Job Description:

Are you eager to dive into the world of cutting-edge electronics? Join us as a Heterogeneous Integration Assistant Laboratory Officer/laboratory Officer and become a key player in advancing next-generation technology. In this role, you’ll gain hands-on experience with state-of-the-art equipment and contribute to groundbreaking research in electronic module integration.

Key Responsibilities:

• Heterogeneous Integration: Engage in the complete processes of semiconductor package assembly, including die preparation (dicing and back-grinding)
• Equipment Operation: Operate and maintain various high-tech instruments/equipment used in the heterogeneous integration processes, ensuring they are in optimal condition and ready for use.
• Process Support: Manage equipment readiness, and ensure the availability of processing materials, and support assembly lap operations
• Inspection and Analysis: Conduct metrology inspections and analyse colour coded data to ensure the highest quality of assembly processes

What You’ll Gain:

• Cutting-Edge Experience: Work on the latest assembly and packaging equipment in heterogeneous integration and contribute to innovative research in advanced electronics.
• Professional Growth: Receive hands-on training on assembly & packaging equipment operations and mentorship from experienced professionals, with opportunities for career development within a forward-thinking company.
• Collaborative Environment: Be part of a dynamic team that values your input and fosters a culture of learning and collaboration.

Qualifications:

• Diploma or ITE graduate in Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, or Electronics.
• We value enthusiasm and a willingness to learn over extensive experience.
• Strong communication skills, industry awareness, and problem-solving abilities.
• Highly motivated and a proactive self-starter with the ability to work effectively in a team.

Why Join Us?:

At "Institute of Microelectronics", we are dedicated to developing talent and providing our team members with the tools and support they need to succeed. We offer a vibrant and inclusive work environment where innovation thrives. Enjoy a range of benefits including ongoing training, career progression opportunities, and the chance to work on pioneering projects.

Apply today and start your journey with us in the exciting field of heterogeneous integration!

Job Description:

We are looking for talented and highly motivated candidate to work on the research and development of flat optics. The recruited scientist will work in the National Semiconductor Translation and Innovation Centre (NSTIC), managed by A*STAR.

The candidate should have a solid background and hands-on experience in the research of optics. Candidate shall be able to perform independent research and solve challenging problems together with the team to deliver high impact results.

The main work scope of the position is as follow:

· Design and simulation of flat optics, including using machine learning method.

· Micro-nanofabrication of flat optics and their characterization.

· Technology development and translation to industry applications.

Job Requirements:

· PhD in Physics or Optics, Photonics, Electrical Engineering, Materials Science

· Hands-on experiences on flat optics or metaoptics are added advantages.

· Good team player, resilient in tackling challenge, effective communication ability.

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 Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

Project Overview

We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI empowers people and the city in Singapore (M3S).

With the recent emergence of large language models (LLMs), the research engineers will assist in investigating how data-efficient and resource-efficient techniques, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, active learning, can be applied in the context of LLMs (as well as important issues involving AI privacy, model auditability and updatability).

Responsibilities

• Research on topics related to data-efficient machine learning, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, and active learning, in the context of LLMs.
• Investigate how these concepts as well as important issues involving AI privacy, model audibility, and updatability can be applied in the context of LLMs.
• Develop, implement, and evaluate experiments to characterise the feasibility and performance of the proposed research ideas.
• Collaborate with other PhD and undergraduate students to publish research results in top-tier conferences and journals, with focus on venues associated with the above-mentioned areas .

The research engineer will be jointly advised by Prof. Daniela Rus (MIT CSAIL), Prof. Alex 'Sandy' Pentland (MIT Media Lab), and Assoc. Prof. Bryan Low (NUS School of Computing), and based at SMART (Singapore-MIT Alliance for Research & Technology) in Singapore. The research engineer will have the opportunity to collaborate with PhD and undergraduate students, as well as Postdoctoral Fellows, within our research groups.

For more information on our research group and interests, visit

https://danielarus.csail.mit.edu/

https://www.media.mit.edu/people/sandy/overview/

https://www.comp.nus.edu.sg/~lowkh/research.html

Requirements

• Degree or Masters Degree in Computer Science, Machine Learning, Artificial Intelligence, or other related disciplines.
• Strong publication record at premier AI/ML venues such as ICML, ICLR, NeurIPS, CVPR, ACL, EMNLP or similar.
• Strong proficiency in programming.
• Strong proficiency in English and communication skills.
• Experience with machine learning and deep learning frameworks such as Pytorch, Tensorflow, among others.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

The Research Assistant / Senior Research Assistant will conduct research in deep learning and Artificial Intelligence, perform experiments, and publish research papers in top-tier venues.

