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Changchun University of Chinese Medicine

Changchun City, China
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Research Fellow / Engineer (Texturisation for Food Formulation) - DJ5

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Schemes of Service: Research Division: Food, Chemical and Biotechnology Employment Type: Fixed Term As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing research projects with strong industry relevance, focusing on product development, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant‑based food products, especially focusing on muscle‑like architectures to achieve required texture, flavour, and nutrition performance during cooking, reheating, and storage. Apply advanced texturisation techniques, including cold extrusion, lamination, and natural tenderisation strategies (e.g. enzyme treatment, solid-state fermentation), to create fibrous, meat‑like structures that replicate bite, chewiness, and elasticity. Translate scalable solutions from upstream processing (e.g. protein gels, fermented ingredients) into robust food formulations by collaboration with culinary experts, and lead pilot‑scale trials at facilities such as SIT FoodPlant to assess manufacturability, reproducibility, and scalability for clinical and consumer studies. Conduct textural, rheological, and sensory characterisation to evaluate product performance and guide formulation refinement. Consolidate formulation, processing, and performance data to support techno‑economic analysis (TEA), life‑cycle assessment (LCA), and cost–benefit analysis (CBA). Prepare scientific manuscripts, technical reports, progress updates, and final deliverables for funding agencies and stakeholders. Engage and communicate effectively with internal and external stakeholders to support progress meetings, technology transfer activities, conferences, and approved communication channels. Supervise and mentor junior researchers, engineers, students, and visiting scholars involved in the projects. The candidate is to communicate with all relevant internal and external stakeholders as required to meet the project deliverables. Any other adhoc duties assigned by supervisor. Job Requirements PhD in Food Science, Food Technology, or a closely related discipline. Strong Master’s degree holders with relevant experience may be considered. Strong background in food formulation, protein‑based systems, and texture design. Hands‑on experience with texturisation technologies, such as extrusion, lamination, gelation, or emulsion‑based structuring. Knowledge of protein gels, microgels, fat mimetics, and structure–function relationships in food matrices. Familiarity with sensory evaluation, texture analysis, and rheological measurements, food system characterization. Experience translating laboratory‑scale formulations into pilot‑scale or industry‑relevant processes. Understanding of nutrition‑driven product design, particularly for vulnerable or special‑needs populations. Ability to integrate culinary considerations into scientific formulation and product development. Strong problem‑solving skills with attention to both scientific rigor and practical feasibility. Excellent communication skills for interdisciplinary collaboration with engineers, nutritionists, clinicians, and industry partners. Ability to work independently while contributing effectively to a multidisciplinary applied research team. Detail-oriented, self-motivated, and able to work independently as well as collaboratively in multidisciplinary teams. Good communication and stakeholder management skills, including liaison with vendors, suppliers, and external partners.

Salary

Competitive

Posted

11 Jun 2026

Research Fellow / Engineer (Insect Protein Chemistry & Functional Beverage Development) - DJ6

