Swiss School of Business and Management Geneva

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 postdoctoral 45 Faculty of Philological and Cultural Studies Startdate: 01.06.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.05.2031 Reference no.: 5534 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! The Department at the University of Vienna is the largest academic center covering all fields relating to the German language and German-language literatures. The core areas are Modern German Literature, Medieval German Language and Literature, Germanic Linguistic, German as a Foreign and Second Language, and German Teaching Methodology. In addition, the areas of Gender Studies, Cultural Studies, Media Theory, Literary Theory, and Literature for Children and Young Adults are well established. More than 5000 students are enrolled. Your personal sphere of play: This position is based in the German as a Second Language Research Group at the Institute of German Studies. The Institute of German Studies at the University of Vienna is Austria’s largest research and educational center for all aspects of the German language and German-language literature. In the German as a Second Language working group (headed by Prof. Dr. İnci Dirim), you can expect a small, dedicated team, a supportive work environment, and the opportunity to contribute and implement your own ideas. The position involves contributing to the disciplinary development of German as a Second Language in both research and teaching. The focus will be on research into the professional development of school teachers. Additionally, an approach grounded in migration pedagogy is expected. Your future tasks: Active participation in research, teaching & administration, which means: Working at the Institute of German Studies, Department of German as a Foreign and Second Language, German as a Second Language Working Group Contributing to research, teaching, and administration Developing and expanding an independent research profile  Participation in research projects and academic studies Contribution to publications Assistance in organizing conferences, symposia, and other events Independent teaching of courses in the field of German as a Second Language Examination duties, particularly for theses Student advising Participation in evaluation measures and quality assurance Project proposal development and acquisition of external funding Opportunity to write a habilitation thesis This is part of your personality: Completed doctorate/PhD with a focus on German as a Second Language  Excellent written and oral communication skills Teaching experience in the field of German as a Second Language Teaching experience in university and non-university settings related to migration Research experience Experience with e-learning Ability to work in a team Knowledge of university processes and structures Expected: Empirical research focusing on German as a second language, language education, and language support in the context of schools as educational institutions Theoretical and practical work experience in the context of migration and education Experience in securing external funding Migration-focused pedagogical approach High social/communicative skills What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid (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 (14 times a year) for a period of 5 years 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 content questions, please contact: Inci Dirim inci.dirim@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: 05/06/2026 Post Doc