Qualifications & Experiences:

• Bachelor's / Master's degree in computer science, engineering, or a related field with a focus on computer vision, and an advanced level of understanding and expertise in the field.
• Proficiency in programming languages (Python)
• Familiarity with computer vision libraries and tools (such as OpenCV, TensorFlow, PyTorch) is essential.

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 Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

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 Research Associate in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on two-year contract, with the possibility of further extension.

Purpose of the post

We are looking for a highly motivated individual to coordinate data collection and support research operations under the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. The Research Associate will be responsible to, and work closely with, the Principal Investigators and study team members to ensure the successful completion of GUSTO projects on time. The RA’s principal role will be to work in general practices such as data collection, data entry and analysis and drafting of publications and reports.

Main Duties and Responsibilities

The Research Associate will liaise with the relevant personnel to smooth the process of recruitment and data collection and will be accountable to the Principal Investigator(s).

The Research Associate will be expected to:

1. Conduct surveys and interviews with children, adolescents, and parents at KK Children’s and Women’s Hospital
2. Manage the participant reimbursement schedule
3. Maintain data security and confidentiality according to PDPA
4. Draft ethics approval forms in accordance with IRBs
5. Conduct extensive work with data, including organization, cleaning, coding, and analysis
6. Train and supervise undergraduate research assistants
7. Provide timely updates of the study to PI/Project Manager
8. Work flexibly with participants across a range of settings (e.g., hospital, university research lab), and hours (e.g., some weekends and evenings)
9. Additional research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
10. Perform literature review, data analysis and drafting of reports and publications

Qualifications

• Bachelor’s or Master’s degree in Psychology, Social Sciences, or related disciplines
• Strong background in developmental research and experimental design
• Good statistical background (e.g. Microsoft Office, SPSS, R)
• Experiences working with parents and children preferred
• Excellent written and oral communication skills

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

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

Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators;

Requirements

• A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in federated learning, Bayesian optimization, or privacy/security research in data sharing would be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation skills in English

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One postdoc position is available at the Surface and Interface Lab of Prof. CHEN WEI’s group at National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for electrocatalytic CO2RR under a project on CREATE Program: “Development of Advanced Catalysts for Electrochemical Carbon Abatement”.

The project focuses on the interface engineering for electrocatalytic CO2RR. The selected candidate will work together with a team comprising experts in interfacial analysis about electrocatalytic CO2RR reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• The candidate shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.

Skills:

• Excellent English writing and communication skill,
• Team management skill (help PI to lead a small research team with 1-2 master students),
• Expert in CO2RR-based catalysts synthesis, structural characterizations using TEM/SEM/AFM/XRD/UV-Vis/GC-MS, surface science techniques of XPS/UPS, NAP-XPS, and electrochemical applications (electrocatalytic CO2RR) of these materials.

Experience:

• The candidate shall have extensive experience in CO2RR-based catalysts synthesis, interfacial analysis and electrochemical applications (electrocatalytic CO2RR) of these materials.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore is actively seeking a Research Engineer to contribute to a groundbreaking research project. This research explores the efficacy of integrated nature-based solutions in sediment erosional control and coastal protection. The goal is to develop innovative, physically based models that quantify the protective benefits a vegetation meadow can offer to shorelines.

The Research Engineer will participate in experimental research, with a specific focus on studying sediment flux in hybrid solutions to coastal protection. He/she will lead and execute flume experiments, data analysis and field sampling as well as specific tasks which includes planning and conducting experiments, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

He/she will work need to work with Assistant Professor Gary Lei from Civil and Environmental Engineering and Dr. Ow Yan Xiang from the Tropical Marine Science Institute (TMSI) at NUS. Ideally, we are interested in candidates with prior experience with laboratory experiments.

Job Requirements

• Possess a bachelor’s degree in environmental engineering /Environmental Science/ Mechanical Engineering, or a closely-related field.
• Priority will be given to applicants who have prior research experience in coastal engineering, aquatic plants science, eco-hydraulics, and/or environmental fluid mechanics.
• Strong verbal and written communication skills.
• Proficient with Microsoft Suite and R, or other equivalent analytic software.
• 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

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

A research fellow position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of Environmental and Cancer Epidemiology.