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Schemes of Service: Research Division: Food, Chemical and Biotechnology Employment Type: Fixed Term Research Fellow / Engineer (Insect Protein Chemistry & Functional Beverage Development) As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports an awarded applied research project on cricket protein (CP)-based functional beverages, focusing on protein chemistry, emulsion engineering, scalable food processing, and consumer acceptance. The appointee will contribute to SIT's sustainable food innovation agenda, working within a multidisciplinary team with access to established research platforms and pilot-scale facilities. Key Responsibilities Characterise insect protein and their hydrolysates for compositional and techno-functional properties under different processing conditions (enzymatic hydrolysis, heating, drying, homogenization) Investigate the impact of food processing on protein-polysaccharide interactions under different food processing conditions. Profile phenolic compound and evaluate the bio-functional properties such as antioxidant activity Identify optimal processing conditions that minimise bioactive losses for functional beverage applications. Design and formulate insect protein-based oil-in-water emulsions for the encapsulation and delivery of bioactives. Develop and optimise functional beverage prototypes that are suitable for industry-scale beverage manufacturing and evaluate their emulsion stability and estimated shelf-life. Conduct in vitro bioaccessibility and bioavailability studies for encapsulated nutrients using existing SIT analytical facilities. Support the design and execution of consumer surveys assessing Singapore consumers' acceptance of foods and beverages. Perform principal component analysis (PCA) and multivariate statistics to identify relationships between demographic factors and product acceptance and integrate findings as feedback for beverage formulation. Prepare scientific manuscripts, technical reports, and progress updates for funding agencies, journals, and stakeholders. Present findings at project meetings, industry engagements, and academic conferences. Supervise and mentor junior researchers, research assistants, and students attached to the project. The candidate is to communicate with all relevant internal and external stakeholders as required to meet the project deliverables. Any other adhoc duties assigned by supervisor. Job Requirements PhD in Food Science, Food Technology, Food Chemistry, Chemistry, Nutrition, or a closely related discipline. Strong master's or bachelor's degree holders with substantial relevant research experience may be considered for the Engineer grade. Solid grounding in protein chemistry, protein hydrolysis, and structure–function relationships in food systems. Hands-on experience in emulsion formulation and stability characterisation, including droplet size analysis and shelf-life assessment. Familiarity with food processing technologies such as HTST, UHT pasteurisation, drying, heating, and high-pressure or multi-stage homogenisation in beverage or liquid food systems. Working knowledge of biochemical and antioxidant assay methods, HPLC, MS, and their application in food ingredient analysis. Experience with in vitro digestion models and bioaccessibility or bioavailability testing is a strong advantage. Ability to perform quantitative data analysis and multivariate statistics (e.g., PCA); proficiency in Origin, R, or equivalent software for statistical analysis. Strong scientific writing skills with the ability to produce publication-quality manuscripts and clear technical reports. Proactive, detail-oriented, and capable of managing multiple experimental and reporting workstreams simultaneously. Collaborative and able to work independently within a multidisciplinary applied research environment. Good communication and interpersonal skills for engagement with students, colleagues for procurement, risk assessment for lab activities, equipment purchasing and maintenance, industry partners, and funding stakeholders. Strong ownership for leading and delivering projects with project management skills

Salary

Competitive

Posted

11 Jun 2026

Domestic Assistant - Avenue

UNIVERSITY OF SOUTHAMPTON

University of Southampton

United Kingdom, Southampton

institution

University of Southampton

United Kingdom, Southampton


What we're looking for  Domestic Services is one of the largest Professional Services departments in the University, comprising a diverse range of colleagues who share the same passion for delivering a high standard cleaning service to the University's community and estate.  We are looking to recruit a number of Domestic Assistants, with good experience of cleaning in professional environments, to join our team, across several of our campuses. You will work closely with the Domestic Supervisor, Assistant Domestic Services Manager, Domestic Services Manager, as well as colleagues across the Estates & Facilities Directorate and the wider University, to ensure effective and professional support for all aspects of the team’s activities. What we can offer you We support a flexible approach to work, as well as additional benefits that will make your life easier, such as a generous holiday allowance, access to a university pension scheme, subsidised health and fitness facilities, and a range of discounts. Furthermore, the University is a fantastic place to work – regardless of what life stage you are at, you will be a valued member of our team. The following shift pattern is available: 05:30 – 08:30 Monday to Thursday,  05:30 – 08:15 Friday This vacancy is available on a part-time, permanent basis.  For an informal discussion please contact Sue Wareham, Assistant Domestic Services Manager on +44 (023)8059 7164

Salary

£23,984 Per Annum, Pro Rata (0.4FTE of Full time Hours)

Posted

10 Jun 2026

Research Fellow on Advanced Manufacturing & Materials

UNIVERSITY OF SOUTHAMPTON

University of Southampton

United Kingdom, Southampton

institution

University of Southampton

United Kingdom, Southampton


The Department of Aeronautics and Astronautics at the University of Southampton is welcoming applications for a postdoctoral position in the field of advanced manufacturing and materials. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 33 months. The role The role is an Innovation Action within a Horizon Europe funded research project coordinated by the University of Southampton that will deliver an Industry 5.0 AI-enabled digital framework that streamlines remanufacturing in the automotive sector. You will need to lead the methodological framework for remanufacturing in the automotive sector in collaboration with the consortium participants from 9 different countries. About you You will hold a PhD or equivalent and will already be demonstrating potential for research excellence in your postdoctoral activity. You will have the opportunity to work in a collaborative and stimulating environment, with access to state-of-the-art facilities, and necessary resources to conduct high-quality research. What we can offer you As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work.  With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach. All our benefits can be viewed on the Benefits Explained website. If you wish to discuss the role in more detail, please email Professor Nico Avdelidis: n.p.avdelidis@soton.ac.uk To apply for this vacancy, please upload a CV and cover letter demonstrating how your skills and experience match the requirements of the role.

Salary

£38,784 to £42,254 per annum

Posted

10 Jun 2026

Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering)

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development* Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhab https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

Salary

Competitive

Posted

11 Jun 2026

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