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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking an enthusiastic PhD. candidate who can perform experiments (e. g., e-beam lithography, photo-lithography, top-down fabrication techniques, design/building optical characterization setups) and numerical simulations (e.g., FDTD, RCWA, and so on).

Qualifications

• Possess a Ph.D. Degree in either Electrical or Mechanical Engineering.
• Qualified experimental, simulations skills.
• Open to Fixed Term Contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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 aim to develop advanced AI models for creating cardiac digital twins, i.e., personalized virtual heart models. We will employ the dataset (imaging, ECG, electronic medical records, etc) collected from patients, to accurately modelling the anatomy and simulate the function of patients' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a patient's heart condition. The research will delve into the intersection of AI and cardiac sciences, exploring novel approaches to revolutionize our understanding of the human heart. With the potential to impact medical treatments and technology advancements, it promises an exciting and important avenue for personalized medicine. We will collaborate with a multi-disciplinary team, including academics/ experts from NUS, University of Oxford, University of Southampton, Imperial College London, Fudan University, etc.

The selected Research Assistant will be required to:

• Collect, preprocess, and analyze clinical data.
• Develop neural surrogate model for efficient cardiac simulation.
• Write well-documented code for experiments, ensuring reproducibility and efficiency.
• Write and submit research articles to top-tier peer-reviewed journals and conferences.

Qualifications

• Possess a recognised bachelor’s degree in biomedical engineering, computer science, data science, applied statistics/ mathematics, or any-related field.
• Strong problem-solving abilities and learning capability.
• Proficiency in programming (Python, C++, etc)
• Strong written and spoken communication and comprehension and able to present results clearly.
• First-authored relative publication in top-tier journals and conferences are preferred.
• Being self-motivated and enthusiastic about AI for healthcare.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on resolution of batch effects in antibody and microRNA profiling data for an esophageal squamous cell carcinoma (ESCC) project.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Familiarity with analysing omics datasets
• Understand the interplay between batch effects and missing values
• Knowledge of methods for resolving batch effects
• Ability to make robust analysis in the presence of batch effects

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with a minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

LEVELS DEPENDS ON EXPERIENCES: Teacher / Senior Teacher / Lead Teacher

Job Description

· Collaborate with cross-functional teams such as Mechanical Engineers, Test Engineers, Lab Technicians, and Project Engineers to execute ocean basin model testing projects, such as floating offshore wind projects.

· Analyse and comprehend project requirements related to hydrodynamic testing, model instrumentation, and data acquisition.

· Select and implement suitable data acquisition systems, control system design, and develop software architecture specific to ocean model testing needs.

· Develop and maintain application software for new ocean basin test setups and custom test requirements.

· Upgrade existing software systems to accommodate new test protocols or methodologies for ocean model testing.

· Choose appropriate sensors for wave, current, and motion measurements, ensuring seamless integration with control systems and software.

· Create and update documentation, including software designs, changes, user manuals, and standard operating procedures (SOPs) for ocean model tests.

· Upgrade LabVIEW-based software applications to newer versions, ensuring they meet the latest testing requirements.

· Troubleshoot and resolve issues in control systems, data acquisition, and software during model testing.

· Test and validate application software before deployment to the ocean basin test setup.

· Prepare comprehensive user manuals, SOPs, and provide training for test engineers to ensure smooth operation of the test environment.

Job Requirements

· Minimum qualification: Bachelor of Engineering (BEng) / Bachelor of Technology (BTech) in Electronics, Electrical, Instrumentation, or Computer Science with at least 2 years of relevant experience, particularly in LabVIEW.

· Proficiency in different versions of LabVIEW, including the latest versions with relevant toolkits.

· Experience in designing and developing NI LabVIEW-based data acquisition and control systems for ocean basin model testing or similar environments.

· Proven ability to develop modular and scalable applications using LabVIEW?s standard architecture.

· Experience in developing LabVIEW applications for Windows and Real-Time (RT) Linux environments.

· Proficiency in integrating NI hardware systems such as PXI, cRIO, and CompactDAQ into the testing framework.

· Hands-on experience with communication protocols like TCP/IP, UDP, Serial, USB, CAN, and EtherCAT for testing and control purposes.

· Experience with integrating third-party programmable instruments (e.g., multimeters, power supplies, oscilloscopes) and controllers into ocean testing setups.

· Experience in developing NI software drivers for third-party hardware and integrating third-party software with LabVIEW.

· Knowledge in selecting, wiring, and troubleshooting sensors used in hydrodynamic and ocean model testing (e.g., pressure sensors, accelerometers, flow meters).

· Experience in reading control panel schematics, designing control systems, and selecting appropriate control panel hardware for model testing.

· Strong team player with the ability to work independently and collaborate in cross-functional project teams.

· Experience interfacing induction motors with VFDs and control systems, with knowledge of VFD configuration for use in testing environments.

