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Praedoc (diss) (f/m/x) at the johann radon institute for computational and applied mathematics [...]

Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (
Inserat online seit: 6 April
Beschreibung

Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM)

Organisation/Company Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) Research Field Mathematics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 30 Jun 2026 - 23:55 (Europe/Brussels) Country Austria Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No


Offer Description

Job ID: RICAM043DOC226

The Austrian Academy of Sciences (OeAW), Austria’s leading non-university research and science institution, is offering a Position as

Praedoc (Diss) (f/m/x) in Mathematics of Neural Networks and Neural Operators

for an initial period of one year (with possible extensions upt to a maximum of four years)


Your Tasks

The position is within the framework of the FWF-funded project "Neural Networks in Infinite Dimensions" led by Dr. Ahmed Abdeljawad, and is affiliated with the Mathematical Data Science Group at RICAM, located in Linz, Austria. The position is available from May 01st, 2026 onwards, and the working language is English.

The successful candidate will work on research at the interface of learning theory, approximation theory, and harmonic analysis, with a particular emphasis on the expressivity and complexity of neural networks and neural operators, as well as on the development of novel algorithms connecting theory with practice. For more information contact Dr. Ahmed Abdeljawad at ahmed.abdeljawad@oeaw.ac.at


Your Profile

* Master Degree in Mathematics, Applied Mathematics or a closely related field.

A strong background in at least one of the following areas:

* Harmonic Analysis, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory.
* Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable.
* Good skills of English


Our Offer

Excellent opportunities to work in a lively research environment and collaborate with international experts in the fields related to the project.

The minimum annual gross salary for this position is EUR 53.140,92 (full-time based), in accordance with the collective agreement of the Austrian Academy of Sciences (ÖAW). For part-time employment, the salary will be adjusted on a pro rata basis in line with the agreed working hours.

The Austrian Academy of Sciences (OeAW) pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity. Individuals from underrepresented groups are particularly encouraged to apply. The OeAW cooperates with NEBA and is a member of MyAbility in order to provide appropriate workplace structures, in particular for persons with disabilities.

Number of offers available 1 Company/Institute The Johann Radon Institute for Computational and Applied Mathematics - RICAM Country Austria Geofield

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