Postdoc Position in Computational Imaging / Cryo-ET Reconstruction (f/m/d)

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.

• 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

• 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

• 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%).

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