Total 3,854 Education / Training job vacancies in Hong Kong, Hong Kong Island

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

We are looking for a highly motivated candidate to join us as a research fellow to facilitate the research program in the development of next generation steels funded by Singapore National Research Foundation led by Nanyang Assistant Professor Yi-sheng (Eason) Chen.

Key Responsibilities:

• Support the delivery of project goals
• Conduct high-quality research and disseminate outcomes in peer-reviewed journals and academic conferences
• Participate in supervising undergraduate and postgraduate researchers
• Collaborate with local/overseas research groups
• Establish one or more independent research programmes under the guidance of PI and other senior mentors
• Develop competitive funding proposals in collaboration with PI and other senior colleagues
• Engage in teaching undergraduate and graduate courses and contribute to curriculum development and pedagogical innovation
• Contribute to the development of international and local research communities
• Support the operation of PI's research group, including recuitment and external engagement
• Engage in developing and mainting a safe and inclusive work environment

Job Requirements:

• PhD in Materials Science or related fields
• Excellent proven skills in the fields of physical metallurgy and materials characterization
• Excellent communication skills and the ability to transmit research results into published research outcomes.
• Knowledge and experience in one or more of the following techniques: transmission electron microscopy (TEM), electron backscatter diffraction (EBSD), transmission Kikuchi diffraction (TKD), atom probe tomography, and associated sample preparation techniques including focused ion beam (FIB).
• Ability to work independently and to communicate effectively with team members
• Ability to work effectively under pressure to meet research deadlines
• Ability to work collaboratively with academic and industry partners
• Sound working knowledge and acute awareness of safety regulations and operating procedures within the laboratory environment.

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

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

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.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

Innovative Electronic & Electromagnetic Devices Laboratory (i-Lab@NTU) led by Prof. Mohammad Samizadeh Nikoo is seeking for a research fellow to focus on fabrication, simulation, and characterization of electronic devices. The role will focus on fabrication, simulation, and characterization of electronic devices.

Key Responsibilities:

• Micro- and Nano-fabrication of electronic devices in cleanroom environments.
• Experimental characterization and simulation of electronic devices.
• Providing general research support to i-Lab.

Job Requirements:

• PhD degree in Electrical Engineering or related field
• Expertise in cleanroom nano-fabrication
• Strong publication track record
• Excellent verbal and written communication skills
• Ability to work well in a team

To apply, please send your CV and the contact details of two references.

We regret to inform that only shortlisted candidates will be notified.

• Eunos
• 5 Days Monday to Friday 7:30 AM to 4:30PM
• Salary up to $2,390 - $2,800
• Career Progression Opportunities.
• Perks: Annual Leave + Medical Leave + Statutory Leave

Job Description:

• Help teachers with administering tests, including both oral and written examinations.
• Perform clerical tasks such as copying, filing, and organizing materials.
• Assist in the printing and preparation of teaching materials

Job Requirements:

• Relevant experiences

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Loh Pooi Keng (Ashley) - Outsourcing Team
ScienTec Consulting Pte Ltd – 11C5781

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 1- 2 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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

Job Description

-Responsible for leading and managing an industry-facing programme focusing on AI solution development & implementation in manufacturing sector.

-Define & execute an overall programme management framework, including but not limited to finance / governance / resource management / IHL collaboration / stakeholder management / programme administration / project management etc.

-Responsible for the programme overall progress and compliance to grantor?s requirements, and report to all internal and external stakeholders regularly.

-Provide leadership guidance to project managers, coordinate cross-project activities to accomplish strategic objectives, oversee multiple projects across various research organizations, and ensure successful delivery of project scope and targets while managing all the risk, quality, delivery, scope, schedule, and budget.

-Support ecosystem development with relevant stakeholders from public agencies, IHL and industry for economic impacts in the programme.

-Work closely with AI researchers and manufacturing domain experts together with industry partners to capture AI manufacturing use cases and manage the full life cycle of R&D projects by planning organizing, executing, monitoring and evaluating from conception to completion, and eventually to industry implementation.

