Job Description:

• Be a member of the leadership team to achieve the vision and mission of the National GaN Technology Centre (NGTC).
• Lead the Technology, Engineering and Industry team in technology road mapping and R&D pathfinding in device architecture, fabrication process technology, and MMIC design.
• Lead the Technology team, which comprises (a) characterization & modelling, (b) MMIC design, testing & model validation, (c) device failure and reliability analysis, (d) ultra high frequency GaN-on-SiC device design, layout, fabrication and characterization, and (e) low voltage GaN-on-Silicon device design, layout, fabrication and characterization.
• Coordinate with the Engineering team to develop ultra high frequency devices, ultra low voltage devices, and their MMICs.
• Coordinate with the Engineering and Operations teams to ensure timely delivery of the projects.
• Initiate and secure research grants and industry funding.
• Initiate, coordinate and manage research collaborations with IHLs and industry partners.
• Provide regular progress report of the Technology team’s activities to NGTC management.
• Represent NGTC in customer meetings.

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 15-20 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 8 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/written communication skills.

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

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 Associate in the Department of Information Systems and Analytics, 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 largescale experimental systems and improving the wellbeing 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 Associate will be responsible for working closely with the Principal Investigator on one or more research projects.

He/she should possess relevant experience in the following topics:
- Machine Learning and Data Mining
- Clinical and Genomic Data Analysis
- Multiview/multimodal Learning from heterogeneous data sources
- Software development

Experience in modeling heterogeneous/multimodal, temporal data with complex dependencies will be valuable.

Only shortlisted candidates will be notified.

Qualifications

- Master’s degree in Machine learning from a premier institution
- At least 5 years of research experience (demonstrated through publications in top-tier venues)
- At least 5 years of software development experience
- Excellent programming skills in Python (working knowledge of machine learning/data mining libraries like pytorch, numpy, scipy, pandas)
- Strong spoken and written communication skills

JOB DESCRIPTION

The candidate is expected to contribute to IME in:

1. Electrical test on 12" wafer for IV-CV measurement

2. CSAM operation

3. ESD test

4. Reliability chambers operation

5. Other lab related paper work

JOB REQUIREMENT

1. Diploma in Electrical & Electronics Engineering background with at least 2 years of relevant experience

2. Able do some computer programming

3. Ability to work effectively and independently

4. Ability to communicate and interact with staff and industry personnel successfully

5. Able to do some shift work requirement occasionally

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.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

The laboratory of Immunotherapy in HBV Infection within EID is focused on the study of immune response of Hepatitis B and the liver microenvironment. The laboratory is also at the forefront in developing T-cell receptor (TCR) cell therapy against hepatocellular carcinoma (HCC). Recently, the laboratory is actively involved in studying the immune responses in SARS-CoV1, SARS-CoV2 and other emerging viral diseases.

A research assistant position is available, and the successful candidate will be closely involved in the collaboration project work between hospitals/industries and the laboratory. The duties and responsibilities will include the following: -

• Perform tasks and support the team in scientific projects.
• Plan and perform the experiments, and also discuss data with project team.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Process and store clinical samples and keep a good inventory of samples required for the projects.
• Perform other duties required to support the organisation of the laboratory, including but not limited to purchasing, stock-taking, inventory and compliance with safety and ethical regulations.

Job Requirements

• Bachelor’s Degree in Life Sciences, Biological Sciences or equivalent with 1 to 2 years of experience working in a translational immunology laboratory,
• Prior experience in a T cell laboratory is preferred.
• Have experience in human samples studies, including handling and processing of clinical samples such as blood and tissue.
• Possess good tissue culture techniques and familiarity with cell isolation techniques would be advantageous.
• Have prior experience in growing and maintaining both cell lines and primary human cells in culture.
• Prior experience in performing T-cell assays such as Elispot, cell staining and flow cytometry.
• Possess good multi-colour flow cytometry skills. Able to operate flow cytometer and analyse flow cytometry data using flow cytometry analysis software such as FlowJO/Kaluza.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

Applications should email a CV and names and contact information of references to Adeline Chia ([email protected]) and Anthony Tan ([email protected]).

We regret that only shortlisted candidates will be notified.

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

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

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

Responsibilities:

· Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)

· Monitor basic equipment/process errors and perform recovery.

· Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.

· Logistically transport wafer lots between equipment within cleanroom and between worksites.

· Identify and address potential areas for improvements such as cycle time, utilization, and cost.

