A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.

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. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

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:

• The candidate will work for the project to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve transportation related problems:
• Develop mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles
• Conduct computer programming to verify the efficiency of the designed solution algorithms
• Conduct survey to better understand the travelers’ perception towards the new technology based public transport services
• Analyze data acquired from the field survey
• Develop mathematical models to predict passenger demand for public transport services with autonomous vehicles

Job Requirements:

• Preferably PhD in computer engineering, transportation engineering or related field.
• Expertise in computer programming
• Knowledge in urban transportation studies, traffic flow theory, operation research
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Excellent teamwork and verbal, written communication skills
• Independent, highly analytical, proactive and a team player
• 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.
• 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.

Responsibilities:

• Conduct cutting-edge research and development in speech/audio foundation models.
• Research, design, develop, and evaluate generative models.
• Conduct research to integrate Large Language Modeling into speech and audio generation (Neural Tokenizers, Large Language Modeling, etc.).
• Identify key research areas and contribute to innovative speech/audio models.
• Design and curate large-scale, high-quality datasets with multi-team efforts.

Qualifications:

• Major in computer science, mathematics, engineering, a related field, or equivalent professional experience.
• 2+ years of internship or full-time experience in one or more areas of machine learning and deep learning, including but not limited to:Speech/Vocal generation (including text-to-speech, singing-voice-synthesis, prosody transfer, etc.)
  Audio generation (including text-to-music, etc.)
  Large scale speech/audio self-supervised representation learning and foundation models
  Large Language Model pre-training and fine-tuning
• Deep knowledge of deep learning and generative models (Diffusion, Flow Matching, AR Transformer, Mamba, VAE, GAN, etc.).
• Self-driven, innovative, collaborative, with strong communication and presentation skills.

Preferred Qualifications:

• Ability to work collaboratively in fast-paced, startup environment.
• Strong publications in top-tier ML/Speech conferences/journals (e.g., NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH).
• Deep understanding of Large Language Models.
• Familiarity with different variants of diffusion models, such as Flow matching, DDIM, etc.
• Familiarity with large-scale distributed training.
• Knowledge of engineering principles and best practices.
• High proficiency in algorithms and programming; strong coding skills in Python.

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

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.

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Associate to build the IoT hardware platform and design new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Design and develop hardware systems for IoT.
• Participate academic activities
• Assist in on-site experiments and data acquisition in application environment.
• Develop algorithms for spectrum optimization, blockchain and edge computing.
• Publish high-level academic papers
• Collaborate with other team members to build satellite IoT testing systems and draft research report.

Job Requirements

• Master or PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

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

Research and development (R&D) managers qualifications, including:

• Education: A bachelor's or master's degree in a relevant field, science or technology
• Experience: two years of experience in R&D roles
• Communication: The ability to communicate with various departments across the business
• Leadership: The ability to lead a staff
• Technical expertise: The ability to document and interpret complex requirements
• Innovation: The ability to develop new products, improve existing processes
• Business sense: An understanding of both business and science

R&D managers are responsible for planning and executing strategies to foster new ideas and advancements. A compelling CV for this role should demonstrate a balance of creativity, strategic thinking, and leadership skills

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

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

We are looking for experienced individuals with a strong background in computational modelling, thermal energy systems, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced computational techniques and thermal energy storage solutions, focusing on discovering novel materials and optimizing energy systems through machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

Key Responsibilities:

• Work closely with colleagues to ensure the requirements of the research project are met
• Conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development
• Use artificial intelligence (AI) techniques for material discovery and/or device design
• Use 3D printing techniques to fabricate phase change materials (PCM) composites
• Assist in experimental works or other required works by the PI
• Use data science techniques to process experimental results
• Write scientific papers/technology/reports and other work-related documents
• Develop machine learning algorithms for material discovery and novel heat exchanger design to seamlessly integrate PCMs into thermal systems.
• Fabricate PCM composites with optimized geometries through 3D printing technologies.

Job Requirements:

• Master's degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

We regret that only shortlisted candidates will be notified.

NTi Technology is a subsidiary of NTi Memtech Pte Ltd. We are a technology company specializing in membrane material research and development, membrane product manufacturing, membrane technology applications and services. NTi has its own fully equipped membrane R&D center and manufacturing base in Singapore to produce high-performance hollow fiber membranes.

