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Archiv-Übersicht     Angebot Nr. 14583

Angebotsdatum: 10. Mai 2022
Art der Stelle: Doktorarbeit / Diplomarbeit
Fachgebiet: Humanmedizin > Neurologie
Titel des Themas: PhD Position – Systems Neuroscience

Institut: Forschungszentrum Jülich GmbH
Frau Walber
52428 Jülich bei Köln
Tel.:    Fax.:
Bundesland: Nordrhein-Westfalen
Homepage: http://https://www.fz-juelich.de/portal/EN/Careers/application/_node.html?cms_hre_link_id=HRH8D74oJ7Vjvi2a&cms_lang=en
E-Mail Kontakt: mail

Beschreibung: Conducting research for a changing society: This is what drives us at Forschungs­zentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand societal challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,100 employees in one of Europe’s biggest research centres and help us to shape change!

Researchers at the Cognitive Neuroscience department of the Institute of Neuroscience and Medicine (INM-3) investigate the neural mechanisms underlying motor and cognitive (dys-)function in healthy subjects and patients suffering from neurological and psychiatric disorders. Our scientific mission is to further the understanding of stroke-induced disturbances in brain networks and the development of novel brain stimulation approaches to promote recovery of function. To achieve this, we combine neuroimaging (structural / functional MRI, electroencephalography) and computational neuroscience with technical interventions (TMS) that allow us to enhance neural plasticity and neurorehabilitation.

We are offering a
PhD Position – Systems Neuroscience

Your Job:
The successful candidate will be part of a translational cooperation project led by Professor Mathias Hoehn (INM-3) and Dr. Markus Aswendt (University Hospital Cologne) on the coupling of structural and functional network reorganization after stroke. You will work on a completely novel analysis approach of longitudinal rs-fMRI and DTI / DSI data in mice with different models of experimental stroke. Main questions to address:

1. Are structural and functional networks (and their alterations) coupled?
2. Do network changes have the same timeline for structural and functional networks?
3. What are the degeneration and regeneration patterns in both networks? To answer these questions, you will develop an advanced computational workflow, e.g. using graph theory and network-based statistics.

This includes:
- Acquisition and analysis of ultra-high field MRI mouse brain data
- Application and further development of in-house tools (https://github.com/aswendtlab) for automated processing, graph theory, and machine learning
- Interaction with a dynamic multidisciplinary team and collaborators from psychology, medicine, and computational neuroscience as well as the University Hospital Cologne
- Presentation and publication of the results at international conferences and in peer-reviewed journals

Your Profile:
- Completed study (master) in neuroscience, mathematics, informatics, bioengineering, physics, psychology, or a related discipline
- An affinity to programming, including programming skills in MATLAB and Python
- Previous research experience with systems neuroscience / neuroimaging techniques (psychophysics, EEG, DTI, fMRI, etc.) is desirable
- Advanced English communication skills (written and spoken)
- Intrinsic motivation, initiative, and an ability to work independently

Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree:

- A highly motivated group as well as an international and interdisciplinary working environment at one of Europe’s largest research centers
- Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree
- Chance of participating in (international) conferences and project meetings
- Continuous scientific mentoring by your scientific advisor
- Participation in overarching seminars including certificates
- Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
- 30 days of annual leave as well as an arrangement for bridging days (e.g. between Christmas and New Year’s Day)
- Extensive company health management
- Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/judocs
- Targeted services for international employees, e.g. through our International Advisory Service

The position is initially for a fixed term of three years. Pay will be in line with 65% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60% of a monthly salary as special payment (“Christmas bonus”). Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at: www.fz-juelich.de/gp/Careers_Docs.

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities, in which everyone can realize their potential, is important to us.

We look forward to receiving your application until June 5, 2022 via our Online Recruitment System:

Questions about the vacancy?
Get in touch with us by using our contact form:
Please note that for technical reasons we cannot accept applications via email.

Anfangsdatum: 1. Juni 2022
Geschätzte Dauer: The position is initially for a fixed term of thre
Bezahlung: 65% of pay group 13 (TVöD-Bund)