The German Center for Neurodegenerative Diseases (DZNE) is a world-leading internationally oriented research center, committed to discovering new approaches to prevent and treat neurodegenerative diseases. To this end, researchers at ten DZNE sites across Germany pursue a translational and interdisciplinary strategy comprising five interconnected areas: fundamental research, clinical research, health care research, population health science, and systems medicine. www.dzne.de
PhD student in Quantitative Neuroimaging (f/m/x)
You will work in an interdisciplinary team of physicists, MR physicians, and computer scientists at the DZNE Bonn in close cooperation with the Clinic for Neuroradiology of the University Hospital Bonn. Research at the DZNE investigates causes and preclinical biomarkers, and studies normal and pathological brain structure and function in neurodegenerative diseases. To this end, the team, led by Prof. Alexander Radbruch, is currently establishing several studies including MR-imaging in single- and multi-center settings. The group utilizes state-of-the art magnetic resonance imaging techniques, including the use of 3T and 7T MRI scanners, big data, and methodological approaches that enable the development of innovative computational neuroradiological investigations.
We invite applications for a PhD project on multimodal brain imaging in dementia in the Clinical Neuroimaging Group at the DZNE, Bonn, Germany. The candidate will be working directly with Dr. med. Katerina Deike-Hofmann (radiology resident at the Clinic for Neuroradiology) and Dr. Markus D. Schirmer (head of the Computational Neuroradiology AG at the Clinic for Neuroradiology - https://bit.ly/3vBNDNJ). Within the framework of this project, we aim to develop quantitative estimation methods of structural features of neurodegenerative diseases in the human brain. The project is based on data from new sequences that were developed on a 7T MR scanner. These sequences will be transferred to 3T MR scanners to ensure translatability to the clinic and provide additional data. The methodological advancements will help identify possible biomarkers with the use of machine and deep learning approaches. The candidate will develop and implement these quantitative computational methods and use methodological approaches to transfer these methods between MR scanners and field strengths.
- We are looking for highly motivated candidates with a Master’s degree (or equivalent) in computer science, neuroscience, physics, biomedical engineering, or a related field, and with a strong interest in translational computational neuroradiology
- Proficiency in English is expected; programming skills in python and bash scripting are essential. Experience in quantitative methods to analyze imaging data and in the use of machine/deep learning tools are an advantage
- Candidates should be interested in the implementation of these methods to identify pathology specific biomarkers
- A good foundation in statistical methods, strong analytical skills, ability for independent and critical thinking, and excellent communication and writing skills in English are a prerequisite
- Creative, highly motivated and team-oriented candidates, who take initiative and enjoy working in a fast-growing, dynamic research environment in an internationally oriented institution with extensive international collaborations are strongly encouraged to apply.
- An interesting and challenging task in a research center that works on the future topics of health research
- An international environment characterized by a strong focus on science and research
- A high potential for the individual development of our employees
- Targeted personnel development
- A full-time position, initially temporary limited to three years, extension is possible
- Employment, payment and social benefits are consistent with those at other research institutes
Interested candidates should send their applications including CV with transcripts or degree certificates, a brief statement of research interests and two referees.Apply here
Prof. Dr. Radbruch
Payment, social benefits
consistent with those at other research institutes
The DZNE is an equal opportunity employer. It is committed to employing disabled individuals and especially encourages them to apply. You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE.