University of London (Institutes and Activities)

Job Description SCHOOL OF CREATIVE ARTS ACADEMY OF VISUAL ARTS Part-time Lecturer (25260664) The Academy of Visual Arts is the first-of-its-kind local institution in delivering Arts and Technology education, which is looking for Part-time Lecturer(s) to teach the course(s) at undergraduate level in the following areas: Unreal VR technology Digital media and fabrication Creative computation Any other related disciplines The ideal candidate should hold a master’s degree or above in related disciplines, with 3 years of experience in creative industries with aspects of content development, budgeting, licensing, administration, marketing, or audience engagement, preferably with teaching experience at the university level. A good command of English and Chinese, excellent communication skills, and a strong sense of responsibility are required. Duties may also include supervision of students, marking of examination papers, and any other work as assigned by the Programme Director and Director of the Academy. The initial appointment will be offered on a part-time basis commencing Sep 2026. Re-appointment thereafter will be subject to performance review and course availability. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for an interview 8 weeks after submission of the application may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.

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 Assitant (praedoc) - Completion Contract 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2026 Reference no.: 5544 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 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 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. The group’s research focuses on data mining - particularly clustering and representation learning - graph mining, and probabilistic machine learning. We place great emphasis on a relaxed, collaborative environment and a collegial atmosphere. Social interaction is a top priority for us and contributes to active scientific dialogue and a positive work environment. Learn more about us at https://dm.cs.univie.ac.at/ Your future tasks: You will actively participate in research, teaching, and administration. This includes, among other things: Your primary responsibility is to complete and submit your dissertation. You will develop new methods in data mining and machine learning, particularly in the areas of clustering representation learning graph mining anomaly detection You will contribute to research projects and scientific studies in the above-mentioned areas. You will independently teach courses in accordance with the provisions of the collective bargaining agreement or assist in doing so. You will publish internationally and give presentations. You will contribute to the organization of meetings, conferences, and symposia. You will participate in faculty, teaching, and research administration.  This is part of your personality: Required Qualifications: You hold a degree in Computer Science or Computer Engineering (Diplom, Master’s, or Magister degree), and a solid foundation in computer science is required. You are currently enrolled in a doctoral program (Computer Science or Business Informatics) at the University of Vienna and are a member of the Doctoral School of Computer Science. You have demonstrated outstanding academic performance (e.g., FÖP within one year, annual submission of progress reports, exceptional publication record). You possess a high degree of motivation and commitment to successfully complete your doctoral studies within the intended timeframe. You have proven expertise in one or more of the following areas: Clustering Representation Learning Graph Mining Anomaly Detection You possess teaching skills and experience with e-learning. You have excellent written and spoken English skills (at least C1 level). (The language of communication within the team is English!) Desirable qualifications: You have publications in leading journals in the field, e.g., ICCV, KDD, ICDM, WWW You are a team player with strong social and communication skills. You work independently and reliably. You have knowledge of university processes and structures. You have international experience You have teaching experience 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! It is that easy to apply: Resume Cover letter outlining your ideas for a potential doctoral project Abstract of your master’s thesis Degree certificates and transcripts with grades from your bachelor’s and master’s programs List of publications, proof of teaching experience (if applicable) If you have any questions, please contact: Claudia Plant claudia.plant@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: 04/25/2026 Prae Doc

0.4fte (Fixed term for 6 months) Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. We are looking for a person with a good Honours Degree in Geography, Geology, Anthropology, Archaeology, Forensic Science, Environmental Science or a similar subject, to work as a part-time Research Assistant with Professor Hunt in a laboratory-based project on the geoarchaeology of the Neanderthal “Flower Burials” at Shanidar Cave, Iraq. The contract is for six months. The work will involve the analysis of sediments, recording of laboratory results, data entry and contribution to the drafting of reports and research papers. Full training will be given in the sediment analysis techniques necessary for the work. You should be an enthusiastic and highly organised individual who will be expected to participate in all aspects of the programme of work, including: the day-to-day running of the research project; sediment granulometry and geochemistry, data recording, entry and interpretation; communicating with Professor Hunt and the wider Shanidar Project team, and assisting with the production of internal reports and manuscripts for publication. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated. LJMU are committed to adhering to the Principles set out in the Researcher Development Concordat; in line with this all fixed-term researchers will be supported to complete 10 days professional development activities per year (pro-rata).