RPTU University Kaiserslautern-Landau

Department: Second Department of Surgery – Faculty of Medicine Deadline: 5 Apr 2026 Start date: 1. 9. 2026 Job type: full-time Job field: Science and research | Education and schooling Director of the St. Anne's University Hospital in Brno and Dean of the Faculty of Medicine of Masaryk University announces a selection procedure for the position: Head of the Second Department of Surgery The Second Department of Surgery is a therapeutic, educational and research clinic of the St. Anne's University Hospital in Brno and the Faculty of Medicine of MU. It is a highly specialized workplace on the issue of vascular diseases. The main activities are vascular-surgical programs. In cooperation with interventional radiologists and angiologists, the clinic provides comprehensive care for vascular patients, including 24-hour permanent service for acute vascular events within the region and supraregionally. As an accredited workplace, it provides undergraduate and postgraduate education in vascular surgery, is involved in scientific research activities and participates in the solution of international randomized multicenter studies. II. The surgical clinic is a part of the Complex Cardiovascular Center and the Cerebrovascular Center established by the Ministry of Health of the Czech Republic. The Department Head position candidate must be a respected expert in the field of surgery, with experience of working in a given area and with expertise in pre-graduate and postgraduate education. The Head of the department will be responsible for the management of the clinic, undergraduate medical education, doctoral studies, publishing and coordination of research conducted at the clinic. The Candidate for Department Head will present his/her idea of fulfilling the above during the selection process. Requirements for a declared position: University education in general medicine or equivalent education acquired abroad; Eligibility to pursue the profession of physician in the relevant field in accordance with Section 5 of Act No. 95/2004 Coll.; Academic degree PhD or scientific rank of CSc; Habilitation within the meaning of Act No. 111/1998 Coll., on Higher Education, the scientific-pedagogical title of professor is an advantage; Personal and professional requirements for managing the medical and academic team of the clinic; Teaching experience and readiness to guarantee vocational subjects taught at the workplace; Scientific and publishing activities in the given field Active knowledge of the Czech language; Moral integrity; Fulfilment of prerequisites according to Act No. 451/1991 Coll. (the Lustration Act); does not have to document persons born after 1 December 1971 and foreign applicants. We offer: Work in an inspiring intellectual environment with an emphasis on multi-disciplinary cooperation; Work in a top medical and educational workplace, with involvement in teaching in a unique simulation centre; Professional growth and the possibility of continuous education (including language); Motivating financial remuneration; Workplace within easy reach of public transport, accommodation near the hospital; Strong emphasis on the safety and health of workers in the workplace, support for family policy; Supplementary pension insurance and life insurance, sick days, holiday allowance and other benefits. Applications together with a structured CV, an overview of scientific and publishing activities, contact details of two persons for references (name, position, telephone number), photocopies of qualification papers and diplomas (external applicants only), a valid licence issued by the Czech Medical Chamber for the position of Head Physician or Chief Physician (or proof of having applied for the licence), a criminal record (no older than three months), certificate according to Act No. 451/1991 Coll. (he so-called Lustration Act; persons born after 1 December 1971 and foreign applicants do not have to provide proof), should be sent to the HR department of the Faculty of Medicine via the e-Application (see below) or a paper form. For more information, please contact Adela Otáhalová at e-mail: adela.otahalova@med.muni.cz