· Perform chemical change/ top-up for equipment under supervision.

· Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.

· The candidate may be required to perform shift work (Mon-Fri).

Job Requirement:

· Nitec or Diploma in Electrical/Mechanical/Chemical Engineering

· Basic understanding on semiconductor process is preferred

· 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

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:

• Be a member of the leadership team to achieve the vision and mission of the National GaN Technology Centre (NGTC).
• Lead the Technology, Engineering and Industry team in technology road mapping and R&D pathfinding in device architecture, fabrication process technology, and MMIC design.
• Lead the Technology team, which comprises (a) characterization & modelling, (b) MMIC design, testing & model validation, (c) device failure and reliability analysis, (d) ultra high frequency GaN-on-SiC device design, layout, fabrication and characterization, and (e) low voltage GaN-on-Silicon device design, layout, fabrication and characterization.
• Coordinate with the Engineering team to develop ultra high frequency devices, ultra low voltage devices, and their MMICs.
• Coordinate with the Engineering and Operations teams to ensure timely delivery of the projects.
• Initiate and secure research grants and industry funding.
• Initiate, coordinate and manage research collaborations with IHLs and industry partners.
• Provide regular progress report of the Technology team’s activities to NGTC management.
• Represent NGTC in customer meetings.

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 12 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 12 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/written communication skills.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

RESEARCH ASSOCIATE IN PUBLIC HEALTH

We are seeking a Research Associate to join a multi-disciplinary research team to conduct public health research, in particular in the area of women’s mental wellbeing.

The position provides the candidate a great opportunity to develop qualitative and quantitative research skills and work with international experts in public health policy, mental wellbeing, and maternal health. The job holder will be an integral part of a research project which examines the role of time use in the mental wellbeing of women with young children in Singapore. Responsibilities will include: literature review, qualitative and quantitative data collection, data analysis, and preparation of scientific papers. The job holder will work closely with Assistant Professor Yvette van der Eijk and members of her research team, as well as local experts in health research and policy.

This full-time position is based at the Tahir Foundation Building at National University of Singapore. The position has a 1 year contract in the first instance, with possibility of extension.

Requirements:
• Masters degree in public health/epidemiology, social sciences, or other relevant discipline.
• At least one year hands-on experience in quantitative data management and analysis using standard software programs (e.g. R, Stata, Python).
• At least one year hands-on experience in qualitative data management and analysis (e.g. semi-structured interview, focus group discussion).
• Keen interest in women’s mental wellbeing.
• Very good written and oral communication skills.
• Fluent in English.

Applicants should include a CV, 1-page cover letter, list of publications (if applicable) or a writing sample, and the names and email contact of 2 referees who may be contacted immediately if shortlisted.

Recruitment is open immediately, and will continue until the position is filled.

For further enquiries, please contact Dr Yvette van der Eijk at [email protected].

Please note that only shortlisted candidates will be contacted.

Qualifications

Masters degree in public health/epidemiology, social sciences, or other relevant discipline.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a research project in the area of Brain Computer Interface funded by the Ministry of Education where you will be a key member of the research team to develop a Non-Invasive Closed-loop Brain Computer Interface for Decoding and Control of Motor Imagery Kinematics.

Key Responsibilities

• Actively participate in the execution of the research project with the Principal Investigator (PI), Co-PIs and the research team members to ensure all project deliverables are met.
• Support the development of novel signal processing and machine learning methods for Brain Computer Interface (BCI)-based motor imagery kinematics decoding.
• Development of real-time Electroencephalogram (EEG) data processing architecture and associated Software.
• Development of the experimental paradigm and graphical user interface for Motor Imagery-speed decoding the speed-Error-related Potential detection.
• Integration of the Motor Imagery direction and speed decoder with the Error-related potential detector.
• Conducting BCI studies on healthy subjects as well as stroke patients in the hospital.
• Work together with a team of researchers to implement and test the BCI system, and also to evaluate the effectiveness of the system.
• Publish research findings in reputable journals and present at conferences and workshops.
• Work independently, as well as within a team, to ensure that project deliverables are met.

