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PhD Student in Deep Learning of Carotid Imaging Data (m/f/d)

   Institute for Stroke and Dementia Research

   Applications accepted all year round  Funded PhD Project (Students Worldwide)

About the Project

The Hospital of the University of Munich, Germany, is one of the largest and most competitive university hospitals in Germany and Europe. 49 specialized hospitals, departments and institutions harbouring excellent research and education provide patient care at the highest medical level with around 11.000 employees.

The Institut für Schlaganfall- und Demenzforschung on the Campus Großhadern invites applications for the department Stroke Research on the next possible date, in full time, for a PhD Student in Deep Learning of Carotid Imaging Data (m/f/d).

Scope of duties

You will work on a research project with the following objectives:

  • apply deep learning to detect signatures of high cardiovascular risk in images and videos derived from carotid artery ultrasound and compare the utility of the derived algorithms with current clinical prognostic models
  • develop deep learning algorithms in a large set of images and videos from carotid artery ultrasound, with the aim of automating the process of segmenting key anatomical features of the images
  • analyse large-scale omics data, such as genomics and proteomics, to explore the genetic profile and proteomic underpinnings of phenotypes defined by deep learning
  • follow-up on newly detected signals in analyses involving human atherosclerotic samples as well as largescale epidemiological studies both in-house and from collaborating biobanks to detect potential drug targets for cardiovascular disease
  • uncover imaging biomarkers of human atheroinflammation by applying machine-learning tools on highresolution carotid MRI and PET data to detect imaging and proteomic signatures of the immune landscape of human atherosclerotic plaques

Our requirements

  • Has an MSc degree in computer science, data science, epidemiology, biostatistics, public health, biomedical sciences, or related disciplines
  • Ideally has experience with machine learning algorithms and programming in Python
  • Enjoys working with and analyzing large data sets
  • Mandatory vaccination in healthcare: Since 16.03.2022, all employees in hospitals will be subject to mandatory vaccination against SARS-CoV-2

Our offer

  • Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV-L) including all allowances customary in the public sector
  • You will be working in a multidisciplinary team with an extensive track record in stroke, epidemiology, bioinformatics, genomics, and biomarker discovery, have full access to all facilities available at the Institute for Stroke and Dementia Research, engage in national and international collaborations and take part in the international training programme of the Center for Stroke and Dementia Research and SyNergy
  • In addition, there is the possibility to apply for enrollment in the Graduate School for Systemic Neuroscience (GSN), to which our Institute is affiliated
  • We offer further education and training, company pension scheme, mobile work (if suitable), childcare services, job ticket, discounts and staff accommodation

Disabled persons will be preferentially considered in case of equal qualification. Presentation costs cannot be refunded. For further information please contact Dr. Marios Georgakis, e-mail: .

Apply now

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