Currently, we are looking for engineering, science, business and manufacturing interns with interests in membrane marketing, research, product development, and production.

We Offer:

• Hands-on experience in a full-scale membrane manufacturing facility, from research to production to delivery.
• Mentorship and training from experienced professionals in the field.
• Exposure to industry-standard practices and technologies.
• A supportive and collaborative work environment.

1. Membrane Research Intern:

Responsibilities and duties:

• Support and assist in QC inspections for daily membrane production (lab works).
• Maintain quality-related documentations (soft & hard copy) including SOPs, check lists, reports, etc.
• Support and assist in the testing for new membrane products.
• Assist in the Maintenance and calibration of lab equipment.
• Other related duties assigned.

Requirements:

• Familiar with handling chemicals.
• Strong hands-on capability and independent in performing experiments such as i) general chemical experiments; ii) how to use basic lab equipment like weighing balance, pH meter, pipette and etc; iii) laboratory safety practice. For any other equipment like FTIR, UV-Vis and TOC , they will be trained before they can operate.
• Good understanding of safe lab practice.
• Good written and spoken communication skills. Ability to communicate with equipment and material suppliers/ manufacturers based in China would be advantageous.
• Good team player, self-driven and meticulous.
• Year 3/ Year 4 students are preferred.

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Fellow to be involved in research and development for the IoT hardware platform and new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Participate in academic activities and system design
• Prepare report and publish high-level academic papers
• Collaborate with other team members to be involved in satellite IoT testing

Job Requirements

• PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

We regret to inform 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 successful candidate will work with Professor Barbaros Oezyilmaz under a project on Spin triplet superconductivity in van der Waals heterostructures.

Applicants should have a Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines and strong background in low-temperature device physics. The successful candidate will be working in state-of-the-art research environment and receive internationally competitive salary packages.

Our group has extensive experience in the fabrication and characterization of van der Waals heterostructures based on magnetic and superconducting layered materials. To support our ongoing work, we are looking for a new team member with extensive experience in low-temperature magneto-transport measurements. The candidate is expected to do research on spin triplet generation and characterization by introducing an additional layer of a magnetic semiconductor into existing heterostructures to realize spin mixing.

The main responsibilities of the position include:

1. Design and development of magnetic tunnel junction or spin valve.
2. Nano fabrication (e.g., stacking of van der Waals heterostructures, e-beam lithography, nano deposition) in clean room.
3. Low-temperature electrical characterization of superconductors/semiconductors.

Qualifications

• Qualifications / Discipline:

1. Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines

2. Excellent English communications

• Skills:

1. Nanofabrication

2. Low-temperature measurement

3. Device physics

• Experience:

1. More than 4-year experience in clean room environment

2. More than 2-year experience in graphene or other related 2D materials

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Explore related work in TEE-enabled AI applications.
• Build and implement techniques to guarantee the security of the AI applications while minimizing the impact on their accuracy and efficiency.
• Evaluate the techniques on relevant datasets.
• Write reports/papers on the techniques and results.

• Bachelor or Master degree in Computer Science, Information Technology, Cybersecurity, or closely related disciplines from an institution of higher learning
• Relevant research experience in machine learning, computer vision, or natural language processing
• Excellent knowledge/proficiency in programming software/languages such as PyTorch is required
• Demonstrated experience and know-how on machine learning, computer vision, or natural language processing. Research experience on foundation models and/or TEEs is a plus.
• Good analytical, technical and problem solving skills
• Applicants with research publications in top AI venues will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

We are seeking a highly motivated and innovative postdoctoral researcher to join our dynamic team at the School of Materials Science and Engineering, Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of 3D printing, optics, sensor, with a focus on materials for optical waveguides and other optical devices.

Key Responsibilities:

• Conduct independent research related to optical waveguide materials and engineering.
• Optimize formulations for UV 3D printing and direct ink writing 3D printing.
• Contribute to ongoing research projects in optics and photonics.
• Design and prototype using CAD software and 3D printing technologies.
• Collaborate with faculty and researchers on interdisciplinary projects.
• Publish research findings in peer-reviewed journals and present at international conferences.
• Assist in mentoring graduate and undergraduate students.

