03.05.2021, Wissenschaftliches Personal
A PhD position is available at the Department of Neurology of Munich Technical University on the topic „Investigation of proteomic biomarkers for the disease course in multiple sclerosis”. Starting preferably on July 1st, 2021.
The Technical University of Munich (TUM) is one of Europe's top universities. It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. Moreover, the university forges strong links with companies and scientific institutions across the world. TUM was one of the first universities in Germany to be named a University of Excellence and has maintained this status over all three evaluation periods.
The Department of Neurology of the Klinikum rechts der Isar Hospital of Munich Technical University has a focus on inflammatory and degenerative diseases of the central nervous system with a particular interest in multiple sclerosis and Parkinson's disease. Research activities involve experimental models, clinical trials, imaging, biomarker, and genetic studies to better understand the pathophysiology of diseases, monitor and predict the disease course, and develop new treatment strategies. The investigator group “Biomedical Informatics in Systems Neuroscience” aims at the identification of proteomic biomarkers in the cerebrospinal fluid for the disease course and treatment response in patients with multiple sclerosis, to investigate the molecular mechanisms underlying changes in the cerebrospinal fluid proteome with a strong focus on genetic factors and to develop prediction models for the disease course and treatment response in multiple sclerosis.
-Integrate multi-dimensional clinical data with mass spectrometry data of more than 4000 patients with MS or other neurological diseases
-Perform quality control of mass spectrometry data
-Apply various statistical methods to assess factors that influence the cerebrospinal fluid proteome
-Assessment of proteomic biomarkers for the disease course and treatment response in MS patients by association analyses
-Perform pathway analysis on relevant proteins associated with clinical parameters
-You are a highly qualified and motivated student holding a (or being close to obtaining) M.Sc. or equivalent degree in cell/molecular biology, neuroscience, bioinformatics, statistics, or related fields
-You have practical scientific expertise and a strong theoretical background in statistical analysis.
-You have good programming skills in R or Python
-Ideally, you have experience in the application of inferential and exploratory statistical analyses, especially logistic and linear regression models
-You show a strong commitment, motivation, and discipline to work independently and efficiently
-You are a strong team player with the ability to work together with colleagues from various disciplines
-You show an excellent ability to communicate, present, and write in English
-A versatile and exciting position in a research group consisting of the project leader, one postdoctoral researcher and two PhD students
-An outstanding international research environment
-Excellent infrastructure for research in an attractive, versatile workplace
-Access to national and international research networks
-Flexible working hours
-An opportunity to work in the city centre of Munich with good access to public transport systems and benefits in the form of specially discounted public transport tickets
-Performance-related salary in accordance with the TV-L public-sector salary scale (65%) plus attractive benefits offered to public- sector employees
If the candidates’ suitability for the position in question is equal, severely disabled applicants shall be given preference. Interview-related costs can, unfortunately, not be reimbursed.
We look forward to your application!
Please submit your application documents by May 31st, 2021 at the latest via e-mail at email@example.com. Applications should include a CV, cover letter, certificates and the expected availability date.
For further information please contact
Dr. Christiane Gasperi: firstname.lastname@example.org
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