Translational Analysis in Neuroimaging Full Professorship (W2)

Applications should be made in
English and addressed to Prof. Dr.
Stefan Uhlig, Dean of the Faculty of
Medicine at RWTH Aachen University,
and to Prof. Dr. Laurens Kuipers,
Member of the Board of Directors of
Forschungszentrum Jülich.
Please submit your application online
by April 2, 2026, through the RWTH
appointment portal:
www.berufungsportal.rwth-aachen.de

For inquiries related to the academic
position, please contact Prof. Dr. Felix
Mottaghy at fmottaghy@ukaachen.de.
If you encounter technical issues with
the appointment portal, please get in
touch with our support team at
berufungsportal@rwth-aachen.de.

This position is available on a part-time
basis upon request. We welcome ap-
plications from all qualified candidates,
regardless of gender. RWTH Aachen
University and Forschungszentrum
Jülich are recognized as family-friendly
institutions and provide dual career
programs to support the recruitment of
partners. The Family Services Center,
which is part of the Equal Opportuni-
ties Office at RWTH Aachen University,
and the Equal Opportunities Bureau at
Forschungszentrum Jülich are availa-
ble to offer guidance on family matters,
including childcare and caregiving re-
sponsibilities.

We are dedicated to advancing
women’s careers and strongly encour-
age women to apply. When candi-
dates have equal qualifications, skills,
and accomplishments, preference may
be given to women, provided there are
no overriding considerations in favor of
another candidate. We also welcome
applications from qualified individuals
with disabilities or equivalent status,
and we look forward to applications
from international candidates. Creating
a diverse and inclusive working envi-
ronment shaped by equal opportuni-
ties, where everyone can realize their
potential, is important to us. Upon ac-
ceptance of the position, support will
be provided through a comprehensive
human resource development pro-
gram.

For further information on joint applica-
tions, please visit https://go.fzj.de/ap-
pointments.

For information on the collection of
personal data under Articles 13 and 14
of the General Data Protection Regula-
tion (GDPR), please refer to:
www.rwth-aachen.de/gdpr-infor-
mation.







The Jülich Aachen Research Alliance (JARA) is an innovative cooperation
model between RWTH Aachen University and Forschungszentrum Jülich.

RWTH Aachen University is one of Germany’s pre-eminent Universities of
Excellence and is renowned for its high-quality teaching and world-class
research. Assuming profound responsibility towards society, RWTH ad-
dresses bold scientific questions and translates its knowledge into mean-
ingful applications. In a dynamic, creative, and international environment,
RWTH develops solutions to tackle both current and future challenges.

Forschungszentrum Jülich is a magnet for outstanding scientists, tal-
ented young minds, and management professionals. As a member of the
Helmholtz Association, we address grand societal challenges and con-
duct research for a digitalized society, a climate-friendly energy system,
and a resource-efficient economy. We are passionate about excellence
and our open campus inspires collaboration between people from all
over the world. Join around 7,600 employees in one of Europe’s largest
interdisciplinary research centers and help us shape change!

Full Professor (W2)
in Translational Analysis in
Neuroimaging
at the Faculty of Medicine/Uniklinik RWTH
Aachen

and

Teamleader Digital Translational
Neuroimaging
at Forschungszentrum Jülich

We are inviting applications for the position of full professor in the area of
translational analysis in neuroimaging, to be filled as soon as possible.
This is a joint appointment with Forschungszentrum Jülich (FZJ) under
the Jülich model. At FZJ, the professorship includes responsibility for the
position of a teamleader digital translational neuroimaging.

The position is aimed at internationally renowned scientists who are ac-
tively involved in research and whose work focuses on new diagnostic
procedures and the development and application of methods in the field
of artificial intelligence, particularly in relation to brain tumors. The position
involves heading the Nuclear Medicine Brain Diagnostics working group
at the INM of the FZJ in cooperation with the Department of Nuclear Me-
dicine at the University Hospital RWTH Aachen. The field of activity is
excellent research that strengthens the research priorities and networks
of Forschungszentrum Jülich and the Medical Faculty of RWTH Aachen
University, as well as complementing the expertise of the other institutes
at Forschungszentrum Jülich and the engineering and natural science
disciplines at RWTH Aachen University.

The willingness to engage in interdisciplinary and scientific cooperation
with national and international partners, the relevant institute areas at the
FZJ, the institutes of the Faculty of Medicine and the clinics of the RWTH
Aachen University Hospital is required, as is cooperation with the Helm-
holtz Institute of Biomedical Engineering and the engineering and natural
science disciplines of RWTH Aachen University. In addition, participation
in the research priorities of the faculty as well as in one or more of the
associated research networks (e.g. SFB TRR 219, SFB 1382, KFO 344,
KFO 5011, GRK 2375, GRK 2415, GRK 2610, PAK 961, CIOABCD, JARA,
IZKF AACHEN) is one of the requirements. With regard to the focus of
the INM, especially with regard to the programs of the POF (Program- Oriented Funding), there is a special scientific potential in the cooperation
with the INM institute divisions in the following areas: molecular/PET ima-
ging including the development and evaluation of new radiotracers using
preclinical and clinical imaging (INM-2, INM-4, INM-5), the application
and further development of modern imaging-based Data analysis techni-
ques, including AI and "big data" evaluations (INM-1, INM-2, INM-4, INM-
7), as well as the elucidation of the molecular basis of function, dysfunc-
tion, variability and resilience of the brain (INM-1, INM-2, INM-3). Commit-
ted participation in the teaching of the courses of study of the Faculty of
Medicine or in the engineering and natural sciences courses of other fa-
culties in the amount of 2 SWS is also expected.

Requirements include a university degree, a doctoral degree, and addi-
tional research experience, for example, demonstrated through a habilita-
tion (post-doctoral lecturing qualification) or equivalent accomplishments
as a university researcher, junior professor, or in a research position at a
university, research institution, industry, administration, or other societal
setting. Furthermore, good teaching skills are expected. The application
should include the usual supporting documents: CV, certificates, list of
publications, teaching experience, brief summary of previous research
activities, including details of third-party funding, and a research proposal
for the position advertised.