Job Requirements:

• Ph.D. in Material Science, Chemistry, Sensors, or a related field.
• Strong background in formulation for 3D printing.
• Experience with optimization of ink formulation for 3D printing.
• Demonstrated expertise in optics research.
• Proficiency in CAD software and 3D printing technologies.

Desired Skills:

• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with machine learning and AI applications in engineering.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively within a team.

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

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

We are looking for a Research Fellow to drive innovation in soft and stretchable electronic systems by addressing critical challenges in interconnect design, enabling their extensive deployment in advanced applications. The role involves leveraging expertise in flexible electronics, modular soft robotics, and artificial neuron systems to develop intelligent, adaptive technologies that integrate sensing, data processing, and actuation capabilities. The aim is to contribute to the creation of robust, scalable solutions that advance the field of soft interconnects and intelligent devices.

Key Responsibilities:

• Conduct research collaboratively with team members to ensure the timely completion of project deliverables.
• Design, develop, and fabricate soft interconnects for stretchable electronic devices, enabling their integration into functional systems such as wearable and robotic platforms.
• Collaborate with internal and external stakeholders to advance the deployment of next-generation flexible and stretchable electronic systems.
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences.
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD degree in mechanical engineering, mechatronics engineering, or related field.
• At least 4 years of relevant experiences in soft robotics
• Expertise in soft robots, actuators, mechanical sensors, strain sensors, flexible electronics.
• Proficiency in mechanical testing, electrical testing, materials characterization, system integration
• Good written and oral communication skills
• Capable of design and assemble of device prototypes.
• Candidates with publications in top-tier scientific journals are preferred.

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

Regional Sales Manager

• Location: Science Park Road
• Working Days: 5 Day A Week
• Working hours : 9:00am - 6:00pm
  Salary : USD 4,583 - USD 6,375 (Annual salary USD 55,000 - USD 76,500) - excluding commission

Responsibilities:

• Build and execute a strong sales strategy for New Business growth in the territory and achieve KPIs
• Generating and qualifying opportunities for for Sales and/or create new opportunities for business growth.
• Work closely with cross team members such as Inside sales/Marketing and self research to identify and engage prospects
• Build and execute a strong sales strategy for New Business growth in the territory and achieve KPIs
• Building and maintaining strong professional relations with existing customers through regular CRM activities.
• Delivery on revenue accountability with Pipeline creation, progression and timely closure, working with manager and cross team members
• Building and maintaining strong professional relations with existing customers through regular CRM activities.

Requirements:

• 5+ years of SaaS sales experience preferred with a strong track record of closing new business deals and growing accounts
• A self starter who can generate leads and establish a structured sales methodology and process including opportunity validation, pursuit and closure. This includes a sales operating pace, providing accurate forecast and pipeline updates to the business stakeholders
• Perform business development-related work as an ambassador of company in the Subsidiary
• Proficiency in Microsoft Office (Outlook, Excel and Word) and CRM usage such as Zoho CRM softwar/ Zoho Campaigns Manager.
• Prior experience CEO level software solution selling is essential.
• Ability to work with all levels of professionals within a business including key business decision makers like Owner/CEO, Directors, Business Managers, IT Managers and Solution Architects.

Whatsapp +6588278652 (Hym)

Goh Hym Yien Reg No: R24121939

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Contract Period:

• 2 Jan 2025 to 31 Dec 2025 (12 Months) + 1 Year Optional renewal by school.

Deployment:

• Mondays to Fridays: 8.30am to 2:00pm, inclusive of 0.5hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a unique interdisciplinary Research Centre of Excellence (RCE), funded by National Research Foundation, Ministry of Education, Nanyang Technological University (NTU) and National University of Singapore (NUS). Hosted by NTU in partnership with NUS, SCELSE is linking new insights from the life sciences with expertise from emerging technologies in engineering and natural sciences to understand, harness and control microbial biofilm communities.

We are seeking to appoint a motivated individual to join our team at SCELSE as a Research Fellow. The successful candidate will lead projects that focus on obtaining a detailed molecular mechanistic understanding of microbial biofilm development, and microbe-microbe interactions, in settings relevant to food spoilage and the food chain. The selected candidate will work independently, with other team members, and with collaborators to perform both in vivo and in vitro experiments to address specific scientific questions related to biofilm development/community interactions in these settings.

