Department of Mathematics at the Faculty of Digital and Analytical Sciences, University of Salzburg
Tenure Track Position
„Optimization“
Assistant Professorship §99 (5) Austrian Universities Act 2002
Planned start date: 1 March 2027
Job description for the tenure track position:
The position is based in the Geometry/Optimization research group within the Department of Mathematics. The successful candidate is expected to establish a research and teaching focus in optimization. The Department is looking for a candidate with an internationally recognised research profile in the field of mathematical optimization, e.g. in the areas of polyhedral optimization and discrete geometry, optimization in connection with convex analysis and its theoretical or algorithmic foundations, or in other research areas at the interface between optimization, geometry and/or convexity. Academic links to the department’s existing research areas are desirable. In terms of teaching, the successful candidate is expected to hold courses in German on optimization and related mathematical fields for students of mathematics and other degree programmes.
A tenure track position at the University of Salzburg offers clear career development opportunities leading to an associate professorship in strategic focus areas of the university. The four-year tenure track phase includes clearly defined development goals and interim evaluations based on individually agreed qualification targets.
An assistant professorship at the University of Salzburg offers opportunities to develop innovative research, committed teaching, and social responsibility. Assistant professors encourage early-career scientists, value interdisciplinarity, organise third mission activities, and are involved in university committees and internationalisation. With a sense of responsibility, integrity, and innovative strength, they shape a respectful working environment and promote scientific, technological, and social developments.
Required qualifications
considering academic age and individual career path
- Doctorate in mathematics or equivalent foreign university degree (PhD);
- profound knowledge of mathematical optimization (as described above), demonstrated by relevant academic publications, teaching experience or externally funded projects;
- proven independent academic research and publication activity and willingness to acquire third-party funding for research projects, as well as commitment to research management and university-level teaching;
- national and/or international networking, ideally with active participation in interdisciplinary collaborations;
- experience in university self-administration;
- good written and spoken German and English skills or willingness to achieve level B1 (German) or B2 (English) in the other language within three years.
Desired skills
considering academic age and individual career path
- proven external (outside the University of Salzburg) academic activity, preferably abroad, minimum 1 year;
- social skills for staff and student development and collaboration, awareness of diversity, equity, and inclusion topics, and the ability to lead teams in an inspiring way, implement strategic goals, and foster a cooperative, appreciative work culture;
- digital skills in dealing with contemporary technologies und their application.
Application
your application includes the following documents as one PDF:
- application form (Link);
- letter of motivation and concept for planned research, teaching and third mission activities, in particular a proposal for qualification agreement targets;
- curriculum vitae including
- description of research achievements (in particular third party projects);
- description of experience and activities in teaching (and, if applicable, supervision/mentoring experience); including course evaluations and teaching certificates, if available;
- description of third mission activities;
- description of social and digital skills;
- list of publications and presentations;
- proof of relevant university degrees;
- a brief statement (maximum one page) explaining how your research and teaching activities in the field of optimization relate to the mathematical areas specified in the job description;
- brief descriptions and digital copies of up to three publications relevant to this post;
- up to three letters of recommendation (optional).
If necessary, submission of additional documents (e.g. relevant publications) may be requested.
Deadline for applications: 25 October 2026 (23.59 CET)
Planned hearing date(s): to be announced
Applications should be addressed to the Head of the University (“Rektor”), Univ.-Prof. Dr. Bernhard Fügenschuh.
E-Mail:
Subject: 2026_20_995
We regret that expenses for travel and accommodation incurred in the job application cannot be refunded.
The University of Salzburg seeks to increase the proportion of women in academic and administrative areas and therefore encourages female candidates to apply. Considering the respective biography women will be given preference over equally qualified men.
People with disabilities or chronic illnesses who fulfil the job requirements are also expressly invited to apply.
We also encourage people with disabilities or chronic illnesses who meet the professional requirements to apply. If you have any questions about accessibility and support during the application process, please contact the Family, Gender, Diversity & Disability team at +43 662 8044 2462 or .
Salary and contract duration
Grade A2 according to § 49 sec. 2 of the Collective Bargaining Agreement; monthly salary € 6.389,50 gross (14 payments per year). If the qualification agreement is not concluded at the start of employment, initial grading will be B1 according to § 49 sec. 3b) of the Collective Bargaining Agreement, monthly salary: € 5.014,30 gross (14 payments per year).
Contract duration: Six years. Upon achievement of the agreed qualification targets, the contract becomes permanent (Associate Professor).
Contact
For further information, please contact Prof. Andreas Schröder at .
Please note that in case of doubt, the German version of the job advertisement is binding.