· Strong troubleshooting skills at the signal and system level for data acquisition and automated test systems.

· Excellent documentation skills for capturing test requirements, preparing software designs, and writing user manuals.

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

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Job Purpose:

Assess students’ functional physical development level; planning and implementing appropriate intervention treatment to meet individual student objectives; provide recommendations for accessibility, program development and student placement.

Key Responsibilities:

Evaluation & Assessment

• Assess and identify individual needs of students related to occupational therapy issues and concerns to develop intervention procedures.
• Provide re-assessment, review of goals and progress regularly to track students’ progress
• Evaluate, prescribe and provide provision of adaptive equipment / assistive devices as required by the student(s) to improve function.
• Monitor and evaluate student’s functional abilities and make recommendations regarding student’s suitability to prepare students for work/attachment.
• Collaborate with other disciplines to provide team understanding of student occupational performance strengths and needs.
• Evaluate the student’s ability and formulate the student’s occupational profile through a variety of functional, behavioral, and standardized assessments, skilled observation, checklists, histories, and interviews to gather informative data
• Synthesize evaluation results into a comprehensive written report to facilitate student participation in the educational environment, for program development and evidence-based intervention.
• Develop occupationally based intervention plans based on student needs and evaluation results to support student needs and development.
• Participate in multidisciplinary meetings to review evaluation results, integrate findings with other disciplines, offer recommendations, and develop individual education plans and intervention plans to achieve IEP goals.

Program Planning / Intervention

• Formulate / develop and implement appropriate individualized occupational therapy programs to improve student’s functional performance and skills.
• Design classroom-based programs that integrated with the curriculum to improve student’s functional performance and skills
• Select and prepare functional activities that can be easily modified to match student’s skill and interest thus ensure success.
• Provide classroom and work site modifications to improved student functional performance and skills.
• Conduct home visit to support student treatment needs.
• Provide parent /caregiver support such as home program to encourage continuity of the occupational therapy intervention at home.
• Provide classroom and work site modifications to support treatment needs.
• Assist with aspects of training for students on job-trial and work preparation program to support student functional performance and skills
• Educate student, educational personnel, and family to facilitate skills in areas of occupation as well as health maintenance and safety.

Program Administration and Management

• Maintain clinical and administrative records of students to uphold professional standards and school system policy.
• Manage inventory of therapeutic equipment and assessments, and project needs to support budget planning. Keep proper inventory of all equipment and fixtures with regular updating for accountability.
• Propose and justify budget to manage OT program
• Participate actively in continuing education program within the organization, NCSS and other professional bodies to improve support services.
• Conduct in-house training programs to upgrade the professional knowledge and skills for relevant staff / parents / caregivers / volunteers in the organization to provide professional input to stakeholders.
• Submit monthly report and other related written reports to the executive director and school principal to support strategic operations.
• Review occupational therapy services to make quality improvement and changes.
• Collate and prepare High Need Grants documents.
• Conduct meeting with Allied Professional (AP) staff to review occupational therapy services for quality improvement and makes changes as needed.
• Prepare agenda for AP meeting with the Principal. Vet the minutes of AP assistant taken during AP meeting to track follow up actions and accuracy of report.
• Induct new teacher, volunteer, and teachers on work attachment to help them to understand AP services.

Professional Consultation

• Provide consultation to teachers and other related professional staff to improve students’ functional performance and skills.
• Liaise with various discipline involved in the rehabilitative treatment process. (e.g teachers, parents, principal, school administrator and professional staff to support student needs
• Liaise with various professional disciplines in the rehabilitative treatment process to improve student results.

Professional Growth and Ethics

• Participate in continuing education for professional development to provide practice that is consistent with best practice.
• Use professional literature, evidence based research, and continuing education content to make practice decisions.
• Use professional code of ethics and standards of practice to guide ethical decision making in practice.

Admission and Review

• Conduct screening of applicants for placement in school to support strategic operation.
• Assess the child’s numeracy/literacy skills, behavior, motor skills, and sensory issues to support placement for learning.
• Meet the parents to feedback on classroom observation to provide support services.
• Prepare the screening reports and meet the admission and review committee to discuss the outcomes of the application.
• Attend to walk-in parents and phone inquiries to answer query on admission.
• Attend to MAAP meeting for student placement
• Support teachers in managing students during crisis situation to support student needs.

Job Requirements:

• Degree in Occupational Therapy recognised by the AHPC with 3 to 5 years clinical experience.
• Applicants the relevant qualifications with no working experience are welcomed to apply.
• Interpersonal skills, Classroom management skills, takes Initiative, effective communication, Passionate, Creative, Non-Judgmental
• Relevant work experience with children and young adults with intellectual disability would be an advantage
• Ability to work with minimum supervision
• Valid practising certificate with Allied Health Professional Council (AHPC)
• Strong in verbal and written English

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

Job Purpose
The mission of the Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in the Yvonne Tay team which studies RNA biology in cancers. You may refer to https://csi.nus.edu.sg/researcher/yvonne-tay/ for more information.

