We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references.

Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition algorithms to solve complex problems and improve project outcomes. You will work closely with a multidisciplinary team to develop, implement, and optimize ML models that are critical to the success of our projects.

• Design, develop, and deploy machine learning models and image recognition algorithms tailored to project-specific requirements.
• Collaborate with cross-functional teams to understand project needs, gather, and analyse requirements, and deliver ML-driven solutions.
• Conduct data collection, preprocessing, and augmentation to create training datasets.
• Implement and optimize image recognition models for accuracy, efficiency, and scalability.
• Evaluate model performance using appropriate metrics and make necessary adjustments to improve outcomes.
• Stay abreast of developments in machine learning and image recognition fields to incorporate cutting-edge technologies and methodologies into project solutions.
• Document model development processes, algorithms, and performance metrics.
• Provide technical guidance and mentorship to team members on machine learning and image recognition best practices.

Required/Desired Skills

• Experience in machine learning and image recognition, with a strong portfolio of project work that demonstrates expertise in these areas.
• Proficiency in programming languages such as Python, and familiarity with ML libraries (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Experience with deep learning architectures (CNNs, RNNs, GANs) specifically designed for image processing tasks.
• Analytical skills with the ability to solve complex problems independently and as part of a team.

Required/Desired Qualifications

• Bachelor’s or master’s degree in Electronics & computer science, Artificial Intelligence, or a related field.

Experiences

Minimum 3 years’ experience in machine learning and image recognition within a technology/research organisation. Fresh graduate with relevant knowledge and skills will be considered.

The TMIG group under School of Materials Science & Engineering is looking to recruit a high-caliber senior research fellow, who will be a part of an international team addressing a major concern of antibiotics usage in cellular agriculture research and development stages in the industry. The purpose of the project is the development of non-antibiotic mitigants that will be safe to use and approved by regulators.

Experience in developing microfluidics-based delivery system. biocompatible soft materials, nanoencapsulation, microfluidics and lipid nanoparticle research are some of the preferred requirements for this position. This role will also provide opportunity to lead and develop sub-projects, in-line with the vision of the program which is the development of broad-spectrum and targeted mitigants for industry representative bacterial targets.

Key Responsibilities:

• Design and characterization of broad-spectrum lipid, peptide, and glycan-based mitigants
• 3-D scaffold fabrication using new bio-materials and characterization of the same
• Design, post-processing, and biomimetic cell culture environments for 3D scaffolds
• Scalability and reproducibility of bioactive 3D scaffolds for large-scale manufacturing
• Critical interpretation and application of experimental results
• Collect and prepare data/ information/ proposal required for research-related grant call process
• Gather information/ data and prepare documents for reporting/ papers
• Assist in and deliver training new team members with relevant laboratory/ technical skills

Job Requirements:

• Ph.D. degree in Bioengineering/Materials Science/Chemistry/Chemical Engineering
• Strong experimental skills, especially proficient in functional materials fabrication, fabrication of micro/nanoparticles, functionalizing biocompatible materials, and associated methods.
• Excellent communication and organizational skills while hard-working and able to meet tight deadlines
• Able to work independently in gathering information/ data and prepare documents for reporting/ papers
• Willing to contribute team services like sharing/ coaching new members with relevant laboratory/ technical skills

We regret that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. Computational resources are available through a dedicated cluster and collaboration with the High-Performance Computing Centre of NTU. In addition, EOS hosts state-of-the-art analytical facilities for petrological and geochemical analysis, and a Community Engagement office that co-creates learning opportunities for a range of audiences to promote a safer and more sustainable future.

EOS is looking for ambitious, highly motivated Research Fellow (post-doctoral scholar). The successful candidate will work under the supervision of Prof Adam Switzer to investigate various approaches to future tropical cyclone prediction in the Asia Pacific and apply novel statistical techniques to enable policymakers and planners to understand plausible worst-case scenarios with the rising sea-level and changing climate. We're looking for a collaborative individual with a passion for learning, who would enjoy working with people from a wide range of disciplines, with a goal to connecting the dots between the components.