Ref.: 534505 Work type: Full-time Department: Faculty of Arts (04000) Categories: Professoriate Staff Applications are invited for a joint appointment as Associate Professor on tenure terms or Tenure-Track Assistant Professor in the Faculty of Arts and the School of Computing and Data Science (Ref.: 534505), to commence on August 1, 2026 or as soon as possible thereafter. Appointment as Assistant Professor will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. This is an open-discipline call. We are seeking outstanding Humanities scholars capable of developing a creative and innovative programme of research and teaching bridging existing disciplinary strengths in HKUArts and artificial intelligence applications. The appointee will have their tenure home in their specific (inter)disciplinary unit in the Faculty of Arts, but will be jointly appointed to the School of Computing and Data Science and will also become a member of the Institute of Data Science (IDS). As an AI+Arts hire the appointee will foster cross-disciplinary collaborations between strategic research areas in the Faculty and, with the support of the Arts Technology Lab and its staff, take a leading role in applying artificial intelligence (AI) to their research and teaching in the Arts and Humanities. They will develop and maintain high-calibre research, publish their research findings with reputable journals and/or presses, and present their research at conferences, secure external funding through applications for grants, teach courses, mentor students, contribute to service and engage in the scholarly activities of the Faculty. Their teaching will support our AI-rich programme offerings. Applicants should possess a Ph.D. in a relevant field. The ideal candidate will demonstrate a robust research record with a cross-disciplinary approach spanning multiple subfields; a strong commitment to excellence in both research and teaching; and proven academic leadership qualities to contribute to interdisciplinary programmes such as BA&BEng(AI&DataSc) and BA(HDT). The Faculty of Arts The Faculty of Arts, founded in 1912, is a research-led, English-medium faculty offering undergraduate, taught postgraduate, and research postgraduate programmes. One of the University’s three original faculties, with over 3,600 students and some 220 full-time academic and 90 administrative staff, the Faculty of Arts is China’s most international English-language Arts faculty. The quality and comprehensiveness of humanities research and teaching in the Arts Faculty distinguish HKU from other top-ranking universities in China, and make HKU a key vantage point for the study of China’s past and present in relation to the world. The Faculty delivers impact through internationalization, innovation and interdisciplinarity. The Faculty ranges from 1st-4th place in Asia and from 14th-54th in the various world rankings. HKU is the only Asian university in the top 30 ‘Best Universities for Arts and Humanities.’ While HKU regularly places in the top 1-2 most ‘international’ universities in the global rankings, Arts is its most international faculty with 75.7% international professoriate staff. More information about the Faculty is available https://arts.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence and 21st in Computer Science and Information Systems in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. What we offer The successful candidate will be jointly appointed by a Teaching Department in the Faculty of Arts and the School of Computing and Data Science best aligned with the candidate’s expertise. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary for fixed-term appointment. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references. Review of applications will commence as soon as possible and continue until April 30, 2026, or until the post is filled, whichever is earlier. The University is committed to diversity and inclusivity. The Faculty of Arts expressly encourages qualified persons from all genders to apply.

Are you interested in extragalactic astronomy and the study of galaxies and supermassive black holes? Would you like to work in a supportive, collaborative research group engaged in exploiting cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School of Physics and Astronomy at the University of Southampton invites applications for a Research Fellow in Observational Astrophysics to work with Professor Manda Banerji on an STFC funded research project on AGN and their host galaxies. You will exploit state-of-the-art data from the Vera C. Rubin Observatory Legacy Survey of Space Time (LSST), Euclid and 4MOST to constrain the properties of supermassive black holes and their host galaxies and understand co-evolution across a large dynamic range in mass, and over cosmic time. You will be expected to work with colleagues in Southampton as well as international collaborators to lead scientific projects on AGN identification, and measurement of supermassive black hole and host galaxy masses using imaging and spectroscopic data from ground and space. The Southampton Astronomy Group provides a stimulating and collegial environment with many opportunities to collaborate with other group members. Our main research themes are galaxy evolution, compact objects, and time-domain astrophysics. We are strongly committed to diversity in the student and academic population and you will be supported in developing your career while maintaining a healthy work-life balance. The post is for 3 years and the appointment will be full time on University of Southampton Level 4. In addition, the University offers an attractive benefits package and relocation assistance. The nominal starting date is 1st October 2026. Please apply through the university's job portal with a cover letter, CV, publication list, and a statement of research interests (2 pages max). In your application, please highlight how your experience and research interests are relevant or transferrable to studying AGN host galaxies and how you plan to exploit data from LSST, Euclid and 4MOST for such studies. Informal enquiries are welcome via email to Prof Manda Banerji, M.Banerji-Wright@soton.ac.uk. As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.