Job Requirements

• Bachelor's degree in Engineering/Technology in Electrical/Electronic/Computer Engineering with a minimum CGPA of 8/10, with a research interest in Brain Computer Interface.
• Good grades for the undergraduate courses on (i) Digital Signal Processing and (ii) Probability and statistics.
• Research experience in Biomedical Signal/Image Processing.
• Publication of Biomedical Signal/Image Processing research work in reputed international conferences.
• Proficiency in MATLAB.
• Strong analytical and problem-solving skills, with the ability to critically evaluate and interpret research data.
• Excellent written and verbal communication skills, with the ability to publish research findings in top-tier journals and present papers at conferences.
• Ability to work both independently and collaboratively in a research team environment.

1. Monitoring and Optimization:

- Oversee real-time data monitoring to ensure the seamless functionality of our products and services.

- Identify and promptly address potential issues to maintain optimal performance standards.

2. Technical Support and Assistance:

- Provide comprehensive technical support and assistance to team members, covering areas such as system replication, installation, report generation, and feedback monitoring.

- Proactively troubleshoot technical issues, collaborating with the team to implement effective solutions.

3. Product Enhancement:

- Spearhead the suggestion and implementation of improvements to existing products and services, actively contributing to ongoing innovation and enhancement.

- Explore opportunities for the creation of new products and services, aligning with organizational goals and market demands.

4. Cross-functional Collaboration:

- Collaborate seamlessly with cross-functional teams to ensure the success of products and services throughout their lifecycle.

- Foster effective communication and cooperation among different departments to achieve shared objectives and enhance overall organizational effectiveness.

5. Documentation and Reporting:

- Develop technical documentation, presentations, and reports to communicate insights, progress, and recommendations effectively.

- Maintain meticulous records to support informed decision-making and future reference

The SB Fellowship Manager will be mainly responsible for managing and executing the programme?s flagship Innovation and Faculty Fellowships. Applicants should be driven, passionate about Med-/HealthTech, able to deliver within strict timelines, and have experience with project/programme management. The role requires a team player who enjoys a dynamic working environment, and provides the opportunity to work with local and international Med /HealthTech partners in the Singapore Biodesign network.

Responsibilities:

• Execute and manage Fellowships operations, main POC for Fellows
• Support Fellowship Heads and Senior Programme Manager in relevant programme development, management and execution
• Support Fellowship-related marketing and events
• Support local and international partnerships relevant to Fellowships, work with Senior Programme Manager and Senior Business Development Manager on maintaining relevant partnerships
• Support the preparation of partnership agreements and contracts
• Interface with relevant Corporate Group Services e.g. procurement
• Support curriculum development for SB?s training initiatives relevant to Fellowships
• Support budget management and work with Finance to monitor financial movements of SB?s budget
• Support SB training initiatives

Qualifications:

• At least a Bachelor?s Degree in Science or Engineering
• At least 3 years of experience in industry/ research/ healthcare clusters
• Experience with project or programme management
• Proficient in MS office (Microsoft Project, Word, Powerpoint and Excel)
• Excellent listening, writing, presentation, organizational and relationship building skills required
• Enjoy working in a small team, start-up talent development environment

This position reports to the Senior Programme Manager.

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 successful candidate will work with A/Prof Yip Hon Kay John on synthesis and photochemistry of luminescent metal complexes under a project on "Synthesis, Spectroscopy and Photocatalysis of Earth-Abundant-Metal-Based Emitters".

The main responsibilities of the position include:

• Daily operation of a synthetic laboratory
• Research including synthesis and characterization of inorganic and organic molecules

Qualifications

• Qualifications / Discipline: BSc Hons Major in Chemistry
• Skills: Basic chemical synthesis, NMR spectroscopy.
• Experience: Undergraduate research in inorganic/organic chemistry is preferred

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.

• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.

• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

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

Qualifications

The candidate must possess:

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

Admin Executive cum Receptionist

Main Duties:

• Raising sales order & do invoicing/prepare proforma invoice
• Arrange local/overseas shipments
• Local/overseas courier for document & sample for clients
• Picking calls – pertaining to customer enquires/transfer calls
• Preparing certification required for overseas shipment

Ad-hoc Duties:

• Maintain/purchase office/pantry inventory
• Receive document/packages from courier (arrange payment if required)
• Assist regulatory to prepare document for signature
• Source for forwarders for overseas shipment
• Prepare invoices for audit purpose
• Assist to arrange for hotel/flight booking (if required), organize engagement activities
• Others

Minimum Qualifications:

• O/A Levels / Diploma in Office Skills
• Min 1-2 year’s relevant experience in administrative and operations support
• Meticulous and organized, good follow-up skills and initiative
• Excellent in managing documentation and paper work
• Multitasking and able to take stress

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

Bachelor or above degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This position is for postdoctoral research in the exciting areas of either CO2 capture, CO2 conversion, and bioelectrochemistry in the Andrew B Wong group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS) as well as with the Department of Chemical and Biomolecular Engineering at the National University of Singapore (NUS).

