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

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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a PhD degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

If you are a former MOE Tamil Language teacher, or a Trained Teacher with a professional teaching qualification in Tamil Language, we welcome you to join us!

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr-tl. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

Applicants can expect to receive an update from us within 4 to 6 weeks from your application date.

Should you encounter any difficulty in submitting your application, please contact us at moe_ru_trained_appt@moe.gov.sg for assistance.

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 Research Fellow will work closely with the Principal Investigator, Dr. WU Zhe, on several research projects of optimization of chemical and manufacturing processes through machine learning tools
• The Research Fellow will help to develop both theoretical and simulation study of machine-learning-based control and optimization algorithms to chemical processes.

Job Requirements

For Research Fellow Position:

• A PhD degree in a relevant area, e.g., Control Engineering, Chemical Engineering, Automation, Systems Engineering, Computer Science or Applied Mathematics;
• Good publication record;
• Experienced in advanced process control, machine learning, and programming languages (e.g., python, Matlab, C++, etc)

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 (NUS) invites applications for the role of Research Assistant/Research Associate with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and conduct research and development to better enable the future challenges arising from rising ambient heat. Appointments will be made on a two-year contract basis, with the possibility of extension.

The Research Assistant/Associate who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat. There are also opportunities to pursue a part-time PhD with HRPC.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include but not limited to the following:

• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once

Qualifications

A minimum qualification of a Bachelor’s degree in Exercise Science, Physiology, or equivalent. Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office, data management and online meeting tools) would be required as well.

In addition, the role will require the following job relevant experience or attributes:

• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research work experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals

Additional Skills

• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment

Application

The role is based in Singapore.

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

Only shortlisted candidates will be notified.

ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here.

NIE invites suitable applications for the position of Assistant Manager in the Physical Education & Sports Science Department. This is a 2-year contract post.

Responsibilities

Facilities Management:

• Oversee management of all PESS sports facilities.
• Propose technological solutions to enhance users’ experience at PESS sports facilities.
• Propose and streamline office and facility procedures to ensure an efficient and safe day-to-day running of the facilities within the PESS Faculty.
• Coordinate with internal stakeholders to optimise processes and address potential issues.
• Supervise the daily operations at PESS Sports Facilities Office, including all logistical, functional and medical needs of relevant stakeholders, including but not limited to:
• Work with faculty members to set up sports equipment for classes.
• Provide logistics support for sports-related events.
• Perform regular inspection of sports facilities to ensure that users adhere to rules and regulations and to inform relevant parties in the event when faulty equipment are spotted.
• Conduct briefing for visitors to PESS sports facilities.
• Perform inspection of fitness rooms particularly during peak hours’ usage.
• Perform first aid duties in the event of injuries.
• Perform any other duties assigned by PESS management.

Event Strategy, Planning, and Coordination:

• Provide end-to-end support for both students and Department driven event initiatives.
• Facilitate the ideation and creation of event concepts led by NIE student bodies to foster holistic student out-of-classroom experiences.
• Collaborate with students in a mentoring capacity with internal and external stakeholders, including the management of relationships with vendors and suppliers.
• Provide mentoring to students to prepare them for real-world operational challenges within the sports industry.

Analytics and Data Management:

• Process data on facility usage, safety considerations, and event related metrics.
• Develop and upkeep accurate records of events and facilities operations within the sports facilities.
• Prepare reports and analysis on event outcomes, facility operations, and safety considerations depending on department or organisation needs.
• Utilise data to make recommendations on events, operations and facility related metrics to enhance efficiency and improve effectiveness in all three functions.

Requirements

• A University Degree in Sport Management, Exercise or Sports Science or other relevant qualifications.
• Relevant experience in facilities and events management.
• Relevant experience in automation software (e.g., Power Automate) will be advantageous.
• Training in First Aid & AED would be an advantage.
• Ability to work independently and as a team member.
• Able to perform shift work. (Working hours: Morning shift: 8am to 5.15pm, Afternoon shift: 12.45pm to 10pm).

Application

We regret that only shortlisted candidates will be notified.

Other Information

NIE staff can take chartered buses at their own expense from or near their homes to the NIE campus. This is subject to availability of seats.

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

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should have 2-3 years of experiences in doing research.

Digital Trust Centre (DTC) is looking for a candidate to join them as a Senior Research Engineer I

Key Responsibilities:

• Conduct research into trust technologies testing – translating research algorithms, and design/develop tools and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities
• Work closely with Centre’s researchers to design and develop system implementation work from research into product
• Design and build working tools that can support technology transfer of new research capabilities to practical solution capabilities that can be used to showcase the value of a given research outcome
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, help to educate and raise the overall competency of Singapore manpower in emerging areas of trust technologies
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain
• Responsible for the system and architecture design of trust solutions for digital transformation in addition to their engineering and implementation

Job Requirements:

• Masters’ degree in computer science, software engineering, information theory or relevant field
• 5 years of experience in software engineering, system development
• Familiar with at least one of the following programming languages: C/C++, Python, Java
• Good communication skills
• Self-motivated, and could deliver under tight schedule

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

Nanyang Technological University’s Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRiPTS) represents a one-stop Centre for knowledge, technologies, and solutions for privacy-preserving problems in Singapore. The candidate will work with the research team to perform scientific research and contribute to industrial and government-related projects. For more details, please view https://www.ntu.edu.sg/scripts

We are looking for a Research Engineer to develop, implement and oversee our leading-edge backend application platform for SCRiPTS. The role will focus on software development with regards to verifiable computation.