Job Requirement

• Bachelor or Masters in any Science & Engineering related disciplines.
• At least 5 years or more of large-scale multiple-party project management experience in technology and/or product development; any past experience on research project would be preferable.
• Ability to demonstrate a good level of understanding of various engineering subjects, manufacturing technology, product development, latest AI technology trend
• Ability to deal with complex stakeholder management with public agencies, academia, research organization, industry, and trade association.
• Good business acumen, able to identify business opportunity independently and interact with industry partners confidently.
• Proactive team player and technically motivated to solve problems, innovate and deliver to industry.
• Strong communicator with excellent interpersonal skills; strong logic thinking and writing skills.
• PMP certifications or equivalent will be advantageous.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for 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

We are seeking talented and experienced Robotics Scientist with strong understanding in manufacturing production processes, robotic process applications, and automation solutions to solve industry challenges.

Roles & Responsibilities:

Perception-guided manipulation

-Develop and optimise state-of-the-art robotic algorithms (object detection, recognition, and tracking using various sensors, advance motion planning, inverse & forward kinematics) for perception-guided manipulation systems.

-Collaborate with hardware engineers to integrate software solutions into robotic platforms.

Skill transfer research and development

-Develop and implement transfer learning models for various machine learning tasks, including image recognition, natural language processing, and recommendation systems.

-Collaborate with domain experts to understand specific business requirements and adapt transfer learning models accordingly.

-Utilise transfer learning to enhance the efficiency and applicability of expert skills and stay updated on the latest advancements in transfer learning and skill adaptation.

Project proposal, scoping & execution

-Lead discussions with stakeholders to obtain holistic understanding of problem statements, requirements, and expectations.

-Perform technology scouting on industrial robotic applications and automation best practices.

-Perform process mapping and robotic process feasibility analysis.

-Develop project proposals and concepts for intelligent robotic processes and automation.

-Perform simulation-based programming of robotic motion.

-Execute development & implementation of robotic processes according to project life cycle, including technical project write-up and presentation.

Job requirement

· PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field.

· More than 5 years of experience

· Experience in robot trajectory planning and machine learning, with a strong portfolio of relevant projects.

· Proficiency in programming languages such as Python, C++, and/or Matlab

· Knowledge of deep learning frameworks like TensorFlow and/or PyTorch for building and training neural networks.

· Strong communication skills to collaborate effectively with colleagues and present technical findings.

· A passion for robotics and a desire to stay updated with the latest developments in the field.

· Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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 Summary

The Haematological Malignancy Genomics Laboratory, led by Professor Chng Wee Joo, focuses on using advanced genomics and proteomics methods to study the clinical and biological complexities of haematological malignancies such as multiple myeloma (MM), acute myeloid leukemia (AML), and NK/T-cell lymphoma (NKTL). This translational research program aims to discover diagnostic markers, identify novel therapeutic targets, and uncover molecular mechanisms of disease, advancing our understanding of cancer pathogenesis and potential treatments.

We are seeking a Research Assistant to support ongoing research in murine models. This role involves assisting in studies on mouse models to validate discoveries in haematological malignancies, with a focus on preclinical validation of novel therapeutic targets, therapeutic resistance mechanisms, and biomarker identification. This is a hands-on laboratory position requiring proficiency in animal handling, genotyping, and familiarity with experimental protocols involving mouse models.