The ideal candidate would possess expert-level knowledge of electrocatalysis, bioelectrochemistry, or similar chemistries with a publication track record as a first author in leading journals (Impact factor >10 or more). Experience with materials characterization techniques such as SEM, EDS, EELS TEM, STEM, XRD, XAS, XPS, FTIR, AFM, STM, and/or Raman would be desirable. Comfort discussing research fluently in English is also highly desirable.

Those applicants who meet the requirements and pass the preliminary review will be notified via email to arrange an interview. Recruitment advertisements are in effect until the positions are filled.

Job Requirements

1. PhD degree in a related discipline (Chemistry, Chemical Engineering, Materials Science, Physics, or a related field). A strong understanding and extensive experience in electrochemistry/electrocatalysis or bioelectrochemistry is strongly preferred.

2. Applicants should have excellent research skills, experiences, and traits, such as:
a) Able to demonstrate a track record of novel research (First author papers in IF >10 journals)
b) Able to understand, analyze, and critique literature
c) Able to formulate and propose research directions
d) Able to demonstrate a rigorous and earnest attitude towards research
e) Able to work well in interdisciplinary or multicultural team settings
f) Able to carry out scientific research independently
g) Able to mentor undergraduate, master’s, and PhD students
h) Able to manage routine logistics of research

3. Applicants with at least one of the following experiences are preferred:
a) Rich experience in nanomaterial synthesis and characterization for catalysis (such as synthesis of new catalysts)
b) Research background in electrocatalytic reactions (including but not limited to CO2RR, OER, HER, etc.) and/or with electrolytic cells ( such as flow cell, membrane electrode assembly, solid-state electrolyte, etc). Applicants with unique insights and research ideas on the development of carbon dioxide electrocatalysis and cell design or electrode design are particularly desirable.
c) Experience with in-situ or in operando characterization of electrocatalysts, including FTIR, Raman, or XAS characterization, etc.
d) Research experience with halide perovskite materials, including design and synthesis of new materials, device fabrication (PV and/or LED), and characterization.
e) Experience in high-temperature electrochemistry using molten salt electrolytes.
f) Experience in bioelectrochemistry.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

NUS is seeking for Research Engineer to work on the following topics.

1. Emerging Low-Carbon Technologies: Uncovering the carbon mitigation potential and cost-effectiveness of deployment of green hydrogen, CO2 capture and utilization, renewables-based heating, etc., in hard-to-abate sectors such as steel, cement, chemicals, and aluminum.

2. Existing Symbiotic Technologies: Exploring the deployment strategies of existing technologies related to industrial symbiosis and material/energy recycling to foster industrial synergy and collaborative infrastructure systems for increased sustainability.

Job Requirements

• Possess a bachelor degree in environmental science, energy, chemical engineering, economics, or other related fields.
• Good written and spoken communication.
• Excellent communication skills and capability to present research findings in publications.
• Open to fixed-term contract.

Note: Applications should include in a single .pdf file:

(i) Resume
(ii) Research statement (1-2 pages), including research summary and plans &
(iii) contacts of 3 reference persons plus the contact of your PhD supervisor.

This position is for a full-time Senior Research Fellow in the Laboratory of Immunity and Immune Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens 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 experimental research required by the research component of the project.
• Independently analyse complex data sets.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research, which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Assist in writing and monitoring animal protocols, and IRB applications.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Biology or other related fields.
• Prior experience in molecular and cellular biology techniques, animal model work, and/or human immunology. Knowledge of single cell transcriptomics data analysis would be advantageous.
• Demonstrated capability of research independence progressively.
• Have in-depth knowledge, skills and expertise with potential to achieve research excellence.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce

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

Characterization of catalytic nanomaterials with advanced electron microscopy

Qualifications

• At least a MSc in materials sciences, Physics, Chemistry, or related disciplines, with a proven ability for outstanding research that is reflected in his/her publication record
• Highly self-motivated and ambitious to do cutting-edge research
• Strong communication skills in English (both Oral and Writing)
• Extensive experience with heterogeneous catalysts
• Have extensive experience working with complex oxide catalysts
• Have extensive experience working with Pt-Sn alloy catalysts
• Extensive experience with identical-location TEM

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 Visiting Senior Research Fellow will be responsible to, and work closely with, the Principal Investigator and the Memory Aging and Cognition Centre. The applicant will focus on neuroimaging , neurocognitive and neurobehavioral studies of dementia and its integration with genetic, clinical and PET data.

