Kohsar University Murree

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.

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral - Completion contract 39 Faculty of Computer Science  Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.12.2026 Reference no.: 5591 Your personal sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors and co-supervisors who pursue basic as well as applied research within an intensive doctoral teaching programme tailored to the scientific needs of students in small topical groups. The Doctoral School Computer Science provides the option of performance-based contract extensions (up to 6 months) to doctoral students who previously had a position as university assistant (prae doc) or as third-party funded researcher (prae doc) at the University of Vienna. This completion contract is meant to support a high-qualified DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science. 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 participate in your department's and the Doctoral School activities and workshops. You participate in research projects and research studies. You participate in creating publications, academic articles, and  presentations. You participate in conferences and publish research results in peer-reviewed journals. You actively seek support (workshops, training, coaching etc.) if necessary. You supervise project work of students. You participate in teaching and independent teaching of courses as defined by the collective agreement. This is part of your personality: General expectations:  Master's degree in one of the following subjects: Science and Technology Studies, Human-Computer Interaction, Information Science, Communication Science or a related field. Excellent academic and study record (e.g. FÖP within one year, annual submission of progress reports; outstanding publication record etc.). Excellent and up-to-date knowledge of Reinforcement Learning, Hyperbolic Geometry for Reinforcement Learning, and Plasticity in Neural Networks (evidenced by recent publications in A/A* conferences or Q1-WoS journals). Excellent and up-to-date knowledge of typical machine learning and deep learning frameworks such as PyTorch and Jax (evidenced by relevant recently published source code or similar). Experience in university teaching. High level of motivation and commitment to succesfully complete your doctoral studies within the anticipated time frame. High level of written and oral communication skills. Excellent command of written and spoken English (C1 Level) Experience with the structures of the University of Vienna. Member of the UniVie Doctoral School Computer Science DoCS. Desireable qualifications: B2-level German skills International experience Collaborative, team-minded and pro-active attitude. 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. It is that easy to apply: With your scientific curriculum vitae Cover letter/letter of motivation referring to the job posting, especially regarding the required skills for the position, and the goal of completing the dissertation within 6 months of starting employment. With your summary of research interests / ideas for a prospective doctoral project proposal (max. 3 p.) With a plan for the completion of the doctorate: current state, work packages, and timeline until submission of your thesis, including milestones. With a confirmation of enrolment in the doctoral programme  List of publications If you have any content questions, please contact: Sebastian Tschiatschek sebastian.tschiatschek@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: 05/16/2026 Prae Doc

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