The applicant should possess a good understanding of service-oriented architecture (SOA) middleware and integration technologies/ frameworks, with a keen interest in the application of privacy preserving technologies, machine learning, blockchain, and TEE.

Key Responsibilities:

• Installation and configuration, platform operations, troubleshooting and supporting API development, along with other related tasks.
• Development will focus on privacy-preserving techniques including but not limited to the field of Verifiable Computation (VC), Multi-Party Computation (MPC), Federated Learning (FL), blockchain, and Trusted Execution Environment (TEE).
• To learn the basics of privacy preserving technologies, machine learning, and blockchain.
• Work closely with our researchers to modify existing cryptographic libraries and/or develop similar modules.

Job Requirements:

• Bachelor’s degree in computer science/ engineering or related fields.
• Proficiency in programming languages Python, C/C++. Experience in other programming languages such as Java, Go, Rust will be an advantage. Experience in implementing smart contracts, and using frameworks such as Circom, SnarkJS, MP-SPDZ, TensorFlow will be an advantage.Proficiency with using common Linux distributions such as Ubuntu (including shell scripting) is a must. Knowledge on basic networking and communication protocols is a must, as this is needed to develop backend messaging requirements for certain privacy libraries. Knowledge of basic cryptographic primitives such as encryption, digital signatures, and hash functions will be an advantage.
• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers as well as the DevOps team at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must
• Entry level candidates are welcome to apply.

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

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow in Theoretical Polaritonics

Following the commencement of a new NRF CREATE project (N-GAP) and a soon to start MOE Tier 3 project (Quantum Geometric Advantage), we need to increase the capacity of our group to perform theoretical research and meet the project objectives.

Key Responsibilities:

• Conduct theoretical modelling of exciton-polariton systems
• Provide modelling of exciton-polariton networks and lattices

Job Requirements:

• PhD degree in theoretical polaritonics or related areas, with focus on the modelling of exciton-polariton lattices
• Experience in the physics of topological phases of matter, nonlinear optics, and open quantum systems
• Strong publication record

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

The laboratory of Dr Cyrus Mostajeran at SPMS is seeking a Research Associate to contribute to the research agenda of the project ‘Geometric Optimization and Design in Learning and Robotics'.

Key Responsibilities:

• Obtaining rigorous mathematical results in the areas of optimization and statistics on manifolds and applications to data science and machine learning
• Designing, implementing, and testing algorithms
• Engaging in scientific exchange with collaboration partners of the project
• Preparing reports, scientific papers, and presentations

Job Requirements:

• Master’s degree in mathematics or a closely related subject
• Knowledge of differential geometry including Riemannian geometry, Lie groups, and homogeneous spaces
• Familiarity with fundamental concepts in probability and statistics
• Enthusiasm for applying advanced mathematical tools and techniques to applications including data science
• Good communication skills
• Experience in the use of programming languages and interest in the implementation of algorithms relevant to the project

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret to inform 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 Prof Barbaros Oezyilmaz and Dr Toh Chee Tat on lab support, sample preparation and characterization under a project on Large area synthesis and applications of atomically thin amorphous materials.

The main responsibilities of the position include:

1. Direct growth of MAC on target substrates using a UV-based CVD approach.
2. Transfer of 2D material, layer-by-layer assembly of the all-carbon transistors and memristors
3. Electrical tests of the devices, exploration of the transfer curves of transistors with thin amorphous dielectrics
4. Characterization of MAC (e.g. optical, electrical, Raman spectroscopy, Atomic Force Microscope, Scanning Electron Microscope).
5. Device fabrication of test samples for potential applications.
6. Data analysis and physical interpretation of the results.
7. Manage lab safety, equipment maintenance and operations.
8. Meet key deliverables for industry collaboration.

Qualifications

• Qualifications / Discipline: Bachelor's or Master's degree in materials science, engineering, or a related field, with a focus on thin film deposition
• Skills: Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
2. Experience with electronics and the use of clean room is desirable

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

STATEMENT OF PURPOSE

The Memory Aging & Cognition Centre (MACC) is a Research Center within the National University Health System funded by the Singapore National Medical Research Council that focuses on the study of dementia and cognitive impairment in the elderly. The MACC currently has 4 research themes on (i) neurochemistry, molecular pathology and biomarker discovery, (ii) neuroimaging, (iii) clinical assessment and (iv) epidemiology.

