Postdoc (f/m) clinical neuroimaging

German Center for Neurodegenerative Diseases (DZNE)
Location: 
Bonn
Job Type: 
Full Time
Closing Date: 
Saturday, May 20, 2017

The German Center for Neurodegenerative Diseases (DZNE) investigates the causes of diseases of the nervous system and develops strategies for prevention, treatment and care. It is an institution within the Helmholtz Association of German Research Centres with nine sites across Germany (Berlin, Bonn, Dresden, Göttingen, Magdeburg, Munich, Rostock/Greifswald, Tübingen and Witten). The DZNE cooperates closely with universities, their clinics and other research facilities.

Within the area of clinical research at the DZNE in Bonn we are looking for a

Postdoc (f/m) or research fellow clinical neuroimaging – Code 1467/2017/4

Description: You are working in an interdisciplinary team in Bonn focused on Clinical Research. Clinical research at the DZNE aims to investigate causes and preclinical biomarkers of neurodegenerative diseases, and to study normal and pathological brain structure and function in neurodegenerative diseases. To this end the team, led by Prof. Thomas Klockgether, Director of Clinical Research of the DZNE, is currently establishing several clinical studies including MR-imaging in a multi-center and single site setting. The study facility in Bonn encompasses state-of-the art MR facilities, including 3T MRI scanners (Siemens Skyra) as well as a 7T MRI scanner, an advanced bio-banking program, as well as computational infrastructure supported by IT specialists and physicists.

All study participants will undergo extensive clinical and neuropsychological assessments. Most participants will be part of the study specific imaging with repeated and detailed structural and functional brain imaging (T1, T2, DTI, ASL, BOLD, …). Some studies will include 7T imaging and possibly PET imaging. We are looking for an enthusiastic and ambitious researcher who will contribute to the further development of neuroimaging in the framework of Clinical Research.

Qualifications and experience:
The qualified applicant should have a PhD in medical image analysis, cognitive neuroscience, computer science or related field and a strong research background in medical image processing and neuroimaging. Applicants should have experience with existing tools for the analysis of neuroimaging data (e.g. with SPM, FSL, FreeSurfer, AFNI, etc.), relevant programming experience (e.g. with MATLAB, Python), and proficiency in mathematics and statistics (R, SPSS). Working experience in large-scale clinical studies is highly desirable.

Demonstrable interest in quantitative research, strong analytical skills, ability for independent and critical thinking, and excellent communication and writing skills in the English language are a prerequisite. Creative, highly motivated and team-oriented candidates who dare to take initiative and enjoy working in a fast-growing, dynamic research environment in an internationally oriented biomedical institution, are strongly encouraged to apply.

We offer:

  • 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 two years
  • Employment, payment and social benefits are determined by the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst – TVöD Bund).

You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE. The DZNE is an equal opportunity employer. The DZNE is committed to employing disabled individuals and especially encourages them to apply. Common language at work is English or German.

Please apply via  following link:
https://jobs.dzne.de/en/jobs/28/form

Application documents should include a CV with full publication list, three references, and a summary of research interests.