Interested applicants should include the following documents in the job application
1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. 3 referees including their name, contact information (email) and relationship to applicant

Duties & Responsibilities
Research:

• Carry out assigned experiments under initial guidance and then independently
• Organize, preserve, and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyse data and design subsequent experimental workflow
• Assist in supervising, training and guiding attachment/undergraduate students as required

Administrative duties:

• Assist with lab housekeeping and administrative duties as needed
• Ensure that standard operating procedures and safety regulations are followed

Qualifications

• Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
• Interest in pursuing a research career in studying RNA biology in cancer
• To be a team player with the ability to work collaboratively with other members of the lab.
• Experience in running projects independently is preferred.
• Experience in laboratory management is preferred but not essential.
• Ability to communicate fluently in written and spoken English
• Knowledge in cell culture and basic molecular biology techniques (western blotting/ RT-PCR etc)
• Proficiency/ expertise in data analysis (R or equivalent)

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

Job Description & Requirements

We are looking for experienced Math/ Science teacher/tutor to teach Secondary subjects

Who are we looking for?

• Someone with a Bachelor degree
• Has experienced in teaching the subject.
• At least 2 Year(s) of working experience in the related field. Someone who has experience working in a tuition centre will be an added advantage
• Enthusiastic, patient and passionate in helping students to excel
• Dedicated and a team player

The role:

• Assist to prepare some materials and curriculum
• Conduct lessons
• Evaluate and monitor students’ progress
• Assess each child’s educational and development needs

Other Information:

• Location: near Clementi MRT
• This can be a part time (3 or 4 day week) or a full time (5 day week), with 1 weekend.
• Working hours: weekday 1 pm to 9pm; weekend 8.45am to 6pm
• Salary commensurate with qualifications and experience
• Annual leave & medical

Interested applicants, please send your resume to us by detailing your qualification and experience, and expected salary.

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

A Research Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The labs mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Key Qualifications:

• Ph.D. with experienced individuals in a related field, with a research focus.
• Experience in any of the following areas:
  • Cancer Biology or Cancer Immunology
  • Single-cell sequencing and spatial-omics data
  • Computational structural biology and protein design
  • Developing generative AI models
  • Computer-aided drug discovery
• Exceptional analytical, technical, and problem-solving skills
• Ability to work independently and thrive in a dynamic team environment

We look forward to welcoming you to our team and driving forward groundbreaking research in brain tumor genomics.

This position is for a full-time Research Fellow in the Coronavirus Lab led by Assistant Professor Mart Lamers in The Signature Research Programme in Emerging Infectious Diseases (EID). Our team uses cutting-edge technology (e.g. organoids, CRISPR, and single cell omics) to understand coronavirus-host interactions relevant to pandemic potential and pathogenesis.

We welcome applications from candidates with a strong background in Virology, Immunology, Cell Biology or Stem Cell Biology. The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following:

• Independently carry out the design and execution of high precision in vitro experiments related to coronavirus biology and (immuno)pathogenesis.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for research that could have a considerable influence and impact on the relevant field.
• Provide support for external grant and protocol development, study design and management of research activities.
• Demonstrate and present research output.
• Provide guidance and mentorship to graduate students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Immunology, Vaccinology, Virology, Cell Biology, or Stem Cell Biology or a related biomedical field.
• Willing to be trained to work in a biosafety level 3 containment laboratory. Prior BSL-3 experience would be advantageous.
• Prior experience in immunology, gene editing, stem cell biology, or bioinformatics would be advantageous.
• Possess excellent quantitative, analytical and organisational skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.
• Commitment to team science.

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

SIA-NUS Digital Aviation Lab at the National University of Singapore (NUS) offers an exciting opportunity for a highly motivated Research Engineer (UX Designer/Researcher) within Work Package 4. The work package focuses on developing innovations in the following key strategic areas related to passengers’ inflight experience, mainly in Enhancements to SIA’s Cabin Seat Product Offerings, Novel Features for SIA’s Next Generation Aircraft Cabins for Sleep Improvement and Pushing SIA’s Superior Customer Experience to New Heights with an Advanced Connected Cabin.

The duties and responsibilities for this role includes working collaboratively with a multi-disciplinary team to develop and execute strategies that ensure the successful delivery of project goals outlined in the brief. As a UX Designer, you will be responsible fin supporting the team in developing innovative, desirable, and feasible design solutions and concepts that meet the business needs while bringing customer experiences to greater heights. One of the key role is to conduct research and develop new framework and strategies in new area of interest as identified by the PI.

