Universidade Tecnica Do Atlantico

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

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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. 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 technical writing and presentation. Possess strong analytical and critical thinking skills.

Lead Software Engineering programmes and academic direction Advance research with strong industry collaboration Shape AI integration in teaching and curriculum About the role - Ngā kōrero mō te tūranga  This is an exciting opportunity for a mid-career Software Engineer to show strong leadership and progress your research goals. As Programme Lead for Software Engineering, this full-time role is expected to contribute to undergraduate and postgraduate teaching, as well as the supervision of honours, graduate and postgraduate students. The Senior Lecturer/Associate Professor will be expected to maintain professional associations, establish and promote collaborations with industry, and contribute to outreach events. Salary will be in the range of $113,428 to $148,799 for a Senior Lecturer, or $150,661 to $166,176 for an Associate Professor, per year based on skills, knowledge and experience brought to the position. This is a full-time role (37.5 hours a week), based at our Hillcrest Campus. For more information on these roles, please see the position description attached for the Senior Lecturer or Associate Professor. For a confidential conversation about the role, please contact Professor Annika Hinze, Head of School, School of Computing and Mathematical Sciences, at annika.hinze@waikato.ac.nz Who are you? - Ko wai koe? We are seeking to grow our Software Engineering department with the addition of a Senior Lecturer/Associate Professor who enhances our research strengths, creates engaging teaching experiences, and contributes to our outreach programmes. We are especially interested in appointing an experienced academic who can provide leadership in integrating emerging AI tools and methodologies into our software engineering programme. The successful candidate will hold a relevant PhD and have demonstrated teaching and research experience at both undergraduate and postgraduate level, including successful supervision of Masters and Doctoral students, supported by a strong track record of securing competitive research funding. Additionally, experience leading a team of academic colleagues is strongly preferred, as well as a willingness to contribute to both our Hamilton and Tauranga programmes. Who are we? - Ko wai mātou? Au Reikura - The School of Computing and Mathematical Sciences at the University of Waikato comprises four discipline groups. The Software Engineering group has research strengths in areas such as human-centred computing, internet of things, and software correctness. Software Engineering is closely aligned with the Computer Science programme, where we have a strong presence in Artificial Intelligence and Cyber Security. We offer a range of Software Engineering programmes, from the fully accredited Bachelor of Engineering to PhD level. Our programmes are accredited under the Washington Accord and the Seoul Accord. Applications close on Sunday, 5 July 2026