Key Responsibilities:

• To plan, perform and document laboratory experiments to study biofilm development and community interactions.
• Work closely with the Principal Investigator to analyse and interpret data, troubleshoot experiments and write manuscripts on research outputs.
• To train students/staff in the lab in relevant techniques and contribute to co-supervision of some of these team members.

Job Requirements:

• PhD in biology, biomedicine, microbiology or a related field.
• Experience in general microbiology processes is essential.
• Ability to design, plan, and execute experiments independently is essential.
• Experience in biofilm research is desirable but not essential.
• Experience with metagenomics, metabolomics and fluorescence microscopy is desirable but not essential.

** Initial contract duration for 12 months, with the potential for extension.

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

The National University of Singapore – which is the top ranked university in Asia – is recruiting full-time Practice Track faculty staff at the Associate Professor or Professor ranks for the Saw Swee Hock School of Public Health (SSHSPH).The Practice Track is a non-tenurable track, open to scholar-practitioners with professional skills and expertise in industry to complement the existing teaching and research expertise of the University. At first and subsequent reappointment, the contract offered may range from 1 to 5 years.

New faculty members may be eligible for subsidised university accommodation, in addition to an attractive salary and benefits package.

The successful candidate will be expected to contribute to education, faculty development, and service, and complement the research efforts of the Faculty/School where appropriate. In particular, the successful candidate will be expected to contribute significantly to the School’s Master programme and public health practice-related research collaborations with the Ministry of Health Singapore and other stakeholders in Singapore’s health system. They are also expected to contribute significantly to the outreach activities of the School. These include executive education and collaboration with relevant institutions which will enhance the reputation of the Faculty/School.

Researchers active in one or more of the following areas are particularly encouraged to apply:

• Economic evaluation of public health interventions and/or health technologies;
• Comparative effectiveness analysis including systematic review, meta-analysis, and analysis of real-world evidence;
• Economic theories to support healthcare resource allocation or priority setting.

Qualifications

• At least 6 or more years’ of practice experience at a senior level in a managerial, professional or specialist role with demonstrated leadership in the profession;
• Track record of leading and completing high-impact public health-practice related projects;
• Ability to generate and maintain an independent stream of research funding;
• Ability to teach public health courses at both undergraduate and graduate levels;
• Ability to work in multidisciplinary teams;
• Ability to work with culturally diverse populations.

Responsibilities

Responsibilities include:

• Administrative leadership and teaching in the Master programme;
• Graduate student advising;
• Contributing to policy/community development in the field of public health;
• Establishing an independent research agenda through extramural funding.

More Information

To apply, please submit a cover letter specifying your research and/or teaching interests and experience, your curriculum vitae, names and contact details of 3 references.

For more information on NUS please visit: www.nus.edu.sg. For more information about the Saw Swee Hock School of Public Health please visit www.sph.nus.edu.sg.

Please note that 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

We are looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:

• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• Open to Fixed Term Contract

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

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 looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:

• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• Open to Fixed Term Contract

Senior Testing Engineer

As part of IME’s Photonics & Sensors Department, the candidate will take lead for the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices
• Manage photonics laboratory including facilities management, health and safety, equipment calibration, inventory and stocktake
• Take on procurement duties for laboratory equipment and consumables
• Prepare technical presentations for internal meetings

Qualifications:

• Bachelor’s degree in Physics, Electronic/Electrical Engineering or equivalent
• Experience in optical/photonics device testing
• Experience in experimental data acquisition and analysis
• Critical thinking and problem solving ability
• Strong skills in communication and providing technical presentations
• Values teamwork and fostering a collaborative spirit
• Skillset in programming or instrument automation is a plus

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting AI research on career trajectory analytics. Successful candidate will be part of an active research team led by Prof LIM Ee Peng from School of Computing and Information Systems, Singapore Management University.

• Code development
• Database management
• Data analysis and visualization
• Experiment design and implementation
• Software documentation
• Meeting arrangement
• Presentation
• Report writing

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Relevant research experience is preferred
• Proficiency in programming in Python and related packages
• Knowledge in large language models, databases (including SQL), NLP, and machine learning.
• Experience with research works is preferred
• Good analytical, technical and problem-solving skills
• Applicants with research publications in AI or NLP area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

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 position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• Open to fixed-term contract.