We are seeking a highly motivated Research Assistant to join our team at the MACC. The successful candidate will play a pivotal role in the daily operations and maintenance of the laboratory, as well as the handling of samples obtained from human or animal studies. The successful candidate will also have opportunities to work on various laboratory testing/techniques and contribute to the team's research effort in neurochemistry and blood biomarkers of Alzheimer's disease and vascular cognitive impairment.

Duties and Responsibilities

1. Handle samples obtained from human (blood, plasma, serum, post-mortem brain tissues) or animal studies, including the proper processing, documentation, tracking, storage and retrieval of samples.
2. Ensure compliance with laboratory safety protocols and regulatory requirements.
3. Manage and coordinate daily operations and maintenance of the laboratory, including administrative duties.
4. Support the PI and Research Fellows in experimental procedures related to neurochemistry and blood-based biomarkers research.
5. Assist the PI and Research Fellows in supervising and training students and junior researchers.

Qualifications

1. Bachelor's degree in Biomedical or Life Sciences.
2. Meticulous, attention to details, able to work independently, strong organization and documentation skills.
3. Previous work experience in the following area(s) is advantageous:

• Handling human and/or animal specimens as well as biobanking
• Neurochemistry laboratories, biomarker-related laboratories, pharmaceutical laboratories and/or research animal laboratorie

4. Knowledge of lab safety regulations/guidelines is desirable.

The candidate should possess the ability to work independently (with training) in a highly collaborative and international research environment, and be able to demonstrate initiative, technical independence and excellent communication skills. The successful candidate will be expected to be self-motivated in neurochemistry and biomarker research projects within the MACC under the supervision of the MACC Director, PIs and Research Fellows, as well as collaborators in NUHS and Duke-NUS.

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 bchjg@nus.edu.sg.

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.

School of Art, Design and Media is looking for a candidate to join them as a Research Assistant.

As a Product Designer, you will play a critical role in creating 3D wearable prototypes. You will lead design projects from concept to completion, creating product prototypes in close collaboration with the project manager. The ideal candidate has a strong understanding of design principles, and best practices, materials, and manufacturing techniques, with a passion for creating unique products.

Key Responsibilities

• Create and define a 3D wearable product based on specific requirements.
• Conduct user research, analyzing user feedback and usage data to identify key opportunities for product enhancement and innovation.
• Responsible for digitally visualizing design concepts and user interactions and/or creating 3D mock-ups and prototypes via renderings.
• Prepare technical drawings and specifications for production and communicate with manufacturers and suppliers for product execution.
• Understand best practices and emerging technologies by applying new learnings to the assigned work.
• Be able to make decisions on sustainable materials and finishing of the design proposals.
• Lead the end-to-end design process for new products, from concept ideation to final production.
• Develop detailed sketches, 3D models, and prototypes for wearables.
• Select appropriate materials to achieve desired aesthetics, functionality, and quality standards.
• Manage project timelines and milestones, ensuring all design projects are delivered on time and within budget.

Job Requirements

• Bachelor of Fine Art or Bachelor Degree in product design, demonstrating a track record of delivering impactful physical products or features from concept to launch, or graduates with a focus on product design skills.
• Exceptional visual design skills with a proven track record.
• Proficiency in prototyping tools to effectively demonstrate design concepts and user interactions.
• Experience in conducting user research and translating research insights into product features that had a proven impact
• Strong communication skills and independence.
• Capability of articulating design decisions clearly and effectively.

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry-partnered Ignition research project where you will be part of a collaborative team exploring innovative ways of characterizing the physical and rheological properties of liquid personal care products and understanding the impact of these properties in product design and process development.

Key Responsibilities

• In this role, you will perform shear and extensional rheological characterization of a large variety of liquid personal care products including lotions, topical oils, and more. We will explore innovative and emerging methods of rheological characterization and analyzing rheological data to extract material parameters to build a database of materials. Working with our industrial partner we will establish an understanding of rheological properties that are useful for product formulation and process design related to lab and larger scale extrusion/dispensing applications.More specific responsibilities include:
  • Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
  • Undertake development of rheological protocols and characterization of liquid personal care products
  • Formulate model materials with various additives to understand their impact on product rheology
  • Design, execute, and interpret experiments independently and with support from the PI.
  • Prepare and deliver written articles, reports, and presentations for industrial partners and external audiences.
  • Attend and present at regular group meetings to receive feedback on work done and future plans
  • Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
  • Coordinate procurement and liaison with vendors/suppliers.
  • Work independently, as well as within a team.

Job Requirements

• Have relevant competence in the areas of rheological characterization and analysis, wet lab work, material formulation
• Have a degree in pharmaceutical engineering, chemical engineering, mechanical engineering, food or materials science/engineering, or a related field. Possessing a Master’s degree will be advantageous.
• Knowledge of any of the following will be advantageous: material dispensing/extrusion processing, material science, textural and sensory analysis

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.