Trakya University

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently seeking a/an Senior Lecturer - Digitalization 37 Faculty of Business, Economics and Statistics Startdate: 01.10.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2030 Reference no.: 5638 In case of positive evaluation at the end of the fixed-term period of 4 years, the position will be changed to a permanet position. Do you enjoy working with young people, are you curious, and do you want to pass on your knowledge?  As a Senior Lecturer, you play a crucial role in educating students. In addition to providing a solid academic education, we also place a special emphasis on the personal development of students. We support students in developing curiosity and critical thinking, thereby creating a solid foundation for the professional challenges of the next generation. We are looking for a committed and experienced scholar who would like to take on a central role within our academic community. Your workplace: As a Senior Lecturer, you will primarily teach in the area of digitalization. You will play a key role in introducing students to the fundamentals of digitalization in (International) Business Administration. This includes programming and analytics courses, for example in the fields of Business Analytics, the use of Artificial Intelligence, and relevant software and programming tools for applications in economics and business studies. Your teaching portfolio will also include the critical application of analytics and AI methods in business research, particularly in seminar papers, bachelor’s theses, and master’s theses. The full-time position (40 hours/week) includes a teaching load of an average of 14 semester hours per week of academic teaching. This comprises both large and small course formats covering the above-mentioned foundational topics of digitalization in economics and business studies, AI competency courses for the preparation of academic work, the teaching of bachelor seminars, and the supervision of master’s theses (in accordance with the statutes of the University of Vienna). Close integration with the introductory and advanced digitalization modules of the degree programmes in Business Administration, International Business Administration, and Economics is intended. Your future tasks: You will independently teach courses, primarily at the bachelor’s level, but also at the master’s level. You will actively contribute to the (further) development of teaching and examination formats in the field of digitalization for (International) Business Administration. Continuous engagement with the current state of technology and research, as well as ongoing didactic training during lecture-free periods, is expected. In addition, the role includes administrative responsibilities, particularly in the administration and coordination of teaching. What we expect: Completed doctoral degree in economics/business studies or in computer science, applied mathematics, or statistics with a focus on economics/business studies Several years of independent teaching experience at a post-secondary educational institution Enthusiasm for sharing knowledge and for university-level teaching Excellent command of English Experience supervising academic theses and projects, particularly regarding the use of AI What we offer: Inspiring working atmosphere: You are a part of an international academic team with excellent research infrastructure, dedicated colleagues and students who want to learn from you. 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 5.014,30 (on a fulltime basis) 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: CV and certificates Course evaluation results Letter of motivation (maximum 2 pages) A didactic teaching concept (maximum 2 pages) List of courses taught and supervised theses Publication list and list of any completed research projects or contributions to research projects Please apply via our job portal using the “Apply Now” button. If you have any questions, please contact: Karl Franz Dörner karl.doerner@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: 05/17/2026 (Senior) Lecturer & Researcher

Classification: Academic Level E Terms: Full time, Fixed term up to 5 years The Australian National University (ANU) is seeking to appoint an outstanding Director, John Curtin School of Medical Research, based in the ANU College of Science and Medicine. The John Curtin School of Medical Research was established in 1948 as a founding school of the Australian National University. With a legacy of three Nobel Laureates and numerous other prestigious international and national awards, the School undertakes research into diseases that include cancer, infectious diseases and neurological conditions, drawing on deep expertise in genomics, cancer biology, immunology, and neuroscience. Reporting to the Dean of the ANU College of Science and Medicine, the School Director provides strategic leadership to drive the School’s overall performance. This includes promoting excellence and innovation in research and education, and cultivating a supportive, inclusive, and collegial environment for staff and students. The Director is responsible for enabling academic staff to deliver high-quality research, teaching, policy, and practice outcomes aligned with the University’s strategic priorities. Additionally, the Director oversees the management of the School, including academic, financial, and staffing operations. The Director is the lead advocate for the School and works collegially with other senior staff of the university to achieve the strategic aims of the College and the University. Orchard Talent Group is supporting ANU with this appointment. To discuss this opportunity in the strictest of confidence please contact Phil Graham or Lisa Gleichmann at Orchard Talent. A detailed candidate application pack including position description and selection criteria is available on request. T: +61 2 9157 6222 E: jcsmr@orchardtalent.com.au. Applications close on Sunday 7 June 2026 at 11:55pm AEST. Please note, ANU is not accepting applications through this job portal. All applications should be directed to jcsmr@orchardtalent.com.au. The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion. The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

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