Key Responsibilities:

• Conduct computer simulations by modelling components of sea-level rise, cyclogenesis and their inter-dependencies.
• Interface with climate modeling experts and insurance industry partners on the relevant data for modeling and analysis of future cyclone risk.
• Manage, analyse, and interpret complex datasets, employing the latest methodologies and tools for accurate and efficient data processing.
• Engage in close collaboration with experts across diverse disciplines, integrating various datasets to enhance the understanding on scientific prediction of sea-level rise.
• Develop key case studies that can inform and support policy decisions, emphasizing practical applications of research findings in risk management and mitigation strategies.
• Prepare research outputs in formats accessible to policymakers, risk stakeholders, and the broader community, ensuring clear and effective communication of complex scientific information.
• Present, publish, and communicate research results in scientific meetings, scholarly journals, and other relevant platforms, contributing to the broader scientific discourse.
• Provide guidance and support to junior team members, students, and research assistants, fostering an environment of learning and professional growth.

Job Requirements:

• Ph.D. in Coastal Engineering, Climate Science, or another related field.
• Post-doctoral experience is an advantage.
• Strong fundamentals of climate variability and change, geoscience and atmospheric science, physical oceanography, and meteorological observations.
• Expertise and interests in climate modelling, data analysis, and statistical methods.
• Track record of publishing research relevant to the position in international recognised journals.
• Evidence of excellent communication skills.
• Evidence of independence in research direction and team spirit.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

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

Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities

• Study correlated twisted materials and other topological quantum materials with strong correlations
• Predict nonlinear responses of quantum materials
• Provide theoretical support for our experimental collaborators
• Work collaboratively and train junior lab members

Job Requirements

• PhD in Physics
• Self-motivated with solid background in group theory
• Related research experience in topological quantum materials
• Able to work as a team and independently in an interdisciplinary team
• Published at least 1-2 publications as a first author in top international peer-reviewed journals

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information).

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

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a Research Fellow with strong expertise and publication record in algebra, combinatorics, finite geometry, or a closely related area of mathematics.

Key Responsibilities:

• Propose methods to tackle open problems concerning optimal configurations in finite geometry
• In cooperation with PI and Co-PI, carry out numerical studies to identify promising directions for constructions and nonexistence results for equiangular tight frames
• Produce mathematical proofs for conjectures that arise from numerical studies

Requirements:

• PhD in mathematics
• Deep knowledge in algebra, combinatorics, finite geometry, or a closely related area of mathematics
• Good track record of publications in algebra, combinatorics, finite geometry, or a closely related area of mathematics

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

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 looking for a Research Fellow who will be responsible for performing laboratory research to explore various aspects of how eDNA is produced and utilised in biofilms. The selected candidate will work independently or in a small team to plan and perform experiments to address specific scientific questions.

Key Responsibilities:

• Assist with general laboratory management tasks to support the research group
• Assist with planning, performing and documenting laboratory experiments using methods such as in vitro biofilm models, advanced microscopy, genomics and molecular microbiology.
• Work closely with the Principal Investigator to analyse and interpret data, as well as troubleshoot experiment
• Assist with supervision of staff and students
• Participate in group meetings and prepare project updates.

Job Requirements:

• PhD in biology, biomedicine, microbiology or a related field
• Experience in microbiology techniques is essential
• Experience in molecular biology is desirable but not essential
• Experience in advanced microscopy techniques is desirable but not essential
• Experience in biofilm models is desirable but not essential
• Ability to design, plan, and execute experiments under supervision or independently
• Detail-oriented and capable of maintaining accurate records of experiments and results
• Be flexible and open to last-minute changes and variations
• Excellent written and oral English communication skills are essential for research work

We regret that only shortlisted candidates will be notified.

NMR Research Fellow position is open in NTU Center of High Field NMR Spectroscopy and Imaging at Nanyang Technological University (NTU), Singapore.

Job Responsibilities

• Perform day-to-day management of the facility and to provide professional support for the NMR users and collaborators
• Provide technical support
• Carry out trainings in advanced solid-state NMR and solution-state NMR
• Perform instrument maintenance and hardware troubleshooting
• Participate in research projects

Job Requirements

• PhD from renowned university in the field of biochemistry/biophysics, chemistry, material sciences or related fields
• Previous experience with solid state NMR is a plus
• Should have a passion for basic research, NMR development and application, and is expected to participate in research projects

Opportunities of getting extensive training in solid and solution NMR will be provided to the successful candidate.