Job Description

• Animal Model Handling:
  Conduct routine handling and care of laboratory mice, ensuring adherence to ethical and welfare standards.
  Support experimental setups in mouse models to study disease pathogenesis, progression, and therapeutic responses in haematologic malignancies.
  Perform injections, tissue sampling, and necropsies as required for experiments.
• Data Collection and Analysis:
  Assist in collecting and processing biological samples (e.g., blood, tissue) from mouse models for downstream molecular analyses.
  Maintain accurate records of experiments, data collection, and sample inventory in a clinical database for integrated bioinformatics analysis.
• Genomic and Proteomic Support:
  Assist in sample preparation for genomics and proteomics studies, including DNA/RNA extraction and preparation for sequencing and protein assays.
  Support preclinical validation of molecular markers and therapeutic targets identified from genomic studies.
• Laboratory Support and Maintenance:
  Ensure lab equipment related to mouse work is well-maintained and calibrated.
  Follow all safety protocols and maintain a clean, organized work environment.
  Assist in the maintenance of a comprehensive tissue bank, ensuring high-quality source material is available for research.
• Collaboration and Reporting:
  Collaborate closely with senior researchers, assisting in the analysis of data from mouse models.
  Report findings and observations to the research team and contribute to discussions on the impact of preclinical findings on clinical applications.

Requirements

• Bachelor’s degree in Biomedical Sciences, Molecular Biology, or a related field.
• Prior experience in laboratory animal handling, preferably with mouse models.
• Experience in haematological research or genomics/proteomics is an advantage.
• Knowledge of standard laboratory procedures for working with mouse models.
• Strong organizational skills, attention to detail, and ability to maintain accurate data records.
• Familiarity with molecular biology techniques such as DNA/RNA extraction, PCR, and Western blotting.
• Effective communication skills and ability to work collaboratively within a research team.

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.

Responsibilities & Duties

• Be a key player in the customer acquisition team to onboard new parents to the company's community
• Share the company's vision and recommend suitable coding programs for students
• Support customer success initiatives like special programmes or competitions, or community events like fireside chats for customer engagement
• Maintain customer relationships and build a strong the company's community.
• Act as parents’ advocate and manage relationships with them
• Plan lead generation events with key partners like Parent Sharings, trial classes and make sure payment for classes are received
• Work with the teaching team to assess the students and follow up with parents for conversion
• Responsible for handling general administrative duties, e.g. sending out onboarding emails, data entry, sorting out data and research
• Ensure that all customer information is properly documented and updated in the CRM system
• Relationship manager for the company's community, continue to track the progress of students and maintain relationships with parents

Skills & Qualifications

• Strong communication and problem solving skills
• Driven, fast learner, proactive and ability to work in a fast-paced environment
• Organised, detail-oriented and ability to manage different projects at once
• Get things done attitude, self-driven
• You are very meticulous and independent, able to set own priorities with time management to complete projects timely
• Diploma / Degree Graduates without experience are welcome to apply as on job training will be provided!

Additional (Good-to-Have!)

• You love to learn and expand knowledge in Computer Science and/or Engineering
• Strong communication and problem solving skills. Open-minded and dynamic
• You are eager to shape the skills and minds of our next generation in equipping them with the right digital skills You have prior teaching experience, be it tutoring, or team training

Location: West Coast Plaza

Company background: Learning in Coding / Robotics for Primary & Secondary school kids.

Working hours: 9am to 6pm (5 days per week, Wednesday to Sundays, PH OFF)

Salary: $2800 to $3500 per month + quarterly / annual bonus

Jessie Hoe Huey Miin

CEI R1103861

EA: 99C4599

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 Dr Brandon I Morinaka on production and biological evaluation of peptide natural products under a project on Genome mining and biosynthesis of peptide natural products.

The main responsibilities of the position include:
• Support safe operations and maintenance of equipment in the lab.
• Facilitate working with undergrad students when necessary.
• Assist with procurement and ordering of chemicals and consumables.
• Carry out research for new peptide natural products discovery and development including recombinant protein expression, and production and extraction of natural products.

Qualifications

• Qualifications / Discipline:
B.S. in Pharmaceutical Science, Chemistry, Biochemistry, or related discipline.

• Skills:
Biochemical techniques (protein expression and purification, SDS-PAGE, size exclusion and affinity chromatography) and/or Analytical chemistry (NMR, MS, HPLC). Good written and oral communication skills. Able to work effectively in a team.

• Experience:
Previous research experience in a chemistry, biochemistry, or biology lab.