Major duties and responsibility of the position include but are not limited to:
• Data collection and management
• Data analysis using software such as R, Stata or SAS.
• Preparation of reports, presentations, manuscripts.
• Writing grant proposals
• Provide mentorship to graduate students and research assistants

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Strong written and verbal communication skills are required, along with a record of relevant publications in peer-reviewed journals. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Excellent proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a PhD Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application. In your statement of interest, please highlight your relevant experience and interest in environmental and cancer epidemiology research.

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:

A research assistant position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of Environmental and Cancer Epidemiology.

Major duties and responsibility of the position include but are not limited to:
• Data collection and management
• Literature review
• Data analysis using software such as R, Stata or SAS.
• Designing, testing, and administering surveys and questionnaires
• Research coordination
• Preparation of reports, presentations, manuscripts.

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Candidate must possess excellent written and verbal communication skills. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Good proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a Bachelor’s Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application. In your statement of interest, please highlight your relevant experience and interest in environmental and cancer epidemiology research.

We regret that only shortlisted candidates will be notified.

Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software development

Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software development

Job Description

Dr Chen Jinmiao is looking for a motivated Research Associate to join the Centre for Computational Biology (CCB) who will participate in AI-powered analysis of single-cell and spatial omics for precision medicine. Dr Chen’s research team develop AI algorithms for spatial and single-cell omics, integrates publicly available data into a centralised hub, and utilises this platform to build AI models for discovering biomarker and drug targets.

The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator, including but not limited to the following:

• Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data.
• Independently carry out computational and bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies.
• Application of qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and evaluation of -omics data sets, conceptualize new ideas and develop plans for independent research in the field of single-cell and spatial omics and other -omics data modalities.
• Write and review research papers and present research outcomes.
• Perform routine duties related to the research study, such as data curation and making data backups, as required.
• Contribute to project management, provide guidance to junior researchers as well as undergraduate and graduate students, occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in a related scientific area (e.g., AI, Deep Learning, Machine Learning, Statistics, Database, Bioinformatics, Computational Biology, Computer Science, Data Science, Data Analytics, Biology) with demonstrated hands on experience in bioinformatics and genetics/genomics data analyses.
• Familiar with and experienced in handling and manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq, etc.
• Proficient in R / Python and Linux / Bash.
• Prior experience and working knowledge of additional computational platforms and applications (e.g. Quantum computing, Perl, Java, etc.) preferred.
• 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.

Job Description

1. Perform research in the following areas:

a. Global performance analysis, and/or

b. Global structural response analysis

2. Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

3. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

4. Any other duties as assigned by supervisor.

Job Requirements

· Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

· Preferably having relevant research/industry experience with competent knowledge in some of the following areas: Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.

· At least 5 years of experience

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

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

o Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Good command of written and spoken language.

· Resourceful and self-driven with a high degree of professional integrity.

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

IFCHOR GALBRAITHS is a globally recognised, international shipbroker with 20 offices and over 300 employees globally.

We pride ourselves in delivering a high quality, service minded approach, through our extensive network of proactive team of brokers in strategic locations worldwide.

As part of our expansion, we are currently looking for a young professional intern to join and contribute to the continued development of our highly regarded research team and the further success of a world-leading shipbroking house on a professional internship.

The successful candidate will be based at our office in Singapore. Duration of Internship will be around 6 months.

Job Title

Assistant Market Research Analyst (Internship)

Role Description

The executive role will be part of our in-house market research arm that provides freight market analysis and actionable intelligence to the other business units (ship broking, S&P and finance) and their clients.

Tasks and responsibilities:

· Play an active role in further developing and automating routines, procedures used for processing various type of market-related data

· Develop recognized expertise in specific commodity (minor bulks, specifically) and shipping markets

· Conduct fact-based research and analysis to support the production of actionable intelligence

· Keep track of the latest market developments, develop price views and provide related communication and recommendations to commercial teams

· Assist with publication of research commentaries and other studies and presentations

· Any other ad-hoc duties as assigned

Profile - qualifications and capabilities:

· Any degree with strong interest in Commodity and/or Freight Analysis is welcome

· Passion in numerical/data analysis

· Basic MS Excel proficiency, soft programming (e.g. VBA & SQL, shell scripting) and databases skills (e.g. Access or mySQL)

· Strong communication skills with the ability to communicate with various internal and external stakeholders

· Enjoy working in a small knitted team and able to perform under pressure

· Independent and self-motivated, highly reliable and readiness to take on responsibility

· Fluent in written and spoken English. Other languages a plus

Please submit your application via email to [email protected]

Please note that we will only respond to applicants who correspond to the profile.

