University of Kamina

SBU/Department: School of Health, Medicine and Life Science FTE: 1.0 FTE (37 hours per week) Duration of Contract: Fixed Term (2 years) Salary: UH7 £38,784 pa to £46,049 pa by annual increments on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days, including the closure of our office between Christmas and New Year Location: College Lane Campus This fellowship offers a unique opportunity to apply cutting-edge AI techniques to real-world challenges in health, medicine, and the life sciences. This is an ideal role for a technically strong, forward-thinking researcher who wants to drive meaningful innovation, champion ethical AI, and make a tangible difference to health and biomedical research. Main duties and responsibilities You will design and validate AI models across diverse domains, from clinical trials and pharmaceutical research to biomedical analytics, biomechanics, and sports science, while delivering high-impact demonstrations that showcase the power of AI in practice. Working closely with senior academics, students, and external partners, you will help embed AI into interdisciplinary projects, shape the School’s AI capability, and contribute to grant writing, publications, and international collaborations. You will also play a key role in building AI capacity through training workshops, student supervision, and active participation in academic life. Skills and experience required You will have practical experience in research teams, scholarly publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have a methodical, detail-oriented approach. You will have excellent communication, interpersonal, and presentation skills, combined with adaptability, initiative, and commitment to continuous learning. Public engagement experience is desirable. Qualifications required We’re looking for a talented AI researcher with a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline, as well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or a related field, or equivalent experience. Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the person specification. Internal applicants – please ensure you apply via your employee self-service portal. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Please note, this post cannot be visa sponsored unless you can evidence a PhD / Doctorate. Contact Details/Informal Enquiries: Rich Callaghan (Associate Dean for Research) r.callaghan@herts.ac.uk Closing Date: 26 March 2026 Interview Date: TBC Reference Number: REQ000550 Our vision is to transform lives: UH is committed to Equality, Diversity, and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise that there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits, including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships, free Active Staff sessions, personal and professional development, and family-friendly policies. #GoHerts

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 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 predoctoral 34 Faculty of Law Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.03.2030 Reference no.: 5335 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 scientifically successful. Does that sound like something for you? Welcome to our team! Your personal sphere of influence: As a university assistant prae doc you will be part of the team of Univ.-Prof. Dr. Harald Eberhard and take on tasks such as active participation in teaching as well as in research and publication projects. Our focus is on Austrian and European public law. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Your future tasks: Dissertation writing: you conduct research on your topic, spend one third of your working time on your dissertation or other independent research activities with the aim of deepening your own professional and scientific knowledge. You collaborate in research, teaching and administrative tasks at the Institute. You participate in audits and evaluation activities. You are involved in student support. You are entrusted with the independent execution of courses and holding of examinations. This is part of your personality: Degree: you have completed your diploma/master's degree in law, which entitles you to study for a doctorate, or an equivalent qualification with a focus on Austrian and European public law. Knowledge and areas of interest: You have demonstrable knowledge and focus of interest in Austrian or European public law, ideally through experience in institute operations and teaching experience. In addition, you already have experience or at least willingness in using multimedia teaching and learning formats. You bring specific interests in the research areas focused on in the department (state organization law, administrative procedure and legal protection, rule of law, general administrative law, international and comparative constitutional law, interaction of Union law and national law).  A proven publication record would be desirable. You have knowledge of foreign languages. Corresponding experience abroad would be desirable. You have qualified computer skills in connection with the preparation of legal texts and ready-to-publish manuscripts. You work independently and are both a good communicator and team player. What we offer: Work-life balance: Our employees enjoy flexible, family-friendly 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. Fair salary: The basic salary of EUR 3776,10 (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! It is that easy to apply: Letter of motivation meaningful curriculum vitae degree certificates List of publications, proof of teaching experience (if available) Via our  job portal If you have any questions, please contact: Harald Eberhard harald.eberhard@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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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: 03/25/2026 (MM-DD-YYYY) Prae Doc

The University of Surrey is a global university with a world-class research profile and an enterprising and forward-thinking spirit, committed to research and innovation excellence and to benefitting the economy, society and the environment. Our researchers practise their excellence against the backdrop of our broad spectrum of technological, human, health and social sciences, and their uncommonly strong linkages forged in an integrated campus culture of cooperation. The Centre for Translation Studies (CTS) is dedicated to cutting-edge research, scholarship and teaching in translation, and related modalities of intra-lingual, cross-lingual and cross-modal communication, including modalities aimed at enhancing accessible communication. Since our foundation in 1982, we have contributed to the theoretical advancement of translation and interpreting studies, whilst achieving real-world applicability by studying translation and interpreting as socio-technological practices, highlighting their economic and social value and their role as an enabling force for a globally connected world. The role The Centre for Translation Studies (CTS) at University of Surrey is seeking a Research assistant in natural language processing for accessible science to contribute to the Terminology-Aware Machine Translation for Accessible Science (TaMTAS) project. The project is funded by EPSRC under the CHIST-ERA Call 2025: Science in Your Own Language. Bridging Machine Translation, Natural Language Processing, and scientific expertise, this project addresses the urgent need for accurate and accessible scientific communication by enabling multilingual access to scientific knowledge. It challenges the dominance of English in scientific dissemination and aims to empower both researchers and the general public to engage with science in their native languages. The project brings together an outstanding international consortium, including collaborators from Universitat Oberta de Catalunya, Barcelona Supercomputing Center, Dublin City University and the University of Tartu. The appointed person will contribute mainly to WP4 (Terminology-aware Quality Estimation and Automatic Post-Editing (APE)) which will develop models capable of identifying and characterizing terminological errors, their span, and severity, focusing on critical domain errors. They will also contribute to WP5 (Text Augmentation) which will enhance scientific content for accessibility and educational reuse. The project will require collaboration with the partners of the project, preparation and presentation of research results. For this reason, the appointed candidate is expected to have good communication skills. About you We are seeking a Graduate Researcher with background in natural language processing, computational linguistics or related discipline to join the multidisciplinary team working on the project. The successful candidate will have experience with machine translation, text accessibility and the use of large language models (LLMs) in evaluation, as well as good programming skills. Familiarity with the use of LLMs for quality estimation like the GEMBA prompt is desirable. Knowledge of any of the languages of the consortium in addition to English (Spanish, Catalan, Estonian or Irish) would be a bonus. This is a part-time position available for 2 years with the possibility of extension till the end of the project (31/01/2029). How to apply To apply for this role, please upload a CV and submit a cover letter via the University website. In your cover letter, please make sure you explain why you are suitable for the job. Informal questions can be sent to Prof Constantin Orasan (C.Orasan@surrey.ac.uk) Further details Job Description