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

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

The CLIC program is seeking one full-time Research Assistant (with potential opportunities for reappointment). The research assistant will support research activities focusing on cognitive flexibility and learning, and training-related brain changes among adults and adolescents. Given the highly inter-disciplinary nature of the project, the research assistant will be expected to take on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy.

Key Responsibilities:

• Support the recruitment of approximately young adults (18 – 30 years) from vocational institutions (e.g. ITE, polytechnics and universities) as well as from the general working population via community sampling (e.g. community centres, clinics, via social media platforms).
• Organize the collection of datasets
• Overview and standardize protocols for data coding, data entry and data analysis for the datasets
• Assist with the preparation of conference presentations journal papers
• Other administrative duties

Job Requirements:

• Bachelor degree in Psychology, Neuropsychology, Cognitive Neuroscience or a related discipline
• Prior experience in conducting adult cognitive testing and neuroimaging (fMRI, EEG)
• Prior experience with participant recruitment processes
• Prior experience and familiarity with data management protocols and ethical regulatory frameworks in Singapore
• Experience in performing general administration tasks for research projects
• Experience in producing research reports
• Good statistical knowledge and skills, including familiarity with statistical analysis software such as R and SPSS
• Good IT skills (Office®)
• Strong interpersonal, written and verbal communication skills
• Excellent organizational skills and able to work within given deadlines
• Excellent time management and organizational skills.

We regret that only shortlisted candidates will be notified.

Please apply by uploading your CV and academic transcript to NTU job portal link.

If you have any questions, please feel free to reach out to us at [email protected].

The duration of this Research Fellow position is from 2 January 2025 to 31 December 2025.

Job Description

We are seeking 2 Research Fellow (RF) positions to carry out research activities in a multidisciplinary topic to understand the physics of 2D materials based electric contact, photonics and electronics over a wide range of conditions. The activities include one or more of the following topics.

1. Multidimensional modeling of AC contact resistance for vertical and edge contact.
2. Quantum effects in Maxwell equations in nanometer scale dimensions
3. Quantum transport of 2D materials under light-matter excitation
4. DFT modeling of metal-insulator transitions at different temperatures
5. Photoemission and light-matter interaction of 2D materials

Job Requirements

Applicants for this RF position should have at least a PhD degree (within 3 years) in Physics, Applied Mathematics, Electrical Engineering or Material Science. The preferences are for candidates who have significant research experience with good publication records. The technical requirements are:

• Strong skill in mathematical modelling and numerical methods
• Strong in quantum mechanics, solid-state physics, and Maxwell equations
• Experience in using simulation software.

Job Title: Research Assistant (Design Innovator) in the Design Innovation team of SUTD

Description:
As a Design Innovator, you will play an important role in the successful realisation of DI projects and programs. Key components of the job are design competencies, in particular those involving users, user needs, conceptual design, prototyping, industrial design, analytical design, digital design, data-driven design, and user validation, and the ability to liaise with internal and external partners and stakeholders on a regular basis.

You will be part of the Design Innovation team and are expected to contribute to its vision, aims and programs - Design Education, Design Guidance, and Design Incubation – as well as design research, with an emphasis on Design Guidance. You are also expected to participate in SUTD events, support the organization, and support the work of other members of the DI team, as and when required.

If you imagine and dream of an employment opportunity with empathy, creativity, mindfulness, inclusivity, passion, autonomy, daring, and excellence in outcomes at its heart and soul, then this is the opportunity for you. Its realization depends on your willingness to embrace and grow boundlessly within these characteristics and mindsets.

Areas of Focus:

Design Guidance Projects

• Support and/or co-lead projects contributing industrial design, design engineering, systems design or product-service-systems development skillset.
• Mentoring and co-creating in innovation projects with public and private external partners and teams.
• Depending on background and skill sets, develop user experiences (UX), user interfaces, digital solutions, and data-driven solutions for and with external and internal partners.

Design Innovation Workshops and Education, Embedding Design

• Work with the DI Director to engage key stakeholders.
• Facilitate Design Innovation workshops and educational modules.
• Grow into role lead facilitator or co-lead for workshops.
• Develop Design Innovation content for delivery in workshops and education modules.
• Engage external partners to embed, catalyze, and grow design in their organizations.