Mathematics and Science Tutor

Working Days & Hours: Discuss During Interview
Working Location: Ho Chi Minh, Vietnam
Salary Range: $5000 (nego)

We are seeking dedicated Mathematics and Science Tutors to join our international educational team. The tutors will be based in Vietnam but may be required to travel in the region. These roles involve teaching mathematics and science across various levels, including Primary, Secondary, Junior College (JC), and International Baccalaureate Diploma (IB DP) programs. The ideal candidate will have a strong background in mathematics and/or science education, proven teaching skills, and the ability to adapt lessons to meet the needs of diverse student groups.

Job Responsibilities:

• Plan, prepare, and deliver engaging and effective math lessons that cater to the needs of students at Primary, Secondary, JC, and IB levels.
• Assess and evaluate students’ progress and provide timely feedback to help them improve.
• Develop and use instructional materials suitable for various educational stages and learning abilities.
• Maintain accurate records of students’ progress and development.
• Communicate regularly with parents and guardians regarding students’ progress and potential areas for improvement.
• Stay updated with the latest educational trends and methods in mathematics education.
• Encourage a positive learning environment that motivates and challenges students to excel in mathematics.
• Offer extra help with day-to-day and long-term assignments to ensure students meet course requirements.

Job Requirement:

• Bachelor’s Degree in Mathematics, Science or equivalent
• Relevent Experience in IB programs

WhatsApp: +65 9642 0989 (Han)

Email: [email protected]

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

We are seeking a highly skilled High-Speed IO Modeling designer to join our team. The ideal candidate will have a strong background in Electrical or Computer Engineering (Masters/PhD) , with a focus on high speed circuit modeling, statistical analysis, jitter analysis, digital signal processing, and signal integrity. The successful candidate will play a crucial role in developing IO performance models for chiplet-based high-speed communication protocols and generating complete high-speed link performance matrices based on advanced packaging.

Key Responsibilities:

• Develop IO performance models (Tx, Rx) for chiplet-based high-speed communication protocols such as UCIe, AIB, and others.
• Create complete high-speed link models by integrating IO performance models with advanced packaging interconnects.
• Generate comprehensive high-speed link performance matrices, considering various parameters such as technology node, area, latency, power, number of channels, micro bump pitch, and frequency of data rates.
• Collaborate with cross-functional teams to ensure the successful integration of IO performance models into the overall system design.
• Develop parameterised PDN model and fluent in analysing SI and PI simulations
• Stay up-to-date with the latest advancements in high-speed IO modelling techniques and technologies, and apply this knowledge to improve existing models and develop new ones.

Required Qualifications:

• Master's degree in Electrical or Computer Engineering with 2+ years of relevant experience, or a PhD in Electrical or Computer Engineering with 1+ years of relevant experience.
• Strong understanding of package/interconnect/I-O modelling, statistical analysis, jitter analysis, digital signal processing, and signal integrity.
• Experience in mixed-signal circuit design for High-Speed IOs (e.g AIB, AXI, UCIe).
• Proficiency in IBIS-AMI specification and model creation using Keysight ADS.
• Programming and scripting skills in one or more of the following: Python, Perl, C/C++, TCL, or AEL.

Preferred Qualifications:

• Ability to develop and implementing high-speed IO performance models using industry-standard tools/methodologies.
• Experience with advanced packaging technologies and their impact on high-speed link performance.
• Strong problem-solving skills and the ability to think creatively to overcome technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Roles and Responsibilities:

• TCAD modeling, simulation, and innovative design of high power electronics devices, as well as device characterization.
• Develop and simulate high power SiC MOSFETs (planar, trench, Super-Junction MOSFET, IGBT) with a blocking voltage exceeding 1.2K using the industry-standard Synopsys/Silvaco simulator.
• Create and simulate practical & efficient junction terminations.
• Model transport and carrier scattering in devices operating under extreme ambient conditions.
• Serve as a valuable resource for colleagues with lesser TCAD power electronics experience and take lead in group projects with managing risks & resource requirements.
• Foster close collaborations with both internal and external customers to fully understand customer issues and requirements.

