scientific research assistant (m/f/d), E13

Carl von Ossietzky University of Oldenburg

Germany

December 24, 2021

Description

In the working group "Assistance Systems and Medical Technology" (Prof. Dr.-Ing. A. Hein) of the Department of Health Services Research of the Faculty of Medicine and Health Sciences of the University Oldenburg, together with the University Clinic for Visceral Surgery (Prof. Dr. Dirk Weyhe) and the Anatomy working group (Prof. Dr. Anja Bräuer) and the research institute OFFIS there is a vacancy for a

scientific research assistant (m/f/d)

(salary group 13 TV-L 65%)

limited to three years.

The aim of this cooperative project called "CAWIP (Clinical Anatomy for Well- Informed Patients)" is the research and development of medical technology solutions for the visual support of patients in the information before surgical interventions. Innovative methods of visualizing and customizing anatomical data via a smartphone are being investigated. The focus of the Department of Assistance Systems and Medical Technology (www. uol.de/amt) is on the development of environmental sensors and personalized assistance functions and machine learning methods.

Within the scope of the position, a smartphone app for patient education prior to cancer surgery will be designed, iteratively developed with users and tested in collaboration with the cooperation partners. Major tasks include:

  • Training and validation of a CNN to detect body features from RGB (D) smartphone images.
  • Accurately localizing organ locations and overlaying corresponding organ images (e.g., from an anatomy atlas ) on the RGB images.
  • The integration of this functionality into an (Android) smartphone application to be developed.
  • The future job holder is expected to have a university degree (Master or equivalent) in computer science, (medical) engineering or in a related field, in case of the application for habilitation a completed doctorate in the mentioned subject areas.

    In addition, you are expected to have experience in machine learning or computer vision. Experience in Android app development is desirable. Programming skills in Python and Java are required. Good German and English skills complete your profile.

    We offer

  • a diverse, stimulating and challenging field of activity in the area of translational medical research,
  • an appreciative, creative and dynamic working environment,
  • the opportunity for self-determined work,
  • the opportunity for academic qualification (doctorate or habilitation),
  • promotion of young scientists (e.g. through further education and training),
  • flexible family-friendly working hours,
  • VBL supplementary pension in the public service.
  • The University strives to increase the proportion of women in the academic field. Therefore, women are strongly encouraged to apply. According to § 21 para. 3 NHG, female applicants are to be given preferential consideration in the case of equivalent qualifications.

    Severely disabled persons will be given preference in the case of equal suitability.

    If you are interested or have any questions, please contact Dr. Verena Uslar (verena.uslar@uol.de). Please send your application with the usual documents - preferably by e-mail (in exactly one pdf file up to 10MB) - until 23.01.2022 under the keyword "AMT CAWIP" to bewerbungen-vf@uni- oldenburg.de, University of Oldenburg, Faculty VI, Department of Assistance Systems and Medical Technology, 26111 Oldenburg.

    Please note that application and interview costs cannot be covered. Written application documents will only be returned if a sufficiently stamped envelope is enclosed.

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