Skillset:

Industrial Design:

• Develop concepts and prototypes for physical products, considering aesthetics, ergonomics, materials, and manufacturing processes.
• Conduct research on user needs, market trends, and competitor analysis to inform design decisions.
• Create detailed technical drawings and specifications for product development.

UX-UI Design:

• Design intuitive and user-friendly digital interfaces for web and mobile applications.
• Conduct user research, usability testing, and gather feedback to inform design iterations.
• Develop wireframes, user flows, and interactive prototypes to visualize and validate design concepts.
• Collaborate with software developers to implement UI designs with attention to technical feasibility.

Visual Communication Design:

• Create visually compelling graphics, illustrations, and branding materials that align with brand identity and target audience.
• Design marketing materials, promotional assets, packaging, and presentations to effectively communicate ideas.
• Ensure consistency and coherence in visual language across various platforms and media.

Adobe Suite Proficiency:

• Leverage your expert knowledge of Adobe Creative Cloud applications (Photoshop, Illustrator, InDesign, XD, etc.) to execute high-quality designs efficiently.

Others:

• Provide general support to the Design Innovation Team
• Undertake and perform other duties as assigned
• Be involved with partners in pre-workshop/project meetings, discussions and proposals

Requirements:

• You should possess a degree and have practical design experience in areas of relevance to Design Innovation.
• You should be able to work to strict deadlines, apply a user-centred design approach with rigor, deliver high quality studies, concepts and prototypes, and work on multiple projects in parallel.
• You must enjoy being creative and working with a variety of people, have a passion for design, not be afraid to take on challenging tasks, and eager to learn new competencies. The ideal individual will have strong written, visual and verbal communication skills.

About the Design Innovation Team

The Design Innovation team is a group of world-leading interdisciplinary designers, technical professionals, and researchers leading the world of design. The Design Innovation team functions to develop fundamental and ground-breaking results in design science as well as to fulfil the mission of a better world by design through a porous interface with industry, government, and social projects. This interface allows for a seamless integration of empirically grounded design methodologies that directly lead to outcomes with positive impacts at the social, media, and technological levels. The team is highly multi-disciplinary and leverages the ethos of a human-centred design approach with fundamental scientific studies in technology to create solutions to real world wicked problems, opportunities, and grand challenges.

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

The SpiNLab is looking for a Research Fellow, led by Assoc. Prof S.N. Piramanayagam at School of Physical and Mathematical Sciences, Nanyang Technological University. The job involves exploring new physics, methods, materials (devices) and simultaneously exploiting different origins of orbital torque to achieve power-efficient spin-devices in perpendicular magnetic anisotropy materials. The job scope's demands the deposition and development of thin-film stacks and the lithography process for applications in probing new materials for spin-devices. In particular, proven experience in the field of Orbitronics is desired.

Key Responsibilities:

• Deposition and development of magnetic thin films stack
• Development of lithography processes
• Fabrication of micrometer/nanometer sized devices
• Characterization of structural and magnetic properties of materials by various techniques
• Characterization of devices using electron transport measurements and magnetic resonance spectroscopy
• Magnetic texture imaging in the deposited thin films and fabricated devices
• Micromagnetic simulations, physical modelling, and virtual instrument engineering software
• Procurement of lab equipment, consumables, and materials
• Use of analytical programming languages to analyze data
• Mentoring of PhD and Masters/undergraduate students

Job Requirements:

• PhD in Physics/Applied Physics
• Experience in managing the lab, training students, independent working and procuring the lab equipment
• Involved in experimental and simulation (theoretical) work of Orbitronics
• Expertise in sputter deposition technique, relevant characterization tools (like AFM, MFM, VSM, AGM, SEM, MOKE, Ferromagnetic Resonance Spectroscopy and several electron transport measurements equipment), device fabrication processes (lithography, etching etc.) and device measurements
• Expertise in micromagnetic simulations and some prior experience in physical modelling, as demonstrated by past publications
• Proficient in oral and written English is essential to conduct research
• Effective communication and presentations skills, demonstrated by some recognitions in the past conferences
• Good command of the analytical programming language (Python/Matlab) and graphical programming software (LabVIEW)
• Ability to work independently as well as in a team
• Capability to assist PI in training new research students

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

Job Description:

• Work with project Principal Investigator and team members to contribute the development of an effective mineral recovery process from seawater/brine using (photo)electrocatalytic approach.
• Design & synthesis catalysts for ORR, HER, CER reactions.
• Characterization of catalytic properties using advanced techniques.
• Data analysis and manuscript preparation for high impact journal publications or TD.
• Presentation at regular project meetings and summarize results in reports.

