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 Further positions:
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Stelleninformationen
Veröffentlichungsdatum:
10 Jul 2026
Standort:
Berlin
Typ:
Vollzeit
Arbeitsmodell:
Vor Ort
Kategorie:
Erfahrung:
2+ years
Arbeitsverhältnis:
Angestellt
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