Postdoc Jobs in Dresden

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.

Um sich zu bewerben, lesen Sie sich einfach die folgende Stellenbeschreibung durch und fügen Sie die relevanten Dokumente bei.

• 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 xmdgtar 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%).