Job Requirements:

• PhD degree in Chemical Engineering, Materials Science or Chemistry.
• At least 2 years of experience
• Knowledge in catalysis, material development, and/or (photo)electrochemical process preferred.
• Proactive, team player and good problem-solving skills.
• Data analysis and interpretation skills.
• Excellent oral/written communication.

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.

Basic Functions:

Leads a project for assay design and developments, co-ordinate stability studies and marketing supports (trouble shooting assays).

Duties:

• Plan and conduct experiments according to project plans and keep timelines
• Design and conduct investigations and experiments, record and analyze or interpret the results in support of project development objectives, keep accurate records of work undertaken
• Supervise and support other team members in planning and execute experiments
• Follow standard operating procedures and safety guidelines and maintain a clean and orderly environment
• Engage in continuous learning and skill development
• Maintains and implement ISO 13485 / FDA QSR 21 CFR: PART 820 and other relevant International standards and regulations
• Communicate and collaborate with other professionals in the lab
• Ensure necessary and effective support for operations and marketing on technical issues, customer special requirements, complaint and problem solving
• Assist new product clinical trials and new product transfer and provide necessary supports such as developing procedures and standards for product launching
• Conduct initial review for study protocols & reports and other documents to support R&D projects prior to external review
• Identify process problems, suggests improvements, and initiates trouble-shooting.
• Provide adequate and appropriate training for subordinates
• Assist with lab planning and equipment calibration and maintenance
• Other projects as assigned by department manager

Requirements:

– Ability to: Lead a project team in carrying out the task.

– Knowledge of: : Immunodiagnostics, microbiology

– Education: PhD; MSc/MEng; Good Honors degree; or equivalent.

– Experience: At least 2-6 years of relevant work experiences

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

The Research Associate will provide support to the project, e.g. data cleaning and diarisation, for sociometric profiling modeling.

Key Responsibilities:

• To provide support to the project, e.g. data cleaning and diarisation, for sociometric profiling modeling.
• To assist in development of computational models and sourcing/annotating video data.
• To participate in sourcing for relevant datasets, data collection and experiments to evaluate and benchmark the models under development.
• To assist in writing project reports.

​

Job Requirements:

• Master’s Degree in computer science/engineering or related fields.
• Experience in data collection, and familiarity with human datasets (brain, video, behavioral etc. is a plus.
• Experience in the following programming languages and frameworks: Python, Pytorch, Keras, is a plus.
• Good communication and writing skills
• Excellent teamwork and experience working with research team and/or students.

​

We regret that only shortlisted candidates will be notified.

Duties:

• Start from the design, development, building and qualifying of various lab instruments, the major focus is in Sample Preparation equipment including our featured FastPrep family (homogenizer).
• Develop and fabricate test equipment in line with test specifications under the direction and guidance of direct supervisor.
• Execute tests using test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise, weight etc.
• Collect and analyze test data/results, document results and outcomes.
• Support the design and fabrication/assembly of both working and visual prototype models. Materials include foam, plastics, and various metals.
• Analyze equipment failures and factory work stoppage problems and provide solutions
• Fabricates, repairs, improves designs of and constructs mechanical and electro-mechanical equipment
• Coordinate with outside calibration vendors effectively
• Maintains detailed and up to date test data in laboratory notebook and active test logs
• Support manufacturing ramp up, and design transfer during product development

Requirement:

