University of Innsbruck
5 days ago
Full-Time PhD in Mathematics of Diffusion Models, Inverse Problems and Machine Learning University of Innsbruck in Austria
Degree Level
PhD
Field of study
Computer Science
Funding
This is a full-time doctoral employment contract for three years at 40 hours per week. The salary starts at €3,776.10 gross per month at level B1 of the Austrian universities' collective agreement, plus allowances of approximately one-third above most PhD contracts in Austria. The position includes enrolment in the University of Innsbruck's doctoral programme in Mathematics, structured training, winter schools, transferable-skills courses and two secondments at international academic and non-aca
Deadline
Dec 10, 2026
Country
Austria
University
University of Innsbruck
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About this position
Full-time PhD opportunity in Mathematics at the University of Innsbruck, Austria. The MSCA project IGNIDTE DC5 seeks a doctoral researcher interested in the mathematics of diffusion models, inverse problems, generative models and machine learning.
The research is suited to applicants with a Master's degree in mathematics, or in physics or computer science with a strong mathematical focus. Candidates should have solid training in analysis, linear algebra, probability theory or stochastics, programming skills in Python, and a genuine interest in mathematically grounded machine learning. Purely application-oriented profiles without documented mathematical preparation are not a good fit. Applicants must not already hold a doctoral degree and must satisfy the MSCA mobility rule for Austria.
The successful candidate will receive a three-year, full-time doctoral employment contract at 40 hours per week, with a starting gross salary of €3,776.10 per month plus allowances. The position includes enrolment in the University of Innsbruck doctoral programme in Mathematics, structured training, winter schools, transferable-skills courses and two secondments at international academic and non-academic partner institutions. The project offers an interdisciplinary setting connecting mathematics with clinical radiology.
Apply online by 10 December 2026. Select DC5 as your preferred doctoral project and include a two-page research proposal. Shortlisted applicants will attend online interviews between 18 and 31 January 2027, with decisions expected by the end of February 2027. Informal project enquiries can be sent to Markus Haltmeier at [email protected]; programme questions can be sent to [email protected].
Funding details
This is a full-time doctoral employment contract for three years at 40 hours per week. The salary starts at €3,776.10 gross per month at level B1 of the Austrian universities' collective agreement, plus allowances of approximately one-third above most PhD contracts in Austria. The position includes enrolment in the University of Innsbruck's doctoral programme in Mathematics, structured training, winter schools, transferable-skills courses and two secondments at international academic and non-aca
What's required
Applicants must hold a Master's or equivalent degree in mathematics, or in physics or computer science with a strong mathematical focus, with the final certificate available before employment begins. Applicants must not already hold a doctoral degree. Solid foundations in analysis, linear algebra and probability theory or stochastics are required, along with Python programming skills and an interest in inverse problems, generative models and machine learning. Purely application-oriented profiles without solid, documented mathematical training are not suitable. Applicants must satisfy the MSCA mobility rule: they must not have lived, worked or studied in Austria for more than 12 months during the 36 months before 10 December 2026.
How to apply
Apply online at https://ignidte.i-med.ac.at/apply/ by 10 December 2026. Select DC5 as the preferred doctoral project and upload a two-page research proposal for it. Shortlisted candidates will be interviewed online from 18–31 January 2027.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.