Dezember 4, 2021

open positions / offene Stellen

GIP members may publish job advertisements in the field of Inverse Problems here by writing an email to

PhD position – the University of Siegen

The University of Siegen is offering a PhD position affiliated with the Department of Mathematics. It is associated with the DFG-funded research project ‘Oversmoothing regularization models in light of local ill-posedness phenomena’.

The position should be filled by March 1, 2022 for a period of 2 years and eight months, with 75% of the regular working hours. Remuneration is according to the German public salary scale TV-L 13.
For more information, see the official job advertisement web site

If you have any questions, please contact Prof. R.~Plato via E-Mail:

Application Deadline: December 10, 2021

University Assistant with doctorate (m/f/d) – the University of Graz

At the University of Graz, researchers and students work across a broad disciplinary spectrum to enlarge our knowledge, and find strategies to deal with challenges our society is confronted with and to shape tomorrow’s world. The University of Graz is a place which combines high quality academic research and teaching, where achievement is rewarded, careers are promoted, and social diversity is encouraged – all within a modern, award-winning working environment. Our motto: We work for tomorrow. Join us!

The Institute of Mathematics and Scientific Computing is looking for a

University Assistant with doctorate (m/f/d)

40 hours a week
fixed-term employment for 6 years
position to be filled as of now

Your duties

  • Research in the field of applied mathematics with emphasis on the analysis and the numerics of problems in mathematical image processing, inverse problems and data sciences
  • Collaboration in interdisciplinary cooperation projects and third-party funded projects
  • Independent teaching of courses in the field of applied mathematics, supervision of students and holding of examinations
  • Independent implementation of courses and proportionate holding of examinations
  • Support of students
  • Participation in organizational and administrative tasks as well as in evaluation measures

Your Profile

  • Doctoral degree in a mathematical branch of study
  • Solid knowledge of one of the following fields: mathematical methods in image processing, inverse problems, numerical algorithms for imaging and inverse problems
  • Knowledge in one or more of the following fields: functional analysis, continuous mathematical optimization, algorithmic solution of minimization problems, mathematical foundations of machine learning, mathematical data sciences (desirable)
  • Ability for integration into the institute’s research profile and in particular into interdisciplinary cooperation projects
  • Ability to teach in german language
  • Capacity for teamwork, organizational talent and ability to communicate
  • Scientific publication activity according to academic age
  • Didactic aptitude for participation in teaching
  • Excellent command of written and spoken English

Our Offer

Salary scheme of the Universitäten-KV (University Collective Agreement): B1

Minimum Salary
The minimum salary as stated in the collective agreement and according to the classification scheme is EUR 3.945,90 gross/month (for full-time employment). This minimum salary may be higher due to previous employment periods eligible for inclusion and other earnings and remunerations.

We offer you a job with a lot of responsibility and variety. You can expect an enjoyable work climate, flexible work hours

and numerous possibilities for further education and personal development. Take advantage of the chance to enter into a challenging work environment full of team spirit and enthusiasm for your job.

Application deadline: 08.12.2021

The University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply.
Especially with regard to academic staff, we welcome applications from persons with disabilities who meet the requirements of the advertised position.
Applicants with proof of COVID-19 vaccination will be given preference if equally qualified. For further information, please

refer to our general application regulations.