• Master's Degree and above in Electrical Engineering or Mechanical Engineering
• 5 years of hands-on Mechanical and Electrical experience.
• Possess broad base of knowledge with understanding and skills in the following areas: Electrical, Fabrication, Tool Making, Machining.
• Must be proficient in the use of machine shop equipment and all hand tools including saws, sanders, drills, grinders, press, brake, shear, lathe, milling machine.
• Able to operate test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise and weight.
• Can work from prints, sketches, written and verbal instructions.
• Reads wiring/electrical and piping schematics and engineering drawings.
• Electrical experience/training in use of and design of AC and DC circuits.
• Piping experience and ability to use electrical test equipment and measuring tools necessary.
• Self-motivated, team player with excellent communication and problem solving skills
• Experience and knowledge of the following areas preferred:

1. Rapid Prototyping
2. Testing and Design Controls
3. Installation
4. Design

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

The project aims at assessing the effects of shear flows on turbulent transport in various magnetic configurations. The Research Fellow will be employed and stationed at NTU, and is expected to travel overseas to interact with scientific teams in Europe.

Key Responsibilities:

• Elucidate the effects of shear flows on turbulent transport in fusion plasmas, with the help of theory and simulations, in collaboration with relevant teams in Europe
• Build-up a comprehensive database based on these simulations
• Analyze data with the use of deep learning and dynamic mode decomposition techniques to develop surrogate models
• Compare the outcome of surrogate models with existing experimental data

Job Requirements:

• PhD degree in physics
• Demonstrated experience in computer sciences
• Demonstrated experience in handling large size database
• Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
• Demonstrated track-record of scientific productivity
• Experience of scientific work in an international environment

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

The School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 130 faculty members and an enrolment of more than 4,000, of which close to 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

The research interests of Prof. Lee’s group fall on electric motors and drives, and novel material developments. The proposed applications include electric vehicles, robotics and AMR.

Key Responsibilities:

The Research Associate will work on a project to conduct the research on development of coreless motor system. The roles of this position include:

• Work on a project to conduct the research on development of novel motor drives for coreless motor application.
• Development of new motor topologies, power converters and control algorithms.
• Development of new topologies for electric motor drive with novel structures.
• Development of new power converters for electric motor drives.
• Development of new control algorithms for electric motor drives.

Job Requirements:

• Masters in Electrical and Electronic Engineering or related field.
• Expertise in motor design, control, and fabrication.
• Knowledge in analytical and numerical modelling.
• Publication track record is an advantage.
• Excellent communication skills. (Both written and verbal)

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. This role is open to psychology graduates with strong coding skills in implementing deep reinforcement learning algorithms for predicting eye movements in visual search. Candidates will design and conduct human behavioral experiments while developing neuroscience-inspired AI models. They will also benchmark AI and human visual search behaviors in multi-target foraging tasks, contributing to cutting-edge research at the intersection of psychology and AI.

Key Responsibilities:

• Developing AI models
• Designing and conducting human behavioral experiments
• Mentoring and co-working with lab members in at least 1 research project

​

Job Requirements:

• PhD in psychology is required
• Strong computational background
• Have coding experiences in deep reinforcement learning and deep learning
• Strong neuroscience backgrounds especially in designing and conducting human behavioral experiments
• Able to communicate in English fluently in both speaking and writing as required for research work

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We regret that only shortlisted candidates will be notified.

The Carney lab investigates the cell dynamics in the skeletal system and epithelia. Its analyses have implications for fundamental cell biology, evolution, genetics and clinical underpinnings of disease. Guided by issues facing the clinic, the lab has recently modelled diseases affecting skeletal system and has developed a model of bone necrosis.

We are currently recruiting a Research Associate to work on interrogating a zebrafish model of a clinical bone necrosis. Working closely with a Postdoctoral Research Fellow, the job will include molecular biology, animal husbandry, cloning, transgenesis and genotyping as well as imaging approaches. Furthermore, the applicant will be expected to offer general support in laboratory maintenance tasks, including laboratory supply and inventory control, procurement and routine genotyping and fish line maintenance. The successful applicant will have access to superb facilities and a broad range of scientific technology, reagents, and equipment, within a dynamic, international and multidisciplinary scientific environment.

