Fachhochschule Kufstein Tirol is highly pleased to announce the offer of a 12-month postdoctoral position in the field of Computational Imaging and cryo-electron tomography, starting with immediate effect.
The position is part of a research project in collaboration with Biohub.
The goal of the project is to develop computational methods for deformation-aware reconstruction in cryo-ET. The focus lies on modeling and correcting local, non-rigid deformations in tilt-series data, in particular using compact differentiable representations such as Gaussian primitives, Gaussian Splatting, or related approaches.
Postdoc Position in Computational Imaging / Cryo-ET Reconstruction (w/m/d)
Ref.Nr.: 06-26 | earliest | Full time | 1 year limitation
Responsibilities
- 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 with PyTorch
- Evaluation on simulated and experimental cryo-ET data
- Documentation of results and preparation of scientific publications
Candidate Profile
- Completed PhD in Computational Imaging, Computer Vision, Computer Science, Applied Mathematics, or a related field
- Excellent programming skills in Python with 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 work
- Excellent English skills
The Project Offers
- 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 and data from state-of-the-art microscopes
- The opportunity to publish and present the scientific results of the project
In addition to a gross salary of EUR 65.000,00 per annum (salary is depending on qualifications, experience and individual skills), we offer an attractive incentive programme, a wide range of training and development opportunities, and the option to work remotely for a substantial proportion of the time (40%).
We would highly appreciate your application sent to personal@fh-kufstein.ac.at
Further positions: www.fh-kufstein.ac.at/karriere