Main duties and responsibilities

1. Perform academic research on neurocognitive and neurobehavioral markers of dementia in different population settings imaging and other clinical outcomes in MACC observational and clinical trial cohorts

2. Provide supervision and training to research associates / research assistants / students

3. Provide expertise to work with collaborators on the design and analyses of cognitive and behavioral studies.

4. Contribute to large domestic and international research funding applications.

Qualifications

The applicant should:

1) have a PhD degree, which must include appropriate postgraduate training and experience in neurocognition and neuropsychiatry.

2) have strong knowledge of epidemiology and statistical applications, e.g. SPSS, MS office, PowerPoint.

Remuneration will be commensurate with the candidate’s qualifications and experience.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The laboratory of Antimicrobial Resistance and Drug Development in A*STAR ID Labs is looking for a highly self-motivated individual to join us as a Research Officer. Our lab is interested in developing new screening assays for drug discovery and early-stage antimicrobial drug development. Lab has extensive experience working with various pathogens (bacteria, virus and parasites).

The job responsibilities include:

• Bacterial and viral assay development and assay optimization
• Compound screening
• Target deconvolution (understanding mechanisms of action and resistance of selected compounds)
• Design and conduct experiments including data collection and analysis
• Summarize and present the data in lab meetings
• Develop new research techniques and approaches
• Collaborative spirit with internal and external collaborators
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Life Sciences/Biomedical Sciences, Microbiology, Molecular Biology or related field
• 5 years of relevant experience or candidates with relevant final year project expereince
• Highly motivated and able to work independently
• Adaptable to working with different organisms (bacteria or viruses)
• Team player with good interpersonal skills
• Good spoken and written communication skills
• Possible work in a BSL3 facility

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

A Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer will work closely with the Principal Investigator (PI) on quadrotor path planning, control, SLAM, swarm path planning, and cooperative transport. The approach will leverage the advantages of both deep reinforcement learning and conventional controls, combining model-based and model-free methods. Strong hardware experience and C++ coding especially related to quadrotor path planning and control are required.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Bachelor’s or Master’s degree from a reputable university, and with strong hardware expertise in aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences, and practical hands-on experience in applying reinforcement learning to real robotics applications (e.g., autonomous driving and unmanned aerial vehicles) are highly valued.

Qualifications

• Possess a bachelor’s or master’s degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Electrical, Mechanical, Information Engineering).
• Have research experiences in control, reinforcement learning, distributed optimization, multi-agent, UAVs.
• Possess a strong experience in practical hands-on hardware project, familiar with 3D modelling and mechanical design. Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithm.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of control theory and robotics applications, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.
• 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 Department of the Built Environment at the National University of Singapore hosts the Centre for 5G Digital Building Technology (5GDBT), which focuses on several key research areas. These include:

1. Smart Facilities Management (FM) through Digital Twin (DT) technology.
2. Integration of Robotics and Internet of Things (IoT) sensors.
3. Exploration of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (XR).
4. Advancements in 5G Network Technology.
5. Implementation of a Common Data Environment for the integration of Smart Technologies.

The primary objective of the Centre for 5GDBT is to play a pivotal role in Singapore's digital research transformation, aligning with the nation's goal of achieving nationwide 5G coverage by 2025. The Centre for 5GDBT aspires to become a leading hub for digital building technology, focusing on impactful research, comprehensive education, and the adoption of best practices. Its strategy involves leveraging 5G connectivity, cloud-based DT technology, and robotics for applications in Smart FM and the Built Environment (BE) industry. Ultimately, the Centre seeks to revolutionise the design, delivery, and management of Singapore's BE.

The Centre for 5GDBT is in search of a Research Fellow (RF) with a proven ability to lead and execute research projects independently. The role requires a strong foundation in managing research projects and a deep understanding of smart technologies within the Built Environment (BE) industry, specifically in the Facilities Management (FM) domain. This encompasses expertise in technological competencies and smart technologies such as robotics (e.g., cleaning robots, concierge robots) and IoT devices.