Tenure-Track Professor/Associate Professor/Assistant Professor in HKU Business School and the School of Computing and Data Science Ref.: 536106 Work type: Full-time Department: Faculty of Business and Economics (07030) Categories: Professoriate Staff Applications are invited for a joint appointment as Professor/Associate Professor/Assistant Professor in Statistics in HKU Business School and the School of Computing and Data Science, to commence as soon as possible. Appointment 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 contract. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms. HKU Business School HKU Business School is a leading business school in Asia, offering a full range of undergraduate, taught postgraduate, MBA, EMBA and research postgraduate programmes. It is ranked 1st in Asia and 6th globally in the 2025 UTD Business School Research Ranking, and 1st in Asia and 11th globally in the 2026 Financial Times Research Ranking. The School has a strong cohort of academic staff across six academic areas and provides a vibrant environment for high‑impact research and education. The School is committed to excellence in research and teaching, and to fostering impactful scholarship that serves Hong Kong, the Greater Bay Area, China and the world. Further information about the School can be found at https://www.hkubs.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, 21st in Computer Science and Information Systems, and 32nd in Statistics and Operational Research in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. We are seeking outstanding scholars whose research and teaching lie at the interface of modern statistical methodology, artificial intelligence and data science, and who can contribute to cross-disciplinary collaborations between HKU Business School and the School of Computing and Data Science. The appointee will have their tenure home in HKU Business School (Statistics Group), and will be jointly appointed to the School of Computing and Data Science.  As an AI+Business hire, the appointee is expected to develop a creative and impactful programme of research and teaching that integrates advanced statistical methods and AI with business, economics, and insurance and to play a leading role in fostering collaborations across the two units. The Statistics Group in the Innovation and Information Management (IIM) Area at HKU Business School The Statistics Group in the IIM Area at HKU Business School focuses on statistics and business analytics. The Group’s main research interests span the frontiers of modern statistical methodology and applications, including (but not limited to) machine learning, artificial intelligence, high-dimensional statistical inference, functional data analysis, time series analysis, econometrics, factor models, and privacy protection. The Group’s research is widely applied in areas such as healthcare and bioinformatics, service engineering, financial markets, educational assessments, and psychological measurement. The appointee is expected to complement and strengthen these areas, and to contribute to the Group’s growing portfolio of AI- and data-driven business analytics research. Duties The appointee is expected to: develop and maintain a vigorous, high-quality research agenda with a strong AI and data science component; publish in leading peer-reviewed journals and present at major international conferences; seek and secure external competitive research funding; contribute to teaching at undergraduate and postgraduate levels in statistics, data analytics and related areas, including AI-rich programme offerings; supervise research postgraduate students; and undertake service and administrative duties in HKU Business School, the School of Computing and Data Science, and the University as appropriate. Those appointed at Professor/Associate Professor level will also be expected to mentor and nurture the next generation of scholars and researchers, and assume high-level service/administrative responsibilities. Qualifications Applicants should possess a Ph.D. in Statistics, Data Science, Computer Science, Econometrics or a closely related field. The ideal candidate will: demonstrate a robust research record in statistics and/or machine learning, with applications in business, economics, finance, insurance or related areas; show evidence of, or potential for, cross-disciplinary research that bridges statistics, AI and business; exhibit a strong commitment to excellence in both research and teaching; and for appointment at Professor/Associate Professor level, have an international reputation and proven academic leadership in their field. What we offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  At current rates, salaries tax does not exceed 15% of gross income.  The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary.  Housing benefits will be provided as applicable. How to apply The University only accepts online applications for the above post. Applicants should apply online and upload: (i) a cover letter explaining their fit for a joint appointment and outlining how they can contribute to cross‑disciplinary teaching and research that bridges statistics, AI and business; (ii) a curriculum vitae; (iii) a research statement (including current and planned collaborations with both business and data science communities); (iv) a teaching statement (including experience or plans in AI‑rich and interdisciplinary curricula); and (v) 2 or 3 of their most significant research publications, together with the names and contact information of at least three referees who can comment on their research, teaching and collaborative track record. Review of applications will commence as soon as possible and continue until June 30, 2027, or until the posts are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Advertised:Apr 27, 2026 (HK Time) Applications close:Jun 30, 2027 (HK Time)

Manchester Metropolitan University is ambitious, values‑driven and forward‑looking. Recently named Times and Sunday Times Modern University of the Year 2026 and recognised nationally for student satisfaction, outstanding research strengths, sustainability and colleague experience, the University is making significant investments in its people, estate and research capacity as part of its Road to 2030 strategy. The University is now seeking an exceptional academic leader to become its next Faculty Pro‑Vice‑Chancellor for Arts and Humanities. This is a rare opportunity to lead one of the UK’s largest and most distinctive arts and humanities faculties and to build something visible, lasting and impactful at scale, as a key part of the University’s Executive Team. The Faculty of Arts and Humanities is a bold and diverse intellectual community spanning art and design, digital arts, architecture, fashion, English, history, politics, philosophy, sociology and criminology. With over 700 academic colleagues and around 11,500 students, it combines scale with quality. Multiple disciplines deliver consistently strong National Student Survey outcomes, Art and Design and English are ranked in the top ten nationally for research power in REF 2021, and there is an overarching culture of collaboration that translates ideas into real‑world impact. As Faculty Pro‑Vice‑Chancellor, you will have the scope to shape a compelling, long‑term vision, identifying opportunities for growth, investment and innovation. You will bring pace and clarity to a complex and diverse portfolio, aligning schools around a unifying strategy to accelerate performance and ensure the Faculty is well positioned for the next decade. By leveraging both scale and place you will maximise its role within Greater Manchester and the wider North West, and extend its influence both nationally and internationally. To achieve this we are seeking an outstanding academic leader, an individual with superb communication skills, a research profile of international renown, a deep understanding of contemporary higher education, and a demonstrable track record of leading complex academic communities in the Arts and Humanities domains. We are committed to equity, diversity and inclusion and warmly encourage applications from candidates from underrepresented groups. Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from all local and international communities, including Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals. For further information and details of how to apply, please visit www.odgers.com/95892 Closing date: 5pm on Friday 29 May 2026. Final Interview date: Thursday 16 July 2026 Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from all local and international communities, including Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals. We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester Met is a Disability Confident Leader and, under this scheme, aims to offer an interview to disabled people who apply for the role and meet the essential criteria as listed in the attached Job Description for that vacancy.