Università degli Studi Cassino e del Lazio Meridionale

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... University Assistant postdoctoral 60 Centre for Teacher Education Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5674 With 27 teaching subjects, one specialization and over 11,000 student teachers, the University of Vienna is the largest teacher training institution in Austria. At the Centre for Teacher Education (ZLB), we are working to bundle and further develop the various initiatives to improve the quality of teacher education. Together with the faculties and centres involved in teacher education and the universities of teacher education within the North-East Network, future teachers are prepared for the changing needs of a modern school and are enabled to contribute to shaping the learning and living environment of schools on the basis of scientific expertise.  Your personal sphere of play: The position is located in the field of Educational Sciences at the Center for Teacher Education (Chair of School Pedagogy with Special Consideration of Social, Linguistic and Cultural Diversity). The department deals with questions of school participation, inclusion and equal opportunities. We investigate how education systems, schools and teaching create conditions that can promote or limit the learning, well-being and development of children and young people. In doing so, we look at individual development processes as well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines education in all its complexity. The position is limited to 1 year. Your future tasks: Active participation in research, teaching & administration, which means: Participating in research projects/scientific studies International publication and lecturing activities Project applications and third-party funding acquisition Independently holding courses in accordance with collective agreement provisions Student supervision Participation in evaluation measures and quality assurance Participation in research, teaching, and institute administration This is part of your personality: Relevant doctorate/PhD Technical expertise in the field of school pedagogy and diversity/inclusion Relevant publications in renowned, subject-specific media (peer-reviewed; Q1) National & international lecturing activities Experience in managing externally funded projects Experience in securing external funding Knowledge of university processes and structures Excellent methodological skills in the field of empirical educational research (quantitative research, qualitative research, systematic reviews/meta-studies) Didactic skills in the field of university teaching Teaching experience in the field of teacher training Experience in student supervision (supervision of master's theses) High level of written and oral communication skills Very good written and spoken German and English skills Ability to work well in a Team What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). 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 in the center of beautiful Vienna 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. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (full-time basis) (14 times a year) for a period of X years / X months increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree  Contact details of persons who could provide reference letters Via our job portal/ Apply now -  button If you have any questions, please contact: Susanne Schwab susanne.schwab@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: 06/30/2026  Post Doc

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