Candidates should possess a Master degree in Biological Sciences or similar, be highly motivated, with a strong work ethic, initiative and an ability to multitask and learn techniques rapidly. The applicant will also be independent, yet able to work in a close team towards common goals. Good organizational, record-keeping, communication and team-based skills are essential, as is awareness of workplace health and safety requirements. Experience with zebrafish or similar model organisms and molecular cloning techniques will be highly regarded. The candidate must have a demonstrable ability to contribute to manuscript preparation and report writing, including literature scanning database searches and statistical analyses of data.

Key responsibilities:

• Plan and conduct molecular biology experiments
• Perform cell labelling approaches and microscopy
• Image analysis and generation of figures
• Record keeping and statistical analysis of data
• Presentation of data in appropriate medium
• Lab keeping and procurement

Research project: Connecting within-host viral dynamics with the epidemiology of COVID-19: a multiscale computational infrastructure

In this project, we aim to develop a multiscale modeling framework and computational infrastructure to connect within-host viral dynamics/antibody dynamics and between-host transmission dynamics. The multiscale model will help address key epidemiological and public health questions which could not be answered by classic (single scale) approaches. Specifically, we plan to develop and calibrate the multiscale model for SARS-CoV-2 and assess effect of intervention (e.g., antiviral treatment) on epidemiological dynamics.

This project is led by Keisuke Ejima, an Assistant Professor at Lee Kong Chian School of Medicine, Nanyang Technological University.

The Research Fellow primarily leads the project under supervision of PI in the areas of collecting clean data, reviewing literatures, lead model development, lead data analyses, leading the manuscript writing and other areas of the project support.

Candidates should have a Master degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research experience and/or educational background on public health and medicine is a plus but not essential. Computational experience on R and MONOLIX is preferred. Good communication skill and respectful attitude for teamwork. The successful applicant will work as part of a growing and energetic team, focusing on quantitatively understanding biological mechanisms of infection and its impact on both individual and population health.

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in advancing sketch prototype concept creation using Large Multimodal Models (LMMs). This role involves contributing to a groundbreaking project aimed at developing and studying novel means of interaction with state of the art LMMs that the research team will develop.

Key Responsibilities:

• Develop, refine, and deploy our sketching application
• Collect and analyse data from the prototype
• Collaborate with a multidisciplinary team to integrate LMMs into the sketching application.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the design and development of interaction techniques for novel human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in rapid prototyping and human-AI interaction, particularly in LMMs.
• Experience in research methods, statistical analysis, AI and LMMs.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in mental health using AI technologies. This role involves contributing to a groundbreaking project aimed at developing AI-driven tools for mental health support, with a focus on detecting and treating mental health disorders and distress through digital platforms.

Key Responsibilities:

• Assist in the development and refinement of algorithms designed to detect social communication patterns and signs of mental distress.
• Participate in the design and testing of AI models, including data collection, preprocessing, and analysis.
• Collaborate with a multidisciplinary team to integrate AI tools into social media and messaging apps to offer real-time mental health support.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the development of empathetic conversational support systems facilitated by human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in mental health research and AI technologies.
• Experience in research methods and statistical analysis, preferably with exposure to machine learning or natural language processing.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• Prior experience in handling sensitive data and ethical considerations in mental health research is advantageous.

Research project: Connecting within-host viral dynamics with the epidemiology of COVID-19: a multiscale computational infrastructure

In this project, we aim to develop a multiscale modeling framework and computational infrastructure to connect within-host viral dynamics/antibody dynamics and between-host transmission dynamics. The multiscale model will help address key epidemiological and public health questions which could not be answered by classic (single scale) approaches. Specifically, we plan to develop and calibrate the multiscale model for SARS-CoV-2 and assess effect of intervention (e.g., antiviral treatment) on epidemiological dynamics.

This project is led by Keisuke Ejima, an Assistant Professor at Lee Kong Chian School of Medicine, Nanyang Technological University.

The Research Fellow primarily leads the project under supervision of PI in the areas of collecting clean data, reviewing literatures, lead model development, lead data analyses, leading the manuscript writing and other areas of the project support.

Candidates should have a Master degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research experience and/or educational background on public health and medicine is a plus but not essential. Computational experience on R and MONOLIX is preferred. Good communication skill and respectful attitude for teamwork. The successful applicant will work as part of a growing and energetic team, focusing on quantitatively understanding biological mechanisms of infection and its impact on both individual and population health.