The RF will be tasked with not only the technical aspects of research projects but also administrative and managerial responsibilities associated with them. Additionally, they will play a crucial role in supporting PhD students by offering academic and research guidance, collaborating closely with the Principal Investigator (PI), Dr Shah. Ideal candidates should bring substantial research experience in relevant fields, possess robust data analysis skills, and demonstrate proficiency in programming.

The selected candidate will engage in both academic development and hands-on fieldwork, collaborating with fellow research staff and students. This will be carried out under the guidance and supervision of the Principal Investigator (PI).

Job Requirements

- Hold or be in the process of obtaining a Ph.D. (i.e. is in the final stages of PhD studies meaning submitted thesis or pending oral defence) in a relevant field, such as Computer Science, Building Science, or related disciplines.
- Demonstrate a proven track record in effectively managing and actively participating in advanced theoretical and computational research projects.
- Able to develop robotic use-cases for Smart Buildings and Smart Facilities Management
- Working with integration of Digital Twins with Robotics and IoT sensors
- Possess strong programming skills, with specific knowledge or experience in the areas listed below:
• Digital Twin
• Robots = Message Queuing Telemetry Transport (MQTT), Robot Operating System (ROS) 1 & 2, Python, Java, C++
• Cameras = Localised LAN Server, Video Management Server (VMS), Streaming RTMP
• Display = Remote PC Display
• Experience in API, APKs, SDKs, UI/UX
• Experience in Artificial Intelligence (AI), ChatGPT, Video Analytics
• Developer:
(1) AI detection models for Andriod
(2) Video Analytics (MobileNet, TensorflowLite, Kotlin)
(3) Andriod Apps Developer
(4) Live Streaming Andriod Apps
(5) Live Broadcasting Andriod Apps
(6) Backend Video Server Developer
- Skills listed below would be strongly preferred:
• Video Analytics Detection Models
• Large Language Models (LLM)
• Artificial Neural Networks
- Working with integration of Digital Twins with Robotics and IoT sensors, Generative AI, Smart Cameras, Drones
- Exhibit exceptional communication skills, both written and verbal, and demonstrate proficiency in team management. The candidate should also showcase independent problem-solving abilities.
- Fluency in oral and written English is essential to effectively collaborate and communicate within a diverse research environment.
- Experience in writing proposals and paper publications
- Ability to contribute to and lead the development of academic papers for publication in reputable and high-impact journals, reflecting a commitment to scholarly excellence.
- Proven capability to mentor and guide research staff and students, fostering a collaborative and innovative research culture.
- Display a keen interest in staying abreast of emerging technologies and methodologies within the specified research areas, continuously contributing to the intellectual advancement of the team.
- Previous experience in securing research funding, collaborating with industry partners, and participating in interdisciplinary research initiatives would be considered advantageous.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

NUS is seeking for Research Engineer to work on the following topics.

1. Emerging Low-Carbon Technologies: Uncovering the carbon mitigation potential and cost-effectiveness of deployment of green hydrogen, CO2 capture and utilization, renewables-based heating, etc., in hard-to-abate sectors such as steel, cement, chemicals, and aluminum.

2. Existing Symbiotic Technologies: Exploring the deployment strategies of existing technologies related to industrial symbiosis and material/energy recycling to foster industrial synergy and collaborative infrastructure systems for increased sustainability.

Job Requirements

• Possess a bachelor degree in environmental science, energy, chemical engineering, economics, or other related fields.
• Good written and spoken communication.
• Excellent communication skills and capability to present research findings in publications.
• Open to fixed-term contract.

Note: Applications should include in a single .pdf file:

(i) Resume
(ii) Research statement (1-2 pages), including research summary and plans &
(iii) contacts of 3 reference persons plus the contact of your PhD supervisor.

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

• Pulsed plasma actuators have gained significant traction in the research community for their ability to produce enhanced aerodynamic performance with minimal modifications required to the system geometry. Yet while most studies have focused on flow separation control, less attention has been devoted to skin friction reduction. This project aims to examine and optimize the performance of a novel class of pulsed plasma actuators.
• The selected candidate is expected to conduct experiments to characterize both the aerodynamic performance and plasma properties of these actuators, so as to understand the underlying physical mechanisms leading to any observed drag reduction. Extensive use and development of laser-based techniques should be expected, along with ample potential for use of machine learning approaches.

Qualifications

• PhD in Fluid Mechanics, Aerodynamics, Applied Physics, Plasma Physics, or related field. Experience in laser-based diagnostics and/or machine learning approaches is strongly preferred.