University of Monastir

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 and manage fundamental research projects on mechanical and textural characterisation of meat and novel foods in close collaboration with Principal Investigators, co-PIs, and academic partners from NTU and A*STAR. Establish a nanomechanical and macro textural foundation for small sample cultivated meat using advanced tools such as AFM, micro-indentation, and micro texture analysers (e.g., TA.XT plus), Confocal Laser Microscopy Imaging etc for the purpose of quantification of hardness, chewiness, springiness, fracture stress, and fracture strain for small sizes of food samples Compare the feasibility, resolution, and accuracy of AFM, indenters, and micro-TA probe type systems specifically for characterising cultivated meat, contributing method development knowledge to the field. Deploy dynamic oral processing simulation platforms, including tribology, Kramer shear cell testing, and mastication simulators to investigate breakdown characteristics, brittleness vs. plasticity, and frictional/lubrication properties. Generate mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling quantitative comparison between cultivated meat and conventional animal meat, and identify key textural descriptors defining equivalence. Develop novel experimental or analytical methodologies to address current gaps in small sample meat texture characterisation and oral processing simulation. Consolidate experimental data into robust evidence packages for academic publications, grant reporting, and translational research decisions. Coordinate project timelines, milestones, resource allocation, procurement, and compliance with institutional and ethical requirements. Prepare and submit high quality scientific manuscripts to peer reviewed journals, as well as technical reports, progress updates, and final deliverables for funding agencies. Engage actively with internal and external academic collaborators, organise progress meetings, and contribute to technology transfer where relevant to open science or public benefit. Present research outcomes at international conferences, academic seminars, and stakeholder meetings, and contribute to outreach through approved communication channels. 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 or Doctoral Degrees in Food Science, Food Technology, Food Engineering, Physics, Material Science, Mechanical Engineering, Biomaterials, Biological Engineering or a closely related discipline. Strong background in mechanical properties of soft matter, food texture analysis, or biopolymer/tissue mechanics, with demonstrable experience in cultivated meat, plant-based meat analogues, or animal tissue characterisation. Hands on experience with mechanical characterisation tools (AFM, indentation, DMA, texture analysers, rheometer and tribology, CLSM, low field NMR) and a solid understanding of fracture mechanics (stress/strain, hardness, chewiness, springiness). Proficiency in oral processing simulation techniques such as tribology, Kramer shear testing, and/or mastication simulators, with the ability to interpret breakdown and lubrication behaviour in a mechanistic context. Competence in multivariate statistical analysis, particularly PCA, 3D PCA, or other dimensionality reduction methods for integrating complex, multimodal datasets. Experience working with limited sample volumes, and ability to design robust experimental protocols for small batch cultivated meat production. Evidence of scientific productivity, including first-author publications in peer-reviewed journals, conference presentations, or equivalent outputs. Ability to translate complex experimental outcomes into testable hypotheses and conceptual frameworks, rather than product-focused deliverables. Strong project ownership and autonomy, with capacity to balance scientific depth, reproducibility, and methodological rigour. Excellent scientific writing skills, with proven ability to prepare manuscripts, funding proposals, and technical documentation. Detail-oriented, self-motivated, and capable of working independently as well as collaboratively within multidisciplinary academic teams when under stress. Good communication and stakeholder management skills, including liaison with lab and equipment managers, finance and procurement team, equipment vendors, and external academic partners.

As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met.  Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications. Deliver solution-ready demonstration code. Interact well within the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research assistants (if appropriate). Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China. Key Competencies: A self-directed worker who believes in continuous learning and development Proficient in academic writing  Possess good critical thinking skills Show strong initiative and take ownership of work Interest in AI, machine learning, image/audio processing

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University Assitant (praedoc) - Completion Contract 50 Faculty of Life Sciences Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5561 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Doctoral School of Ecology and Evolution (https://vds-ecology-evolution.univie.ac.at/) provides a cutting-edge scientific training for doctoral candidates in all fields of Ecology and Evolution studies. It aims at attracting excellent students from all over the world and guides them towards research at the forefront of Ecology and Evolution studies in a vibrant and dynamic community in the heart of Europe. The Doctoral School offers an up to 4-months Completion Contract open to all PhD-candidates of the VDSEE. This Completion Contract aims to support a highly qualified fellow in the final phase of their doctoral studies. The recipient will be employed as University Assistants (praedoc). Your future tasks: You actively participate in research, teaching & administration, which means: Your main task is to complete and to submit your dissertation. You meet and consult with your supervisor(s) on a regular basis in order to priorities your tasks and get the necessary support to complete your dissertation successfully in time. You actively seek support (workshops, training, coaching etc.) if necessary. This is part of your personality: General expectations: Above-average MA or equivalent in a field of study relevant for the respective position. Excellent academic and study record (e.g. FÖP within one year, annual submission of progress reports; outstanding publication record etc.). High level of motivation and commitment to succesfully complete your doctoral studies within the anticipated time frame. Excellent command of written and spoken English (C1 Level) Collaborative, team-minded and pro-active attitude. High level of written and oral communication skills. Experience with the structures of the University of Vienna. Completed Master's degree or Diploma, in the respective field What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! Depending on the progress of the dissertation, the contract duration may range from two to a maximum of four months. The exact duration will be communicated to the applicant(s) after successful completion of the selection process. An extension of the contract is not possible. It is that easy to apply: Please visit our website https://vds-ecology-evolution.univie.ac.at/phd-journey/during-your-phd/grant-opportunities to apply and to find detailed information on requirements and application documents. Applications must be submitted via the VDSEE website. If you have any questions please contact: Antonia Vogel (antonia.vogel@univie.ac.at) If you have any questions, please contact: Hanna Schneeweiss hanna.schneeweiss@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 05/18/2026 Prae Doc https://vds-ecology-evolution.univie.ac.at/about-us