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

Research assistant (f/m/x) in Quantitative Neuroimaging

Code: 1974/2021/6

for August – December 2021.


Your tasks

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 project on multimodal brain imaging in dementia in the Clinical Neuroimaging Group at the DZNE, Bonn, Germany. The candidate will be working at the interface between clinical neuroradiology (contact: Dr. med. Katerina Deike-Hofmann, radiology resident at the Clinic for Neuroradiology) and computational neuroradiology (contact: 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 research assistant will be part of an interdisciplinary team and will help to implement our study and contribute to developing quantitative computational methods to identify possible biomarkers for neurodegenerative disease.

Requirements

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; knowledge in programming and bash scripting are beneficial. Experience in quantitative methods to analyze imaging data and in the use of machine/deep learning tools are an advantage. 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.

We offer

The position is funded from August to December 2021 (payment and social benefits are are determined by the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst). Job location is Bonn, Germany. Common language within the research group is English.

Interested candidates should submit their application including CV with transcripts or degree certificates, a brief statement of research interests and two references via the link below.

Apply here

Site

Bonn

Contact details

Dr. Annika Spottke

Working hours

full-time

Contract length

fixed-term

Payment, social benefits

according to TVöD Bund

Application deadline

July 12th, 2021

You will obtain special skills and knowledge for your scientific qualification at DZNE. The DZNE is an equal opportunity employer. The DZNE especially welcomes and encourages disabled individuals to apply.