The German Center for Neurodegenerative Diseases (DZNE) is a unique non-university research center which is dedicated to the subject dementia and all its areas, as well as other neurodegenerative diseases. The center compasses the full spectrum of fundamental research through population sciences to health care research. The DZNE stands for excellence in research and science management, translation of scientific results into practice, interdisciplinarity and internationalization. It is a research center within the Helmholtz Organization of German research centers. With over 1000 employees from 55 nations, spread over 10 sites, the DZNE is one of the national and international leading research centers in its research field. 

PhD Student (f/m/d) in Quantitative Neuroimaging

Code: 1729/2019/11

within the area of clinical research.

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 will encompass state-of-the art apparatus including 3T MRI scanners (Siemens Skyra) as well as a 7T MRI Scanner, advanced bio-banking program and large data storage and computational resources.

We invite applications for a PhD project on multimodal brain imaging in Neurodegenerative Diseases (e.g. spinocerebellar ataxia, Alzheimer, Parkinsonism) in the Clinical Research Group at the German Center of Neurodegenerative Diseases, DZNE, and Bonn, Germany.


Your tasks

Within the framework of multicenter studies the project aims to develop quantitative estimation methods to extract structural and functional features of Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the human brain. This methodological advancement will help in identifying the possible biomarkers with the help of machine learning approaches. Interested candidates are encouraged to develop quantitative computational methods and implement machine learning tools to optimize them.

 

Requirements

We are looking for highly motivated candidates with a Master’s degree (or equivalent) in neuroscience, psychology, biomedical engineering, or a related field, and with a strong interest in neurodegenerative diseases. Proficiency in English is expected; programming skills in MATLAB and python. Candidate should have experience in quantitative methods to analyze structural and functional data and Interest in machine learning tools and their implementation in identification of pathology specific biomarkers. Demonstrable interest in statistical methods, 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 exciting and challenging position in a research center that works on state-of-the art health research topics 
  • The position is funded for three years, extension possible
  • Job location is Bonn, Germany
  • Common language at work is English or German
  • Employment, payment, and social benefits consistent with those at other research institutions

 

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

 

Site

Bonn

Contact details

Dr. Annika Spottke

Working hours

full-time

Contract length

3 years, extension possible

Payment, social benefits

consistent with those at other research institutes

Application deadline

December 12th, 2019

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