The Bio-inspired Robotics and Design Laboratory at SUTD (https://brd.sutd.edu.sg) is seeking to hire a Research Assistant and a Senior Research Assistant to support projects in soft grasping.

The Roles:

The Research Assistant and Senior Research Assistant will contribute to both fundamental and applied research in dexterous manipulation and grasping. They will be involved in developing advanced control systems for novel soft and hybrid mechanisms, aimed at next-generation applications in diverse environments, from harsh to delicate.

We are looking for innovative and passionate researchers eager to work within a multi-disciplinary team.

Responsibilities:

• Integrate sensors.
• Develop high-level robot control systems.
• Implement advanced low-level control and soft sensor feedback mechanisms.
• Support the design and prototyping of mechanisms for various grasping applications.
• Design and conduct manipulation and grasping experiments in both laboratory and real-world settings.
• Assist with publications and grant writing.

Key Requirements:

• Bachelor's or Master's degree in Electronics Engineering, Computer Science, Mechanical Engineering, Robotics, or related fields.
• Experience with ROS (Robot Operating System).
• Proficiency in SolidWorks.
• Experience in sensor integration and embedded system design.
• Familiarity with soft robotics and additive manufacturing processes is a plus, but not required.
• Familiarity with the use of LLMs for intuitive robot control is a plus, but not a required.

Join us in advancing the field of soft robotics and contributing to innovative solutions for complex grasping challenges!

We are seeking a highly motivated individual to join our dynamic research team. Our research focus is on understanding the functions of endomembrane contacts using fission yeast Schizosaccharomyces pombe and on applying basic findings to studies of human fungal pathogens (C. albicans and C. aruis), aiming to develop strategies for disease prevention. The successful candidate will support maintaining lab infrastructure and research studies.

Requirements:

• MSc / BSc (Honors) in Biological Sciences or related fields
• Experience with protein work or lipid biology is an advantage
• Highly motivated and able to work independently
• Interested in science and willingness to pursue graduate study is preferred

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

Interested individuals should send their applications (including a cover letter, curriculum vitae with at least two references to:

Dr ZHANG Dan

Principal Investigator

Temasek Life Sciences Laboratory Limited

Email: [email protected]

(Please note that only shortlisted candidates will be notified)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and innovative Postdoctoral Research Fellow to join our team. The successful candidate will contribute to the development of advanced exhaust treatment catalyst materials and devices for ammonia (NH₃) combustion engines. This role involves cutting-edge research at the intersection of catalysis, materials science, and environmental engineering, aimed at enhancing the efficiency and sustainability of NH₃-based combustion technologies.
Key Responsibilities:

1. Design and synthesize novel catalyst materials for exhaust treatment in NH₃ combustion engines.
2. Evaluate the catalytic performance under realistic exhaust conditions, focusing on activity, selectivity, and durability.
3. Develop integrated catalyst-device systems for optimal emission control and reduction of harmful byproducts.
4. Collaborate with interdisciplinary teams, including materials scientists, chemical engineers, and environmental researchers.
5. Utilize advanced characterization techniques (e.g., electron microscopy, spectroscopy) to analyze catalyst structures and performance.
6. Optimize catalyst formulations and device configurations to meet regulatory and performance standards.
7. Prepare high-impact research publications, patents, and technical reports.
8. Present findings at scientific conferences and contribute to grant proposals for continued research.

Qualifications

Educational Qualification:

• A Ph.D. in Heterogeneous Catalysis, Materials Science, Chemical Engineering, or a closely related field.

Technical Expertise:

• Highly skilled in catalyst design, synthesis, and characterization.
• Extensive experience with high-end electron microscopy techniques, including but not limited to aberration-corrected TEM/STEM, EELS, and in situ/operando methods.

Professional Experience:

• Proven track record of extensive hands-on experience in heterogeneous catalysis research.
• Demonstrated ability to tackle complex scientific challenges and deliver innovative solutions.

