Total 2,238 Science / R&D / Research job vacancies

Job Description

OXKIDS Learning Centre is seeking a dedicated and experienced Mathematics Teacher to join our team. The successful candidate will be responsible for delivering high-quality lessons aligned with the Singapore MOE syllabus, with a strong focus on PSLE preparation.

Key Responsibilities

• Conduct Mathematics lessons for Primary and Secondary students (PSLE focus)
• Deliver lessons fully in English in accordance with Singapore education standards
• Prepare lesson materials, worksheets, and assessments
• Monitor students’ academic progress and provide targeted support
• Provide regular feedback to parents on students’ performance
• Participate in curriculum development and continuous improvement initiatives

Requirements

• Bachelor’s Degree in Mathematics, Education, or related field
• Familiar with Singapore MOE syllabus and PSLE examination format
• Minimum 1–2 years of teaching experience (tuition centre or school setting preferred)
• Strong proficiency in English (spoken and written)
• Passionate about teaching and student development
• Strong classroom management and communication skills

Preferred Qualifications

• Prior experience teaching PSLE students with proven results
• Ability to handle both Primary and Lower Secondary levels
• Familiarity with differentiated teaching strategies

Salary & Benefits

• Salary commensurate with experience
• Performance-based incentives
• Professional development opportunities
• Supportive and growth-oriented work environment

This position will have responsibility for providing process support and installation of new plasma etch / clean / deposition systems at customer sites. This includes design, evaluation and documentation of process window for new installations or Lam recommended field hardware modifications / upgrades.

1. Work closely with Account team and customers to understand customer technology roadmaps, process flow, inflection points, requirements and business issues / challenges. Identify areas where Lam is able to value-add.
2. Work with Account team and customers to execute to penetration and defense strategy, including coordinating with Global Product Group on product demonstration
3. Perform startup of “capacity add” Lam systems i.e. match results to existing systems and applications
4. Design and complete simple DOE evaluations to characterize process window for new installations or Lam recommended field hardware modifications / upgrades
5. Conduct experiments and tests, collect and analyze data and generate reports for both internal and external distribution
6. Develop new processes to new and/or existing customer applications
7. Professionally represent the company to the customer. Utilize knowledge of company’s product lines and service to keep existing / potential customers informed when new/additional needs are identified
8. Develop good customer relations during start-up and trouble-shooting
9. Maintain company’s assigned equipment (computer, tool kit, diagnostic test equipment, spare parts etc) in good working condition, secure and accounted for
10. Ensure safe working condition at work site
11. Any other duties as assigned by the Immediate Supervisor

Job Requirements:

1. Engineering degree or Bachelor of Science (in Chemistry / Physics) or equivalent
2. Systematic and has an analytical mind
3. Good communication and interpersonal relations skill
4. Able to actively engage customers on technical solutions
5. Able to work in Fab environment and perform standby duties

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Hydrogel-Design-For-Regenerative-Medicine%29%2C-ChBE/29010-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    The Research Fellow will work closely with the Principal Investigator, Dr. LIN Yiliang, on the research project of hydrogel design for regenerative medicine
•    The Research Fellow will help to develop hydrogels system, perform material characterization, and investigate the application in regenerative medicine

Job Requirements

•    A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Biomedical Engineering;
•    Good publication record. 
•    Experienced bio-interface design, construction of hydrogel materials, materials characterization, and cell culture.
•    Any experience with 1) animal experiments, 2) advanced characterization techniques, and 3) soft matter mechanics and physics, is a plus
•    This position is available from Aug 2025 

Notes :

•             Locationin the West

•             OvernightShift

•             On JobTraining Provided for Research field

Job Description:

•        To screen study participants in accordance withregulatory guidelines and ethical standards.

•        To conduct informed consent discussions andensure participants understand the study's requirements.

•        To monitor patient progress and collect dataduring clinical trials, ensuring accurate documentation.

•        To administer study-related interventions as perprotocol, including medications and treatments.

•        To conduct assessments and follow-ups withparticipants, addressing any concerns and providing education.

