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Job offers

Thank you for your interest in our job offers. Please send your application documents to the contact details given in the advertisement or to: bewerbung@iccas.de. We do not currently have a suitable position for you? Of course, we are always looking for reliable employees and student assistants in the fields of computer science, medical technology, bioinformatics, mathematics, engineering, mechanical engineering or similar and are happy to accept your spontaneous applications. We will review your resume regardless of whether we currently have a position to fill that matches your profile and will get back to you at the first opportunity.

Job-offer

Employees for administrative tasks

Medical-technical radiology assistant

Student and research assistants

If you are interested in working as a student or research assistant, please send your application to: bewerbung@iccas.de

SHK/WHK wanted for research office
Contact: Frederik Krabbes
Relevant disciplines:computer science, engineering science

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Contact: Frederik Krabbes

Internships

Internship at the ICCAS

Web-based HSI tissue atlas – Implementation of a web-based tissue atlas for hyperspectral data
Contact: Hannes Köhler
Relevant disciplines: computer science, media informatics, medical informatics

Thank you for your interest in our theses offers. Please send your application documents to the contact details given in the advertisement or to: bewerbung@iccas.de.
You are also welcome to send us an unsolicited application to ICCAS.

Master Theses

Model-based Automation and Integration

Implementation of a multitask/pretraining concept
Contact: Adrian Lindenmeyer
Relevant disciplines: Informatics, medical technology, bioinformatics, mathematics, engineering, mechanical engineering

Filtering and Compensation of Electrical Impedance Tomography Reconstruction Artifacts
Contact: Reinhard Fuchs
Relevant disciplines: Medical technology, medical informatics or a comparable course

Photogrammetry for patient-specific electro-impedance tomography reconstruction
Contact: Reinhard Fuchs
Relevant disciplines:Medical technology, medical informatics or a comparable course

Data Synthetization for Emergency Medicine Research
Contact: Jan Gaebel
Relevant disciplines:computer science, Medical technology, bioinformatics, Engineering

Creation of evaluation pipeline for generative models and synthetic data
Contact: Malte Blattmann
Relevant disciplines: computer science, Engineering, mathematic

Extension of existing machine learning parameter search pipeline by new optimization method
Contact: Malte Blattmann
Relevant disciplines: computer science, Engineering

Development of methods for the correction of HoloLens 2 position data
Contact: Michael Unger

Multimodal Intraoperative Imaging

Intraoperative imaging – Development of intelligent algorithms for the automatic classification of different anatomical structures
Contact: Marianne Maktabi
Relevant disciplines: computer science, mathematics

Bachelor theses

Computer-assisted Image-guided Interventions

In vitro thrombi preparation
Contact: Denis Gholami Bajestani

Modell-based Automation and Integration

Investigation of asynchronous ventilation by determining the time constant of regional EIT curves
Contact: Reinhard Fuchs
Relevant disciplines: Medical technology, medical informatics or a comparable course

Field Hospital Patient Monitoring
Contact: Jan Gaebel
Relevant disciplines:computer science, Medical technology, bioinformatics, Engineering

Extension of existing machine learning parameter search pipeline by new optimization method
Contact: Malte Blattmann
Relevant disciplines: computer science, Engineering

Reduction for 3D optimization
Contact: Ivan Matyash
Relevant disciplines: computer science, Engineering, mechanical engineering

Design and implementation of a program for automatic creation of medical device specification files in XML schema
ContaCt: Gregor Thürk
Relevant disciplines: computer science, media computer science or a comparable course

Multimodal Intraoperative Imaging

Intraoperative imaging – Development of intelligent algorithms for the automatic classification of different anatomical structures
Contact: Marianne Maktabi
Relevant disciplines: computer science, mathematics