Personal Attributes:

• Strong team spirit, with the ability to collaborate effectively across interdisciplinary teams.
• Optimistic and forward-thinking, with a solution-driven approach to problem-solving.
• Self-motivated and able to work independently while managing multiple tasks and deadlines.

Communication and Collaboration:

• Excellent verbal and written communication skills.
• Strong ability to present research findings in academic and industry settings.

Research Excellence:

• A record of publishing high-quality research articles in peer-reviewed journals.
• Experience with preparing technical reports, patents, or grant proposals is an advantage.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Act as a Finance Business Partner to the designated Research Centre/ Institutes within the cluster and provide strategic support to its management and budget holders by proactively monitoring financial activities and financial reporting specific to the Institutes, and clearly communicating results of the analyses.
• Provide financial and business advisories to the Institutes that are critical to the decision-making purposes and ensure compliance with University’s financial policies and procedures, and funding agencies’ terms & conditions / guidelines.
• Foster and maintain a regular working relationship within the Institutes, central shared services teams, and other functional partners.

Duties & Responsibilities:
Financial Management and Oversight

• Ensure smooth day-to-day financial operations of the Research Centre (RCE) / Institutes (RICs) within the cluster, including exercising financial control over budget expenditure, revenue collection and financial reporting.
• Drive the annual budget and forecast exercises by coordinating all movements of budget, ensuring timely submission of budgets to central teams.
• Participate in strategic meetings and budget planning sessions with the Institutes’ management, providing valuable financial insights to aid decision-making.
• Partner closely with Institutes to guide cost-efficiency initiatives and offer expertise in implementing resource optimization strategies, leading to a reduction in operational expenses.
• Analyse Institutes’ financial positions and funding status, offer insights and recommendations for periodic reporting to the Institutes’ management for decision-making processes.
• Prepare and present financial performance reports to the Institutes’ Governing Board/ Strategic Board, etc, ensuring clarity and accuracy of information.

Grant and Fund Management

• Partner closely with Institutes (as host institution) for effective grant administration, provide financial guidance throughout the grant lifecycle and facilitate budget allocation for various projects and funding sources, to enhance the host institute’s financial stability and research pursuits.
• Collaborate with budget owners to manage grants / funds and proactively identify issues for timely solutions and ensure optimal utilisation of funds.
• Ensure full understanding and compliance with the terms and conditions of the grants as predetermined in the signed letter of awards / agreements.
• Oversee grant claim statements preparation and timely submission to funding agencies, including liaison with auditors and fulfilment of audit requirements, and prompt response to queries for a smooth and timely audit fieldwork.
• Work collaboratively with the Institutes’ stakeholders and central shared services teams during financial year-end closing and grants’ closing activities to ensure all legitimate transactions are properly recorded and all financial reports are accurately prepared.

Governance, Controls and Compliance

• Ensure compliance with related tax filing matters including GST, withholding tax and taxable benefits for personal claims.
• Timely perform Risk Control Matrix (RCM) testing and address anomalies to mitigate financial risks, and ensure certification sign-off by Institute’s HOA before the financial year’s closing deadline.
• Liaise with internal auditors on all internal audit matters, where required.
• Coordinate and oversee the annual fixed assets verification exercise of the designated Institutes. Work collaboratively with Institutes’ stakeholders to ensure compliance with the verification procedures and maintain accurate records of fixed assets.

Leadership

• Execute plans and strategies outlined by Cluster Lead, ensuring that team goals align with the broader NUS / research finance cluster objectives.
• Resolve operational issues and challenges, making decisions with defined parameters and escalating complex issues when necessary.
• Monitor individual and team performance, offering feedback and support for continuous improvement

Process Improvement and Stakeholder Communication

• Proactively engage with Institutes’ stakeholders to understand their needs, challenges and goals.
• Provide guidance and updates to stakeholders on finance policies, guidelines and procedures, as and when required.
• Identify opportunities to develop guidelines and streamline financial processes for operational efficiency and resource optimization.
• Lead change initiatives such as projects, system implementation and other assignments as may be directed from time to time.
• Undertake ad-hoc tasks as requested by Institutes or assigned by Cluster lead.