Requirement:

•        Valid SNB & BCLS required

•        Diploma/Degree in Nursing

•        Able to perform IV Cannulation and Phlebotomy

Interested candidates please send a copy of your resume inMS Word to

Valerie@recruitexpress.com.sg

EA Personnel:  ValerieYong Kian Fung (R1103704)

Company Reg. No 199601303W

EA Licence No. 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32620-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32618-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-Research-Scientist-Remote-Sensing-Technology-&-Applications/32601-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will be responsible for leading research programmes in remote sensing technology and applications. He/she is expected to continuously enhance the scientific knowledge of the Centre and participate actively in remote sensing technology development and application projects. 

Experience in one or more of the following research areas will be advantageous:
* Atmospheric remote sensing : Atmospheric radiation, aerosols and clouds, particles/gases transport/dispersion modeling. 
* Aquatic remote sensing: Ocean optics, water quality, bathymetry and sea bottom characterization.
* Terrestrial remote sensing: Regional land cover/vegetation/biomass mapping, biomass burning, land use/Land cover change.
* Sensing technology and applications: Synthetic aperture radar, hyperspectral imaging, high resolution 3D modelling and precision mapping.
* Machine learning and artificial intelligence techniques for remote sensing applications.

Qualifications

• A Doctoral Degree in Science, Engineering, or in other relevant disciplines with at least 8 years of research experience in remote sensing or related fields.
• Ability to lead a team of researchers as a Principal Investigator in various research projects.

Other qualities we are looking for:
* In-depth knowledge of advanced digital data/image processing techniques and applications 
* Solid experience and skill in scientific and engineering computing 
* Ability to develop and implement data/image processing and/or machine learning algorithms 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32616-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32614-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

We are seeking a highly motivated R&D Engineer to join our Product Research team. This role is responsible for designing and executing experimental studies, developing data processing and algorithmic solutions, and contributing to the development of next-generation medical technologies.

The successful candidate will work at the intersection of physiology, signal processing, and system design, supporting the full life cycle from data acquisition to analytical insight and product integration.

Key Responsibilities

Experimental Design & Validation

·       Design and execute internal clinical and non-clinical studies

·       Develop test protocols, data collection methodologies, and validation frameworks

·       Ensure data quality, reproducibility, and adherence to relevant standards

Data Analysis & Algorithm Development

·       Develop and maintain data processing pipelines using Python

·       Implement signal processing, statistical, and machine learning algorithms

·       Analyze physiological data to extract meaningful features and insights

·       Evaluate performance across varying conditions and edge cases

System Development & Integration

·       Contribute to the design of sensing and data acquisition systems

·       Support integration of hardware, firmware, and software components

·       Develop internal tools to support experimentation and analysis workflows

Research & Investigation

·       Investigate anomalies, signal artifacts, and unexpected results

·       Conduct literature reviews and apply cross-domain knowledge

·       Translate research findings into practical engineering solutions

Education

·       Bachelor’s, Master’s, or PhD inBiomedical Engineering, Electrical Engineering, Computer Science, or a related field

Technical Skills

·       Strong proficiency in Python for data analysis and algorithm development

·       Experience with signal processing and time-series data

·       Familiarity with scientific computing libraries (e.g., NumPy, SciPy, Pandas)

·       Understanding of statistical methods and experimental design

Experience

·       Experience in R&D, product development, or applied research

·       Exposure to biomedical signals (e.g.,PPG, ECG, respiratory signals) is advantageous

·       Familiarity with clinical studies or validation processes is a plus

·       Experience with sensors, embedded systems, or hardware integration is beneficial

·       Core Competencies

·       Strong analytical and problem-solving skills

·       Ability to design structured experiments and interpret results rigorously

·       Systems thinking with attention to detail

·       Intellectual curiosity and a proactive approach to learning

·       Ability to work independently and collaboratively in a multidisciplinary team

What We Offer

·       Opportunity to work on cutting-edge medical technologies

·       Direct impact on product innovation and patient outcomes

·       Collaborative and research-driven work environment

·       Exposure to interdisciplinary challenges across hardware, software, and data science