Job Requirements:

• PhD Degree in Electrical Engineering or related field.
• >2-3 years industrial experience for high power devices design and modeling.
• Thorough understanding of different types of high-voltage, high-power MOSFETs including Planar, Trench, Super-Junction MOSFETs, and IGBTs, with a focus on design and device characterizations.
• Hands-on skill in designing MOSFET/diode layouts.
• Excellent communication skills to effectively engage with customers, address their needs, resolve issues, and meet demands.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmwave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to lead our Technology-Business Development (Tech-Biz) department. You will be responsible for leading the department to define and implement our strategies for technology-business development, account management, sales and marketing, and ecosystem development. If you"re excited about the future of microelectronics and wish to contribute to the development of Singapore’s innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Technology-business Development: Lead the department to define and develop strategies for technology translation.
• Customer Relationship Management: Lead the department to win and retain industry partners and customers for high-value and sustainable engagements.
• Sales: Collect, maximise leads and close customer collaboration projects.
• Marketing: Develop and execute marketing strategies to promote IME’s research capabilities to the industry. Represent IME at international conferences and exhibitions.
• Collaborate with Technology Development (TD) Teams: Partner with our "Technology Development" teams to craft robust value propositions for the industry and shape IME’s ‘go-to-market’ strategy. Detect, track and provide market trends and needs for the TD teams.
• Ecosystem Development: Liaise, coordinate and engage effectively with key internal stakeholders, including A*STAR’s Industry and Enterprise Group, other economic agencies and public sector agencies, to align efforts and achieve common goals for the Singapore semiconductor ecosystem.

Job Requirements:

• Degree in Science or Engineering.
• At least 10-15 years of relevant work experience.
• Able to structure and negotiate collaboration agreements.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Strong analytical skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor industry.

Roles and Responsibilities:

• TCAD modeling, simulation, and innovative design of high power electronics devices, as well as device characterization.
• Develop and simulate high power SiC MOSFETs (planar, trench, Super-Junction MOSFET, IGBT) with a blocking voltage exceeding 1.2K using the industry-standard Synopsys/Silvaco simulator.
• Create and simulate practical & efficient junction terminations.
• Model transport and carrier scattering in devices operating under extreme ambient conditions.
• Serve as a valuable resource for colleagues with lesser TCAD power electronics experience and take lead in group projects with managing risks & resource requirements.
• Foster close collaborations with both internal and external customers to fully understand customer issues and requirements.

Job Requirements:

• PhD Degree in Electrical Engineering or related field.
• >2-3 years industrial experience for high power devices design and modeling.
• Thorough understanding of different types of high-voltage, high-power MOSFETs including Planar, Trench, Super-Junction MOSFETs, and IGBTs, with a focus on design and device characterizations.
• Hands-on skill in designing MOSFET/diode layouts.
• Excellent communication skills to effectively engage with customers, address their needs, resolve issues, and meet demands.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmwave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to lead our Technology-Business Development (Tech-Biz) department. You will be responsible for leading the department to define and implement our strategies for technology-business development, account management, sales and marketing, and ecosystem development. If you"re excited about the future of microelectronics and wish to contribute to the development of Singapore’s innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Technology-business Development: Lead the department to define and develop strategies for technology translation.
• Customer Relationship Management: Lead the department to win and retain industry partners and customers for high-value and sustainable engagements.
• Sales: Collect, maximise leads and close customer collaboration projects.
• Marketing: Develop and execute marketing strategies to promote IME’s research capabilities to the industry. Represent IME at international conferences and exhibitions.
• Collaborate with Technology Development (TD) Teams: Partner with our "Technology Development" teams to craft robust value propositions for the industry and shape IME’s ‘go-to-market’ strategy. Detect, track and provide market trends and needs for the TD teams.
• Ecosystem Development: Liaise, coordinate and engage effectively with key internal stakeholders, including A*STAR’s Industry and Enterprise Group, other economic agencies and public sector agencies, to align efforts and achieve common goals for the Singapore semiconductor ecosystem.

Job Requirements:

• Degree in Science or Engineering.
• At least 10-15 years of relevant work experience.
• Able to structure and negotiate collaboration agreements.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Strong analytical skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor industry.