As a UX Designer/Researcher, your key responsibility will be:

• Support the development of current and new projects.
• Conduct research and develop frameworks in new topics of interest as identify by the PI.
• Develop strategies such as probes, workshops, or teaching platforms to test and develop these frameworks.
• Conduct probes, workshops and teaching activities above.
• Data collections
• Assist PI in collating research material for communication and publication.
• Assist in conducting studies and experiments when necessary.

Requirements

The university values courage and creative, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to those values and are looking for a suitable candidate who has:

• Bachelor’s degree in industrial Design, Design, Anthropology, Psychology, Sociology or related disciplines.
• Possess excellent interpersonal and communication skills.
• Strong organizational skills. Ability to manage projects with various stakeholders.
• Am comfortable in working within a self-directed culture and navigating ambiguity.
• Previously worked in projects related to delivering better customer experience or UI/UX experience is a plus.
• Proficient with prototyping software such as Figma, Adobe XD. Ability to CAD and handle 3D prototype is a bonus.
• Ability to conduct secondary research. Ability to analyze and syntheses research materials.
• Good writing and presentation skills.
• Openness to critique from other disciplines.
• Have empathy and curiosity for how great brands, businesses and organization navigate innovation and design.
• Experience with unique and novel research tools, methods of uncovering key insights, and proposing of new concepts.

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The lab"s mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Key Qualifications:

• Ph.D. with experienced individuals in a related field, with a research focus.
• Experience in any of the following areas:
  • Cancer Biology or Cancer Immunology
  • Single-cell sequencing and spatial-omics data
  • Computational structural biology and protein design
  • Developing generative AI models
  • Computer-aided drug discovery
• Exceptional analytical, technical, and problem-solving skills
• Ability to work independently and thrive in a dynamic team environment

We look forward to welcoming you to our team and driving forward groundbreaking research in brain tumor genomics.

JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. The ideal candidate need not specialise in all three aspects, but should be technically strong in at least one of these areas.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry.
• Expertise in T-cell engineering highly preferred.
• Interested in data and computation.
• Solid publication record and strong scientific writing skills.
• Strong motivation and energy to lead project.
• Good organisational, verbal and interpersonal skills.
• Need to be a team player.
• Keen to learn

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

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo's laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases. Reference: www.adrianteolab.com.

Qualifications / Requirements:

• Degree in Biological Science and Life Science disciplines or equivalent
• Deep commitment and interest in research, demonstrated from previous research experience
• Minimum 6 months prior research experience in the Biomedical field
• Experience with mammalian cell culture and molecular biology techniques
• Experience with animal work and surgical techniques
• Experience with mammalian stem cell work will be valued
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team
• Excellent communication (verbal and written) and presentation skills
• Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued

Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of referees.

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 Structural assessment of the test models as well as other support to be used in the experimental setup.

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 like load cells or custom strain gauges.

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 Structural response and health monitoring 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:

- Offshore engineering, marine engineering, marine structures, hydrodynamics, naval architecture.

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

- CAD software such as SolidWorks, Rhino, AutoCAD

- Engineering tools such as SESAM and ABAQUS

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

· 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.

· 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.

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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to recruit a proactive and motivated research assistant to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research assistant, you will assist with conducting and monitoring microalgal cultivation bioprocesses via analytical techniques to achieve maximal product titres, yields, and rates. You will also assist with processing the microbial proteins for optimal digestibility, flavour, and nutritional profiles. The candidate will work closely with postgraduate and postdoctoral researchers. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Assist in data analysis and preparing formal reports, publications, and presentations.
- Perform general lab housekeeping and maintain safety documentation.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper equipment operation and maintenance.
- Remain updated on current scientific literature related to microbial foods.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- Bachelor’s or Master’s degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Knowledge in any of the following areas will be advantageous: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing.
- Strong verbal and written communication skills in English are required.
- Good communication and interpersonal skills to engage within a culturally diverse and cross-disciplinary team.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Excellent problem solving and analytical skills.
- Meticulous, well-organised, and detail oriented.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for suitable Research Fellow who is interested to work with Dr Prateek Bansal's research group at the National University of Singapore (NUS). The project involves understanding preferences for Mobility-as-a-Service (MaaS), estimating its effect on public transport, and quantifying system-level emission impact of MaaS.

The candidate will be responsible for:

• In-depth review of the literature.
• Designing and conducting stated preference experiments
• Developing and estimating discrete choice models
• Devising optimization-based approaches for system-level MaaS design by integrating results from discrete choice models.
• Creating an agent-based model to simulate the emission impact of MaaS

The successful applicant is expected to pursue independent as well as collaborative research and must be willing to participate in writing grant proposals and supervising doctoral/postgraduate research students.

Job Requirements

• Possess a PhD degree in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines.
• Has good understanding of discrete choice experiments and model estimation,
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Strong written and spoken communications.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD