JOB DESCRIPTION

NGTC (National GaN Technology Centre) in IME is looking for a talent to join its Technology Team for R&D developments. The qualified candidate has opportunities to participate in technical tasks related to RF GaN foundry for the applications up to 140 GHz. This includes the following area:

• Perform experiments to analyse and determine the root cause of failure in GaN devices (e.g. Transistors, Capacitors, Inductors, Resistors, and Diode) and circuits.
• Join the cross-functional teams on appropriate FMEA (Failure Mode Effects & Analysis) techniques to establish an understanding of the failure mechanisms of the devices.
• Drives device reliability/qualification activities, and data correlation studies.
• Manage large & disparate data sets and distil information into concise presentations with possible recommendations as quick feedback to the engineering team.
• Develop new FMEA techniques to improve detection capability, productivity or process optimization.

JOB REQUIREMENT

• PhD degree in Electrical Engineering (EE), Materials Science or Physics, MS degree in EE with 5+ years or BS degree with 7+ years of relevant working experiences.
• > three-year of FMEA experience in step-by-step approach for identifying all possible failures in the semiconductor industry.
• FMEA experience in Wide-Bandgap (WBG) devices (GaAs, GaN) is plus.
• Good knowledge of WBG device physics and its fabrication is a big plus.
• In-Depth understanding of FMEA techniques (e.g. delaying of devices/chips by wet etching or plasma etching and its data analysis) with good hands-on experience in using different analytical techniques (e.g. SIMS, XPS, AES, SEM, FIB-SEM, TEM, AFM, etc.)
• Understanding of semiconductor device qualification standard such as JEDEC.
• Excellent report writing and presentation skills, able to robustly defend data analysis and conclusions where necessary.

OTHER ESSENTIAL ATTRIBUTES

• Good team-player personality, able to pro-actively engage with other groups
• Self-motivated, energetic, able to delivery in time

About the Scientific Data Strategy Office at A*STAR

With data at the core of A*STAR's vision to be Singapore's Data, AI, and Hybrid Compute node for scientific research, the newly established Scientific Data Strategy Office (SDSO) is responsible for strategizing the delivery of Whole-of-A*STAR data products and services. The SDSO also advocates for data literacy and partnerships to create value while ensuring safe usage of scientific data through best practices.

To realize these ambitions, the SDSO is tasked with:

1. Establishing A*STAR's scientific research data management framework:

• Developing and updating policies to promote good data management practices.
• Enforcing data security and compliance with standards, agreements, and regulatory requirements.
• Collaborating with other public or private sector data departments on data quality, standards, and interoperability.

2. Establishing A*STAR's scientific data architecture:

• Defining data products from new and existing cross-domain scientific data assets to support research use cases.
• Forging strategic data partnerships at both national and international levels to enrich A*STAR's data assets.
• Developing best practices for data engineering to transform data assets into products.

3. Establishing A*STAR's scientific data advocacy framework:

• Defining data services from new and existing cross-domain scientific data assets to empower Whole-of-A*STAR to be more data-driven through self-help.
• Developing data advocacy initiatives to raise awareness and literacy in scientific data management, products, and services.
• Connecting A*STAR's data framework with other national (e.g., MOH's TRUST and GovTech's enTRUST) and global data frameworks.

Job Descriptions

We are seeking an experienced Data Management Specialist (DMS) to join A*STAR. Reporting to the Director of the Scientific Data Strategy Office (SDSO), the DMS will support the development and implementation of A*STAR's scientific research data management activities, enhancing data accessibility, quality, and security to foster innovation and collaboration across research teams.

Key Responsibilities:

• Framework Development: Develop and enhance A*STAR's scientific research data management framework and guidelines, including data classification, ownership, and stewardship, leveraging proven frameworks and best practices.
• Policy Implementation: Define and implement data exploitation policies and processes across research teams and departments within A*STAR, ensuring data access, quality, and usability.
• Service Definition: Define and maintain data management services to promote and ensure the safe and secure usage of A*STAR scientific data.
• Data Sharing: Develop data sharing policies and agreements to support external data exploitation for scientific research purposes.
• Quality and Standards: Provide requirements on data quality, standards, and interoperability/collaboration within and beyond A*STAR.
• Evaluate Impact: Establish an evaluation framework to measure the value and impact of the SDSO's data management strategies and initiatives.
• Advise on Trends: Provide insights and updates to A*STAR management and research staff on industry trends, standards, relevant data laws, and regulatory requirements related to data management, recommending appropriate modifications to existing policies and practices.

Job Requirements:

• Experience: 5-8 years of experience in data management, with prior experience in developing and implementing data management frameworks and policies.
• Education: Bachelor's degree in Computer Science, Data Analytics, Data Science, Data Engineering, Information Management, or a related field. A Master's degree or certifications in data management are preferred.
• Technical Skills: Deep understanding of data management strategies, practices, policies, procedures, data security standards, and privacy laws.
• Analytical Skills: Strong analytical capabilities to assess the efficacy of data management strategies.
• Mentorship: Ability to mentor junior officers.
• Communication: Excellent communication, presentation, and interpersonal skills.
• Organizational Skills: Strong organizational skills and attention to detail.
• Proficiency: Proficient in relevant data engineering tools and applications.
• Contextualization: Ability to contextualize government policies and industry best practices in data management within A*STAR's context for scientific data.
• Collaboration: Ability to work effectively with various data-relevant stakeholders across A*STAR entities.

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 Title: Heterogeneous Integration Laboratory Officer

Job Description:

Are you a recent graduate eager to dive into the world of cutting-edge electronics? Join us as a Heterogeneous Integration 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 process of module integration, including die preparation (dicing and back-grinding) and combining components into fully functional modules.
• Equipment Operation: Operate and maintain various high-tech instruments used in the heterogeneous integration process, ensuring they are in optimal condition and ready for use.
• Process Support: Manage equipment readiness, ensure the availability of processing materials, and perform critical tasks in the integration process.
• Inspection and Analysis: Conduct metrology inspections and analyse color-coded data to ensure the highest quality and precision in integrated modules.

What You’ll Gain:

• Cutting-Edge Experience: Work with the latest technology in heterogeneous integration and contribute to innovative research in advanced electronics.
• Professional Growth: Receive hands-on training 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.
• Experience in semiconductors device fabrication or packaging and assembly equipment operations or processes will be added advantage.
• 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.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

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

• To perform safety-related work such as

(a) Conduct safety training / briefing for personnel who needs to work in the cleanroom;

(b) Carry out periodic emergency response drill to familiarize personnel with standard evacuation and response procedure;

(c) Carry out periodic inspection of safety facility such as eyewash & shower, chemical spill absorbent, fire extinguisher, etc.

(d) To monitor users’ activities on CCTV for any irregularities.

• To respond to an emergency call during and after office hour. The emergencies can be a building fire alarm, a fab evacuation alarm which can be a hazardous material spill or a leak or a medical emergency situation.
• To assess the situation and discuss a coordinated response plan with both Safety Manager and Lab Manager based on Emergency Response Plan (ERP)
• To be on standby / on-site for ad-hoc / extended hours lab operations request;
• To learn and have some understand of the chemistry for each individual tools and new projects to ensure Industrial Hygiene for the lab and users are met.
• To follow up, understand changes and make assessment on the safety aspect for tool continuous improvement process (CIP)
• To liaise with supplier for maintenance / procurement of ERT equipment / supplies;
• To perform risk assessments for the research activities related to E5 Cleanroom process and equipment.
• Support the development and implementation of Safety & Health Management System for AMAT-NUS Corp Lab conducting materials research.
• To support on Safety audits
• Any other duties as assigned.

Qualifications

• Diploma/ Degree knowledge and demonstrated experience in the laboratory safety management.
• Awareness of local safety regulations and some experience in developing and implementing Workplace Safety & Health Management System and Programmes.
• Understanding of the scientific and safety-related issues of materials research protocols and ability to review the risk assessments of such protocols.
• Knowledge and understanding of material safety principles, policies, and procedures.
• Effective communication (verbal and technical writing) skills, excellent customer service skills with attention to detail.
• Well verse with Microsoft office and good documentation control. IT application knowledge will be an advantage.

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 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.

Key Responsibilities:

1. Preparation and Setup:Prepare and organize laboratory materials, equipment, and samples.
   Set up laboratory apparatus for experiments and tests.
   Ensure all required chemicals, tools, and equipment are ready and functioning.
   
2. Assisting in Experiments:Assist in practical lessons in carrying out experiments and tests.
   Take measurements and record data accurately during research projects.
   Operate laboratory equipment under supervision, following safety protocols.
   