Qualifications

• Accounting Degree/ACCA or equivalent with at least 10 years of relevant working experience
• Exposure to grant budgets, funding agencies’ regulations and financial compliance requirements in a research or education environment will be advantageous
• Technically competent with up-to-date knowledge of accounting / audit standards and practices
• Ability to quickly learn and grasp the implications of terms and conditions for each managed grant
• Highly stakeholder service-focused and strong in communication skills with the ability to build positive working relations and work collaboratively with people at all levels
• Highly analytical with exceptional problem-solving and organisational skills
• Self-motivated individual and able to work with minimal supervision in a dynamic environment with competing demands for resources
• A keen sense of ownership and accountability, and act with a sense of urgency to meet tight deadlines
• Proficient in using MS Office and has relevant experience in SAP accounting system and flexibility to adapt new software applications, where applicable

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build hardware for the next generation of the ion trap quantum processor. This includes design and implementation of the modular and compact optical system for the laser beam modulation using acousto-optical and electro-optical modulators, delivery of the beams to the inside the vacuum chamber, and implementation of the diffraction limited optical system for ion imaging and addressing of the individual ions with the laser beams.

The successful candidate will be involved in all stages of the development cycle: collaborate with team members to define technical requirements, design, test and integrate the optical systems in the final product.

Job Requirements

We are looking for several optical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Ph.D. in optical engineering, physics or related areas;
• At least 1-2 years of experience in optical design, implementation and testing of the optical or laser systems is preferred.
• Experience in optical design, familiar with optical (for example, Zemax or OSLO) and mechanical (Autodesk or Solidwork) CAD software, able to assemble and test complex optical systems.

Key Responsibilities:

• The successful candidate will be expected to help manage our mouse colony (implementing and managing complex breeding regimes, weaning, time-pregnancies, surgeries, tail clipping etc.).
• The candidate will be expected to perform these tasks independently after the requisite training has been given.
• In addition, candidate will assist research fellows with performing standard lab work and experimental mouse procedures, including tissue processing, histology and cell culture, as well as contributing to general lab tasks.

Key Requirements:

• Degree in Biological Science and Life Science disciplines or equivalent.
• Prior experience in working with mice is highly advantageous, but not essential.
• Successful candidates should have a passionate enthusiasm for research, be self-motivated, highly organized, enjoy working as a team and have good communication skills.

Key Responsibilities:

• Develop and evaluate advanced materials for energy applications, including fusion, fission, hydrogen technologies, or other extreme environment systems.
• Conduct research on materials for harsh and extreme environments to improve performance and reliability in energy systems.
• Assist project and group leaders in preparing research proposals and achieving OKR (Objectives and Key Results).
• Publish high-quality scientific papers and contribute to intellectual property development.
• Collaborate with interdisciplinary teams on energy-related projects.

Job Requirements:

• PhD in Metallurgy, Materials Engineering, Mechanical Engineering, or related fields
• Strong publication record and/or relevant industry experience.
• Proven expertise in materials development for energy-related research such as fusion, fission, hydrogen, or other advanced energy systems.
• Experience with materials characterization techniques and performance evaluation in extreme environments.
• Solid understanding of metallurgy, material degradation mechanisms, and structural integrity analysis.
• Ability to work independently with a proactive and results-oriented mindset.
• Strong problem-solving abilities and effective teamwork skills.

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.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research associate for polymeric biomaterials.

As a research associate in AM.NUS, you will be working on projects on the following areas:

• Synthesize new polymeric biomaterials for advanced bioinks.
• Undertake internal capability development projects and collaborative projects with researchers and industrial partners.
• Produce scientific research papers and grant proposals, and present in seminars, workshops, and conferences.
• Explore collaborations with researchers and industrial partners.
• Assist laboratory safety and procurement whenever necessary.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore (NUS)’s world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS will explore a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalized patient treatments.
AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) center in an Institute of Higher Learning in Singapore which comprises the following Faculties (Medicine, Science, Dentistry and Design & Engineering). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC).

