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

· 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.

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. Bachelor’s Degree in EE & EEE background

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.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

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

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

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

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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 Professor Wu Jishan on synthesis and electronic properties of novel aromatic systems under a project on “Toward 3D Global Aromaticity Rules”.

The main responsibilities of the position include:

1. Organic synthesis of designed molecules
2. Physical characterization of the electronic and optical properties
3. Material applications

Qualifications

• Qualifications / Discipline: PhD degree in organic chemistry or physical chemistry or organic/supramolecular materials
• Skills: Strong in organic synthesis, good in physical chemistry
• Experience: Rich experience in organic chemistry, supramolecular chemistry, and organic materials, with strong publication record.

Looking for a reliable professional, providing a day to day operations in FAB inventories receipt, storage, issuance and transportation of materials.

• Oversee the FAB spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day in day out logistics operations.
• Co-ordinate with co workers and on the movement of FAB materials across IME Premises. Must work closely with the FAB purchasing and operation teams on all logistic needs.
• Always adhere to safety requirements at all times.
• Work on continuous improvement programs/ projects in FAB logistics operations.

Requirements

Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.

Experience:

• At least 1 year of warehouse operations or relevant academic experience can be considered
• Engineering background with wide contacts with semicon. material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.
• Experienced in purchasing, new system set-up for inventories and logistics operations will be an added advantage.Looking for a reliable, professional, providing a day to day operations in
  FAB inventories receipt, storage, issuance and transportation of materials.

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 Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with the public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This involves addressing intricate and unexplored challenges in various disease areas, including oncology, fibrosis, infectious diseases, and autoimmune disorders. EDDC is now seeking under the IFP programme a highly motivated candidate with specialized skills in high throughput phenomics, utilizing advanced experimental and computational techniques to accelerate drug discovery and development. The position requires the implementation of methods and workflows that incorporate high-content screening, automated image analysis, and data integration from diverse phenomics datasets. The candidate will apply advanced data analysis strategies, utilizing machine learning approaches for insightful decision-making in research.

This is an eighteen-month on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team working to evaluate, develop and integrate high-throughput experimental data with computational methods to drive innovations in biomedical research and therapeutic development.

Responsibilities:

• Experimental Design and Execution: Develop and implement high-throughput screening protocols, particularly utilizing High-Content Screening (HCS) methodologies. This entails integrating advanced microscopy and image analysis for comprehensive cellular studies.
• Data Analysis and Interpretation: Engage in the management and interpretation of large-scale data sets derived from high-throughput experiments. Employ statistical and computational methodologies to extract significant biological insights and patterns from complex data.
• Protocol Optimization: Innovate and refine experimental procedures to enhance the efficiency and accuracy of phenomics assays. This involves systematic protocol development and validation to ensure reproducibility and reliability of results.
• Collaborative Research and Data Recording: Foster multidisciplinary collaboration in a matrix organisation. This involves working cross-functionally to evaluate, develop and integrate experimental data to drive innovations in biomedical research. Maintaining robust data record-keeping as per EDDC policy, ensuring accurate documentation, and archiving of all research data in line with SOPs.
• Continual Professional Development: Maintain an up-to-date knowledge base in the field of high throughput phenomics and related disciplines. This includes staying abreast of emerging research, technological advancements, and evolving methodologies in phenomics, thereby contributing to the ongoing development and innovation within the lab"s research endeavours.

Requirements:

• Doctorate (Ph.D.) in Cell Biology, Molecular Biology, Bioinformatics, or a closely related scientific discipline
• Extensive experience in high-throughput screening methodologies, with a particular focus on High-Content Screening (HCS).
• Proficiency in fluorescence microscopy, image-based cytometry, and the application of automated image analysis techniques.
• A strong commitment to ongoing professional growth and staying abreast of current and emerging trends in high throughput phenomics and related scientific areas.
• Exceptional ability in both written and oral communication.
• Competence in presenting complex scientific data to varied audiences, encompassing both scientific and non-scientific communities.
• Demonstrated ability in handling and interpreting large-scale biological data sets.
• Proficient in the use of statistical software and programming languages relevant to bioinformatics, such as R and Python.
• A proven track record in designing and executing biological experiments.
• Evidence of scholarly contribution through peer-reviewed publications in relevant scientific fields.
• Experience in working within multidisciplinary research teams.
• Demonstrated skill in effective collaboration with both internal team members and external research partners.
• Ability to innovate and develop novel methodologies and technologies to advance phenomics research.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will be working closely with researchers from CQT and from Duke-NUS. He/she will be using quantum inspired data-science algorithms to better understand regulatory gene networks using clinical data.

Job Requirements

• The candidate must hold a PhD in numerical quantum physics or similar;
• The candidate must have a strong background in numerical computations, with expertise in exact diagonalization and/or tensor networks. Competences in neural networks will also be considered.

Summary:

In this position at IME, you will be part of Advanced Process Module (APM) team developing and maintaining LPCVD poly-Si, TEOS oxide and low stress SiN processes for SiC power and Si/Ge-based photonics devices. Besides, you will also look after oxidation and dopant activation / damage anneal process. In this role, you will work closely with SiC and Photonics process integration & device design teams as well as key customers.

