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Johann Radon Institute for Computational and Applied Mathematics

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Postdoc (f/m/x) in the Optimization and Optimal Control Group Johann Radon Institute for Computational and Applied Mathematics in Austria

Degree Level

Postdoc

Field of study

Computer Science

Funding

Minimum annual gross salary: EUR 70,167.44 (full-time based), according to the collective agreement of the Austrian Academy of Sciences.

Deadline

Apr 1, 2027

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Country

Austria

University

Johann Radon Institute for Computational and Applied Mathematics

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Keywords

Computer Science
Data Science
Mathematics
Uncertainty Analysis
Optimal Control
Optimisation
Statistics
Differential Equation
ML
compututional

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About this position

This postdoctoral position is based at the Johann Radon Institute for Computational and Applied Mathematics (RICAM) in Linz, Austria, within the Optimization and Optimal Control Group. The successful researcher will join a lively research environment and collaborate with international experts working on optimization-related topics.

The project focuses on optimization and optimal control for differential equations, with particular emphasis on new developments connected to machine learning and data science. The role is suited to a candidate with a strong numerical and computational background who is interested in applying mathematical methods to modern data-driven problems.

The position is full-time (40 hours per week) and is offered for an initial period of one year, starting from May 15, 2027.

The advert also notes that the post comes with a competitive salary in line with the Austrian Academy of Sciences collective agreement.

Funding details

Minimum annual gross salary: EUR 70,167.44 (full-time based), according to the collective agreement of the Austrian Academy of Sciences.

What's required

A doctorate related to the advertised research area is required. Applicants should have a strong background in optimization and differential equations, a strong background in numerical mathematics and computing, and excellent English skills. Machine learning and/or uncertainty quantification skills are welcome.

How to apply

Apply via the MathJobs application page. Submit the application before 2027-04-01 using the link provided in the advert.

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