree, with at least 2 years’ relevant work experience, and good knowledge, technical skills and expertise in the field of digital humanities.

The appointee is expected to have expertise and at least two years’ experience in relevant programming, with a keen interest in software development and exploration of new techniques for digital humanities (including application of machine learning to OCR and textual analysis, and innovative display of analytical results).  In addition, he or she should have some experience in teaching at a university level (or similar), and in producing appropriate educational materials.  Experience in mentoring junior staff, and in providing technical guidance on a variety of projects, would also be desirable.

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.

Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent Research and support positive outcomes for the project and research group.

Key Responsibilities:

• Project performance

• AI method development

• Gathering of domain knowledge and formalization

• Writing of research documentation/ideas/publication

• Mentoring of students/other researchers (potentially) as well as long-term research agenda development and implementation

Job Requirements:

• Education qualifications: Master Degree in Mechanical Engineering or fitting domain with good results.

• Soft skills: Presentation, Research Lead

• Hard skills: Experience with Python/AI programming

• Experience: Experience and domain knowledge in the regarded Industrial AI domains.

• Competencies: Conducting Research, Academic Writing, AI and/or Manufacturing project scoping and performance

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