3. Sample Management:Collect, label, and store samples according to standard procedures.
   Ensure that samples are correctly handled and maintained for future analysis.
   
4. Equipment Maintenance:Clean, maintain, and troubleshoot laboratory equipment.
   Ensure that all instruments are calibrated and in good working condition.
   Assist in the setup and disassembly of experiments and equipment.
   
5. Data Management:Record, compile, and process data accurately.
   Prepare reports or assist in preparing research summaries for review.
   Enter experimental data into databases or spreadsheets.
   
6. Safety and Compliance:Follow laboratory safety protocols and adhere to safety standards to ensure a safe working environment.
   Handle hazardous materials and chemicals safely, with proper disposal practices.
   Assist in the maintenance of lab documentation and compliance with regulations.
   
7. Inventory and Supply Management:Monitor inventory levels of laboratory supplies, chemicals, and equipment.
   Order new supplies when needed and manage stock to avoid shortages.
   

Skills and Qualifications:

• Educational Requirements: Minimum high school graduate in science stream. or equivalent is typically required; however, a postsecondary degree or certification in a scientific field (e.g., biology, chemistry, or laboratory technology) may be preferred. Retired personnal are welcome too.
• Technical Skills: Familiarity with laboratory instruments and techniques is important. Basic computer skills for data entry and analysis are also necessary.
• Attention to Detail: Accurate data recording and adherence to protocols are essential.
• Communication: Ability to communicate in English.

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.

Panel Assistant Position (Part-time) in Singapore SSC

MMR is an independent, global consumer and sensory research agency specializing in food, drink, personal and household care research. We are industry leaders, guiding best in class innovation for our clients – partnering with over 50% of the top 100 global food and drink brands. The chances are the last time you went to the supermarket, you bought something that we’ve influenced on its way to the shelves.

We are looking for a proactive individual to join our sensory team as a part-time Sensory Panel Assistant for a 9 month fixed term contract based in Singapore.

The Sensory Panel Assistant reports to the Sensory Manager, assisting them to ensure that sensory projects run smoothly by managing all activities related to the sensory panels’ sessions, overseeing sensory laboratory productivity, and supervising kitchen technicians.

This will be a 9 month fixed term contract starting immediately, running until September 2025

Hours of Work: 3 days - Tuesday and Thursday 9-6pm and Wednesday 9-1pm

Flexibility required according to panel schedule (additional time may be required if more panel sessions or reduced hours if panel session hours are shorter)

Location: Harbourside 1, 1 Boon Leat Terrace, S119843 #05-01

Rate: SGD 14

Responsibilities:

• To assist in all aspects of the running of the Sensory Panel sessions including research, source, prepare and manage products and sensory references for sensory panel sessions
• Receive, store, inventory and prepare samples/materials for all sensory panel sessions
• Ensure that all activities carried out comply with basic food hygiene standards within the laboratory – Basic food hygiene training will be provided.
• To ensure the Sensory Panel working area is prepared appropriately in good time for each session and cleared/cleaned after
• To manage day to day activities of support technicians/helper/cleaners where they are available for more basic or routine tasks
• To assist in the preparation and set up of recruitment screening sessions, making up screening solutions/products, and facilitating the sessions with candidates in the booth area
• To monitor the quality of food samples and test procedure and ensure appropriate records are maintained.  This includes temperature logs for freezers/fridges, cooking logs, inventory logs with BB/Use by dates.
• To assist the Sensory SRE/Manager or any other member of the Sensory Science Centre with any other tasks as required.      
• Responsible for general maintenance and organization of work areas ensuring escalation of any issues if cannot be resolved on own

• To assist in the preparation and set up of recruitment screening sessions, making up screening solutions/products, and facilitating the sessions with candidates in the booth area
• To monitor the quality of food samples and test procedure and ensure appropriate records are maintained.  This includes temperature logs for freezers/fridges, cooking logs, inventory logs with BB/Use by dates.
• To assist the Sensory SRE/Manager or any other member of the Sensory Science Centre with any other tasks as required.      
• Responsible for general maintenance and organization of work areas ensuring escalation of any issues if cannot be resolved on own
• Creation of clear and logically formatted product inventories for every project making use of templates where appropriate, collating product detail in PowerPoint format using MMR templates and formatting.
• Assist with documentation of project samples by collation of pictures throughout the project cycle – e.g. pictures of pack, product preparation, product serve, references and any other detail relevant for sharing with client or for future understanding by the project team