Responsibilities:

• Process qualification and acceptance of LPCVD, Oxidation and Activator furnaces.
• Process development and process maintenance of LPCVD poly-Si, TEOS oxide, Low-stress SiN, ultra-high temperature oxidation, pre/post oxidation annealing, dopant activation and damage annealing for SiC power and Si/Ge-based photonics devices.
• Performing in-line and offline metrology for respective processes.
• Responsible for process quality and process deviation/ issue troubleshooting.
• To provide technical support for technology transfer and process release requirements.
• Prepare Standard Operation Procedure (SOP), Out of Control Plan (OCAP) and other technical documentation for fab line to follow.
• Design of experiments and execution for process development and troubleshooting.
• Coordination with equipment team for maintenance of the tool.
• Preparation of technical presentations, publications, and technology disclosures.
• Working with IME's power electronics-related team to solve key technical challenges in the SiC power electronics industry.

Qualifications:

• B.Sc/M.Sc in Materials Science / EE / Physics or equivalent degree with at least 8-10 years hands-on experience in the field.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Knowledge of RTP process with some experience will be a plus.

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 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.

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.

Responsibilities:

• Develop and implement overseas student recruitment plans to support enrolment targets. Focus markets include: Great China and ASEAN markets.
• Maintain and enhance relationships with existing and new university partners and agents.
• Involve in collaborative projects with local and international university and industry partners.
• Plan and execute outreach activities with overseas university partners, German academic partners and recruitment agents. Examples of such activities include programme info- sessions / scientific talks /education fairs physically and virtually.
• Source and evaluate suitable education fairs for branding and recruitment purposes.
• End-to-end lead nurturing and management – counsel prospective students through various offline and online platforms from the initial inquiry to enrolment.
• Provide analytical reports on the student recruitment trips and numbers.
• Review and refine the recruitment strategy based on the insights and findings and provide strategy reports to management before each admissions cycle.
• Explore and recommend education portals, sites or forums that we should actively engage overseas university students in.
• Initiate and manage alumni activities in China.
• Develop and execute inbound student immersion programs, hosting overseas students annually, and fostering potential candidates for postgraduate programs.
• Partner with the marketing team to develop materials that are required to market and support the planned events and share feedback from the social media platforms.
• Contribute to the development and improvement of a cohesive and integrated admissions framework.
• Undertake any other ad hoc duties related to the above-mentioned scope.

Requirements:

• Recognized degree with a minimum of 3-4 years of work experience, preferably in Recruitment or Sales.
• Experience in the tertiary education industry is highly preferred.
• Experience in recruitment work will be an advantage.
• Candidate must be willing to travel to Great China region and ASEAN countries.
• Self-starter and has the tenacity to see a plan through to execution.
• Hands-on, takes ownership of projects and possess a sense of urgency.
• Outgoing personality - able to get along well with people across all levels.
• Analytical and meticulous, with an eye for detail.
• Strong communication and writing skills.
• A team player.

UWCSEA Dover is seeking a qualified and experienced part time Teacher High School Computer Science from August 2024.

The appointee will be one of a team of 3 Computer Science teachers in the High School, teaching our Grade 9 -10 UWCSEA Computer Science courses and the IB Diploma Programme.

At UWCSEA we are looking for an educator who is committed to the UWC mission and in modelling the UWCSEA values: commitment, compassion, inclusion, integrity, openness, responsibility, trust. We strongly believe all faculty and staff are mentors to our students in the classroom and beyond. We are searching for individuals committed to the holistic growth of students, and committed to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education and Service. We are also looking for an educator who is positive and enthusiastic about creating and contributing to a school that is evolving.

Please note that to apply for this role, you must have an internationally recognised qualification and reside in Singapore. You must also be readily available from August 2024.

By applying for this job, you are committed to meet the vaccination requirement by the Singapore Government. You may refer to https://www.mom.gov.sg/covid-19/vaccination-requirements-as-a-condition-for-mom-passes for the latest requirement.

Main Responsibilities

• Teachers should be willing to contribute positively to the collaborative culture of the Computer Science department and broader High School teams.
• Teachers should construct learning experiences that challenge and inspire students, support the diversity of learners in each classroom and demonstrate a strong commitment to concept-based teaching and learning.
• Teachers should ensure assessments support ongoing learning and provide timely, relevant, and appropriate feedback to students on formative and summative assessments.
• Teachers should demonstrate effective classroom management that shows an understanding of the academic, social, and emotional dimensions of learning.
• Teachers should keep parents informed about the learning of their children, and be proactive in communication with parents.

Expectations and Standards

• Follow the UWCSEA Professional Code of Conduct and Safeguarding Code of Conduct.
• Teach in line with the UWCSEA Teacher Standards

Person Specifications

• A good degree in Computer Science or a closely related discipline and a recognized teaching qualification or certification are expected.
• Broad experience of curriculum programme development with IBDP experience a distinct advantage.
• Academic expectations include enthusiastic participation in Professional Learning.
• A commitment to diversity and inclusion is essential alongside a willingness to adapt and develop pedagogy to meet the needs of our learners.
• Pastoral expectations include the leadership of a Mentor group.
• Teachers should be willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education, and Service.
• The College expects that teachers will participate enthusiastically in the curricular Outdoor Education experiences which are relevant to their students and will also occasionally volunteer for holiday Outdoor Education trips.
• On average the College expects a yearly contribution of two sessions per week in each season to Activities and/or Service, or equivalent for a part time positions.

Applications

The UWC Mission is to make education a force to unite people, nations and culture for peace and a sustainable future. We are committed to creating a community in which all members feel safe and secure, and know that their authentic selves and individual differences are accepted with respect and care. At UWCSEA, we acknowledge that diversity, equity, inclusion and justice (DEIJ) is an ongoing and evolving process and strive to create and sustain a sense of belonging for all members of our community, past, present and future. All qualified applicants, including those who identify as a part of marginalized group(s) and individuals with (dis)abilities are all encouraged to apply. Our school is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices and all appointments are subject to interview, satisfactory references, identity and criminal record checks.

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.