Qualifications

• Master in Materials Science and Engineering/ Biomedical Engineering/Chemical Engineering/ Pharmacy or related field.
• Experience in polymer synthesis and characterization.
• Experience in cell culture techniques.
• Familiarity with 3D printing is an advantage.
• Proficiency in written and spoken English.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least 5 years of relevant experience
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Conduct research on the formulation, processing, and 3D printing of functional materials for actuation and sensing applications. This includes developing and optimizing material compositions, printing processes, and performing experimental characterization and testing to evaluate performance.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, Chemical Engineering, or a related field.
• Strong background in materials formulation, polymer processing, and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:
• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers;

Initial appointment is a contract for a year, subject to renewal.

Interested applicants should send your CV to the NUS Career Portal.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims at studying various threats in software defined networks (SDN) and developing security solutions for detecting anomalies and mitigation.

The Research Assistant (RA) will be responsible to assist in developing techniques such as AI/machine learning/deep learning , to model the normal behaviours and detect anomalies in SDN.

The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.

Job Requirements

• A Masters or Bachelors degree in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in areas - network security, software defined networking, AI/machine learning/deep learning.
• Interests and skill in research and development.
• Software skill for testbed Experimentation and proof-of-concept demonstrations.
• Open to Fixed Term Contract.

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, Naval Group, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

DESCRIPTION

The research work concerns the remote sensing demonstrator developed in the context of the DesCartes project on the use of hybrid artificial intelligence for monitoring, diagnostic and prognostic in structural mechanics in strong connection with the industrial partners: Naval Group and CETIM.

From the already performed researches in the context of Descartes involving inverse identification by data assimilation (images and acoustic spectra) for localizing localized damages (with their sizes and severities) at the laboratory scale, the present position, aims at gaining maturity to prove the validity at the semi-industrial level.

The technologies will apply on pressurized reservoirs, composites and metallic, with data and monitoring provided by the industrial partners, Naval Group and CETIM respectively. Damages, delamination in composites and corrosion in the metallic case, will be identified by using mechanical models (with the reduced model counterparts) ensuring the learning, smart-sensing by locating the adequate sensors (static and piezo-electric) in the optimal location (while minimizing the number of sensors), the real-time data assimilation and the efficient solution (by using hybrid AI) of the associated inverse problems. The integration of all these technologies will constitute the reservoir digital twin.

EXPERIENCE & QUALIFICATIONS

Minimum:

– PhD defended with post-doctoral experience in the domain of advanced simulation in structural mechanics

– Background and research experience in mechanical engineering and computational mechanics

– Experience on mechanical modelling and simulation

Keywords:

1. Structural mechanics
2. Machine learning
3. Inverse methods
4. Finite elements

FURTHER INFORMATION & CONTACT

Gross Monthly Salary Range (SGD): 6,900 to 10,000 (depending on suitability and experience).

Duration of the contract: 1 year contract

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

Interested applicants, please send your resume to:

– FRANCISCO CHINESTA SORIA <[email protected]>

– Please attach your full CV, with the names and contacts (including email addresses) of two-character referees.

A research position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• Bachelor’s / Master's degree in computer science or related degree
• Strong publication record in top-tier IEEE conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description:

The Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Requirements

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof Cai Zhenning on Numerical Simulation of Open Quantum Systems under a project on "Long-time Simulation of Open Quantum Systems for Spin Chains and Non-Relativistic Particles".

The main responsibilities of the position include:

1. Develop algorithms and write scientific papers for the research project.
2. Attend regular group meetings and present his research work.
3. Collaborate with other colleagues and students in the research group.

Qualifications / Discipline:

• PhD degree in Applied/Computational Mathematics

Skills:

• C/C++ and MATLAB programming languages, knowledge in partial differential equations and quantum mechanics.