Preferred Qualifications:

• Basic Food Hygiene qualification / an aptitude for food preparation with limited supervision needed

• Excellent organizational skills and the ability to multi-task and work effectively in a fast-paced environment

• Strong collaboration and communication skills
• Being able to function well within a team
• Able to work independently, a self-starter who likes to take initiatives with a logical, analytical mind.
• Computer literate, with knowledge of Microsoft Word, Excel and Outlook. (Training will be given in the relevant software packages)
• Innovative – finding solutions to problems whilst maintaining and observing robust scientific principles
• Natural passion for seeking out the most effective and efficient ways of working and being prepared to speak up about your ideas
• A plus: being a lover of good food and passionate about cooking

MMR Research Worldwide is an Equal Opportunities Employer.

Job Description:

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.

This position is based in Singapore.

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).

Experience:

• NITEC/ 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

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.

Job Description:

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.

This position is based in Singapore.

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).

Experience:

• NITEC/ 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

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.

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 resourceful and motivated individual to join our dynamic team. As a member of the Corporate Services (CS) team, you will manage the purchasing function in IME, ensuring operations run efficiently and effectively.

Job Responsibilities:

• Manage the tender documentation and processes, working with stakeholders on tender requisition, evaluation, seeking approval for award and contract management.
• Implement Procurement Policies and Procedures to align with business needs, offering guidance to stakeholders to support informed purchasing decisions, while balancing public accountability, prudent use of resources and operational efficiency.
• Conduct training of Procurement Policies and Procedures to stakeholders.
• Perform demand aggregation in partnership with stakeholders.
• Manage purchase orders, track delivery timelines, and ensure timely receipt of goods and services.

Job Requirements:

• Minimum 3 years of relevant experience in procurement.
• A good understanding of Government Procurement Policies will be advantageous.
• Familiar with SAP and proficiency in data analytics/visualization tools like Power BI will be beneficial.
• A resourceful individual with active listening skills to gather information and anticipate next steps.
• A motivated individual with clear communication skills for stakeholder and management reporting.

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 resourceful and motivated individual to join our dynamic team. As a member of the Corporate Services (CS) team, you will manage the purchasing function in IME, ensuring operations run efficiently and effectively.

Job Responsibilities:

• Manage the tender documentation and processes, working with stakeholders on tender requisition, evaluation, seeking approval for award and contract management.
• Implement Procurement Policies and Procedures to align with business needs, offering guidance to stakeholders to support informed purchasing decisions, while balancing public accountability, prudent use of resources and operational efficiency.
• Conduct training of Procurement Policies and Procedures to stakeholders.
• Perform demand aggregation in partnership with stakeholders.
• Manage purchase orders, track delivery timelines, and ensure timely receipt of goods and services.

Job Requirements:

• Minimum 3 years of relevant experience in procurement.
• A good understanding of Government Procurement Policies will be advantageous.
• Familiar with SAP and proficiency in data analytics/visualization tools like Power BI will be beneficial.
• A resourceful individual with active listening skills to gather information and anticipate next steps.
• A motivated individual with clear communication skills for stakeholder and management reporting.

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 highly skilled and experienced Assistant Director/Senior Assistant Director of Corporate Services to join our dynamic team. The successful candidate will manage the corporate services functions at IME, which include administration, purchasing, budgeting, resource planning, and other corporate support, ensuring efficient and effective operations.

Job Responsibilities:

• Oversee and manage the Corporate Services functions.
• Lead the annual budget exercise and forecast reporting. Oversee the preparation, monitoring and management of funds.
• Provide financial insights and strategic advice to support business planning and decision making.
• Drive transformation efforts by proactively reviewing and suggesting improvements to operational efficiency and cost control.
• Maintains strong internal controls and governance, balancing public accountability, prudent use of funds, and operational efficiency.
• Mentor your team and foster a positive and productive work environment.
• Undertake ad-hoc tasks as assigned.

Job Requirements

• Preferably at least 8 years of relevant experience, with minimum of 3 years in a supervisory role.
• Strong strategic and analytical thinking skills in decision making.
• Excellent interpersonal and communication skills (written and verbal).
• Highly motivated, detail-oriented, and results-driven.
• Familiar with SAP and proficiency in data analytics/visualization tools like Power BI will be beneficial.