- Modeling deformation fields using Gaussian primitives, Gaussian Splatting, or related representations
- Integrating deformation models into reconstruction and alignment methods
- Implementing efficient, differentiable algorithms in Python using PyTorch
- Evaluating methods on simulated and experimental cryo-ET data
- Documenting results and preparing scientific publications
Postdoctoral Position in Computational Imaging / Cryo-ET Reconstruction (f/m/d)
Überblick
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Arbeitsverhältnis:
Vollzeit
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Bewerbungsadresse:
personal@fh-kufstein.ac.at -
Beginn:
as soon as possible
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Bewerbungsfrist:
26.06.2026
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Jahresbruttogehalt:
Bruttogehalt ab € 65.000,- p.a.
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Referenznummer:
06-26
Travel expenses related to the application will not be covered.
Aufgabengebiet
Qualifikationsprofil
Candidate Profile
- Completed PhD in computational imaging, computer vision, computer science, applied mathematics, or a related field
- Excellent programming skills in Python and PyTorch
- Experience in the following areas: Gaussian Splatting or parametric 3D representations; 3D reconstruction; cryo-EM / cryo-ET; inverse problems; and self-supervised learning
- Ability to conduct independent scientific research
- Excellent English skills
The Project Offer
- A challenging postdoctoral position at the interface of computational imaging, inverse problems, and cryo-ET
- Participation in an international research project in collaboration with Biohub
- The opportunity to develop novel methods for modern biological imaging using data from state-of-the-art microscopes
- The opportunity to publish and present the scientific results of the project
In addition to a gross annual salary of EUR 65,000.00 – depending on qualifications, experience, and individual skills – we offer an attractive incentive program, a wide range of training and development opportunities, and the option to work remotely for a substantial portion of the time, up to 40%.
We look forward to receiving your written application at personal@fh-kufstein.ac.at.
Isabella Prem
Personalverrechnerin