Experience:

• At least two years of research experience in scientific computing

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National Cybersecurity R&D Laboratory (NCL) is a shared national infrastructure that provides computing resources, repeatable and controllable experimentation environments, as well as application services for the cybersecurity R&D community. The infrastructure includes a cluster of 300 nodes that provides a wide range of provisioning mechanisms, security data and security services. NCL aims to provide a platform that fosters and encourages collaboration among researchers in academia, the industry as well as government bodies both locally and internationally through the sharing and validation of research outcomes. The laboratory was established in November 2015 and is funded by the National Research Foundation (NRF).

Job Description:

• Design and manage cloud-based computing system and network infrastructure
• Work on Security with AI, focusing on leveraging LLM for security applications
• Help to oversee our progress of our grants

Qualifications

• PhD in Computer Science or relevant
• Interest and experienced in looking for expertises in cloud security, applied cryptography, adversarial machine learning, etc
• Enthusiasm for problem-solving and able to work in a fast-paced environment
• Strong interpersonal skills with the ability to communicate effectively

• Oversee and set the strategic direction for R&D and Sales, ensuring alignment with company goals to drive growth and innovation.
• Develop and implement sales strategies to increase revenue and expand market share.
• Ensure R&D efforts focus on creating products that meet customer needs and market demands.
• Lead and foster a collaborative culture between R&D and sales teams to ensure seamless product development and market delivery.
• Collaborate closely with marketing, production, and operations to ensure timely and efficient product launches.
• Monitor sales performance, set objectives, and analyze results to continuously optimize the sales process.
• Manage key performance indicators (KPIs) for both R&D and Sales teams, ensuring alignment with business objectives.
• Establish strong relationships with customers and external stakeholders to gather feedback and identify new market opportunities.
• Manage R&D and sales budgets, ensuring cost-effective operations while maintaining quality and performance standards.

Requirements:

• Bachelor’s degree in Food Science or a related field.
• A minimum of 10-15 years of experience in R&D and sales within a manufacturing environment.
• Fluency in Japanese to communicate effectively with Japanese clients and headquarters.
• Proven ability to lead high-performing teams with strong interpersonal and communication skills.
• Strong understanding of market trends, customer behavior, and the competitive landscape.
• Expertise in formulating and executing sales and R&D strategies aligned with business goals.
• Solid financial acumen, including budgeting, forecasting, and cost management.
• Excellent problem-solving, decision-making, and strategic thinking skills.

We’re Hiring For 2025: Join Our Expanding Education Centre!

As we continue to grow and expand, we’re looking for passionate and dedicated educators to join our team. With plans to open more centres, this is an exciting opportunity to be part of our journey and help shape the future of education.

Who We’re Looking For:

- Enthusiastic and innovative educators

- Strong communication and collaboration skills

- Ability to create an engaging and inclusive learning environment

- Relevant qualifications and experience

Why Join Us?

- Growth Opportunity: Be part of an expanding network with room for professional development and career advancement

- Work-Life Balance: Enjoy a flexible schedule with 4 weekdays and 1 weekend day of work each week

- Leave Flexibility: No block-out periods for leave—take time off when you need it

- Competitive Salary & Benefits

- Access to modern teaching resources and a culture that values creativity and inclusivity.

Candidates must have the following criteria:

• Has excellent communication skills and thrives in a team environment.

• Energetic and engaging classroom delivery.

• Bachelor’s Degree from a reputable university.

• Excellent academic track record particularly in Science.

• Good understanding of Singapore primary school Science syllabus.

• Prior teaching experience (Teaching in MOE schools, learning centres, private tuition)

Ready to make an impact in a dynamic, growing education centre? We’d love to connect with you!

To Apply:

Please send your CV and cover letter to [email protected]

**We only seek candidates familiar with the Singapore curriculum and assessment systems. Only shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on reliability analysis of a floating tidal-wave energy system. Candidates with expertise in reliability analysis and dynamic analysis of floating structures are preferred.

Job Requirements

• Possess a recognised PhD degree in offshore engineering, or a related discipline.
• Strong writing and communication skills
• Good publication record is advantageous
• Open to fixed term contract

Location: Singapore
Department: Research & Development (R&D)
Reports to: Chief Executive Officer (CEO)
Employment Type: Full-Time

KEY Responsibilities:

1. Research & Innovation:

• Lead research initiatives focused on underwater robotics, including navigation, machine learning algorithms, and sensor integration.
• Drive innovation to enhance the performance, autonomy, and efficiency of Roverclean and future robotic products.
• Stay ahead of industry trends, emerging technologies, and advancements in underwater robotics.

2. Product Development:

• Oversee the development and improvement of Alicia Bots’ underwater robotic systems.
• Collaborate with cross-functional teams, including software, mechanical, and electrical engineers, to ensure seamless integration of robotics solutions.
• Evaluate technical feasibility and scalability of proposed robotic solutions.

3. Team Leadership:

• Build, mentor, and lead a high-performing team of robotics engineers and researchers.
• Foster a collaborative and innovative work environment.
• Provide technical guidance and ensure team alignment with company goals.

4. Strategic Planning:

• Develop and execute a long-term R&D strategy for underwater robotics in alignment with company objectives.
• Define research priorities, set milestones, and monitor project timelines and deliverables.

5. Collaboration & Partnerships:

• Build strategic partnerships with academic institutions, research labs, and technology partners.
• Represent the company at industry conferences, workshops, and technical forums.

6. Technical Documentation:

• Ensure accurate and thorough technical documentation for all research projects and product developments.
• Prepare technical papers, reports, and patents where applicable.

Qualifications & Experience:

Education:

• Bachelor's or Master’s in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or a related field with a focus on underwater systems or marine technology.

Experience:

• Minimum 5-10 years of experience in underwater robotics research or robotics product development.
• Proven track record of leading R&D teams and delivering successful robotic systems or projects.
• Experience with underwater navigation systems, sonar technologies, and AI/ML integration in robotic systems.
• Previous experience in the maritime, offshore, or defense industries is preferred.

Technical Skills:

• Proficiency in robotics control systems, underwater communication systems, and sensor technologies.
• Strong programming skills in languages like C++, Python, or ROS (Robot Operating System).

Soft Skills:

• Strong leadership and mentoring abilities.
• Excellent problem-solving and analytical thinking skills.
• Effective communication and interpersonal skills.
• Ability to work collaboratively across departments and international teams.

What We Offer:

• Competitive salary and performance-based incentives.
• A dynamic and innovative work environment.
• Opportunities for professional growth and technical leadership.

Exposure to cutting-edge maritime technologies and global industry leaders.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant for Saw Swee Hock School of Public Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to model the impact and cost-effectiveness of contact-transmissible infectious diseases. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on other infectious disease analyses.

Job scope:
• To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals;
• To develop and extend mathematical and economic models of contact-transmissible infectious diseases.
• To support ethics applications;
• To contribute to peer-reviewed publications and other outputs, including as lead author;
• To collaborate with modellers, economists, and epidemiologists at NUS and other institutions.
• Contribute to drafting grant proposals and co-authoring publications.
• To review the latest research on contact-transmissible infectious diseases regularly.
• To disseminate research findings through presentations at international conferences and meetings with key partners (e.g., WHO).
• To contribute to the broader research community through journal and grant reviews.
• To participate in mandatory NUS training and keep abreast of advancements in research methods.

Requirements:
• Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.
• Experience with quantitative research, preferably related to infectious disease modelling.
• Strong analytical and data management skills using electronic medical records, clinical trials, and observational data.
• Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++, Python).
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a team.
• Strong organizational skills and time management.

The following knowledge and experience would be advantageous:
• Experience contributing to research grant applications.
• Experience with teaching and assessment (desirable but not essential).
• Experience with epidemiological modelling of infectious diseases (especially sexually transmitted diseases).
• Experience with data analysis using statistical inference techniques.
• Experience with health economic evaluations.
• Experience with parallel and/or high-performance computing.

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

Interested applicants are invited to apply directly at our NUS career portal and submit the following documents by 15 Feb 2025:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

For further enquiries, please contact Dr Kiesha Prem ([email protected]).

Please note that only shortlisted candidates will be contacted.