Assistant Professor In Geometric Learning and Image Analysis
We have an excellent opportunity for an applied and industrially oriented
mathematician! You will be working at the forefront of Geometric Learning and
Image Analysis in the unique and inspiring Eindhoven Brainport region.
Position
Assistant Professor
Irène Curie Fellowship
No
Department(s)
Mathematics and Computer Science
FTE
1,0
Date off
27/09/2024
Reference number
V32.7676
Job description
In the Geometric Learning and Differential Geometry Group (GLDG) within the
Centre for Analysis, Scientific Computing and Applications (CASA) we invent,
apply, and build new theory and methods in geometric AI for automated medical
and industrial image analysis. The Geometric Deep learning methods developed
in GLDG bridge the gap in image processing between machine learning and
traditional PDE/geometry-based methods.
The focus in the group GLDG supported by VICI project “Geometric Learning for
Image Analysis” (R. Duits) is on PDE-based equivariant neural networks
aiming for impact on industry and society. This requires close interplay
between mathematical theory and practical requirements. With implementation
running parallel to theoretical development, we ensure that our geometric
learning is both well-founded in profound new mathematics and relevant for
practical applications.
Key objectives of the position are:
Develop high-performance implementations of geometric learning methods for
modern hardware while connecting advanced scientific computing to
applied and geometric analysis.
Establish connections to industry via joint projects on
geometric learning and image processing , while investing in in-house
implementations to keep our research relevant for industry.
Target and steer the direction of the theory by available hardware and
performance. Advanced geometrical, topological theory and algorithms need
to be developed.
Be active in funding acquisition and set up a clear, personal, and visible
research line that fits the overall activities and strategy in the GLDG
group and CASA cluster.
Open the black box of deep learning via geometric interpretability and
explainable AI. Promising results are growing and allow for clear analysis
by experts, but intuitive visualization and interpretation tools to
industrial/health tech partners raise challenges to be tackled.
Design new equivariant PDE-based neural networks . Current methods in
GLDG reveal drastic network reduction, and training data-reduction with
better performances. Pursue a research direction in explainable and
transferable geometric AI. Analysis of topological transitions, semi-ring
co-domain extensions, Lie group domain extensions require new models.
Connect to the GLDG group, the CASA cluster, and the M&CS department at
TU/e, and act in cross-divisional institutes such as EAISI , to
guarantee a vibrant, well-embedded and well-funded research group with
better network design and image analysis applications.
Job requirements
Motivated researcher, with a PhD in Applied Mathematics, Data Science,
Electrical Engineering or Computational Physics, or a related field, with
both an applied computational and a geometric interest.
Strong knowledge of state-of-the-art computational methods in both
geometric learning, differential geometry and geometric image processing.
Excellent programming and software engineering skills both for developing
CPU code (Python/Mathematica, C++), GPU (CUDA/Triton) code and other
modern parallel hardware.
Ability to conduct high quality academic research, reflected in
demonstratable outputs.
Ability to teach, demonstrated by experience or assistance in teaching.
Informed vision on teaching and learning within your own discipline.
Motivated to teach, contribute to teaching processes, and to develop
excellent teaching skills.
Strong cooperation skills and ability to work in an interdisciplinary
team.
Effective communication and leadership skills, including coaching and
mentoring of students and staff, leading a project or chairing a group.
Excellent (written and verbal) proficiency in English.
Conditions of employment
A meaningful job in a dynamic and ambitious university, in an
interdisciplinary setting and within an international network. You will work
on a beautiful, green campus within walking distance of the central train
station. In addition, we offer you:
An 18-month contract as Assistant Professor which can become permanent
after 12 months on the same employment level upon successful evaluation.
The opportunity to focus your career on education, research or impact. You
can develop your personal ambitions and objections within the strategic
objectives of the university.
Salary in accordance with the Collective Labour Agreement for Dutch
Universities, scale 11 (min. €4492, max. €6148 gross per month).
A year-end bonus of 8.3% and annual vacation pay of 8%.
A dedicated mentoring program to help you get to know the university and
the Dutch (research) environment.
High-quality training programs for academic leadership and teaching.
An excellent technical infrastructure, on-campus children's day care and
sports facilities.
Partially paid parental leave and an allowance for commuting, working from
home and internet costs.
A Staff Immigration Team is available for international candidates, as are
a tax compensation scheme (the 30% facility) and partner career support.
Information and application
About us
Eindhoven University of Technology is an internationally top-ranking
university in the Netherlands that combines scientific curiosity with a hands-
on attitude. Our spirit of collaboration translates into an open culture and a
top-five position in collaborating with advanced industries. Fundamental
knowledge enables us to design solutions for the highly complex problems of
today and tomorrow.
Curious to hear more about what it's like as a professor at TU/e? Please view
the video.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager dr.ir. Remco Duits, Associate Professor and
Head of the Geometric Learning and Differential Geometry Group,
[email protected], or +31 624983108.
Visit our website for more information about the application process or the
conditions of employment. You can also contact Hella Ploegmakers, Senior
Recruiter, [email protected] or +31 643559625.
Are you inspired and would like to know more about working at TU/e? Please
visit our career page.
Application
We invite you to submit a complete application.
The application should include a:
Cover letter in which you describe your motivation and qualifications for
the position.
Curriculum vitae, including a list of your publications and the contact
information of three references.
Description of your scientific interests and plans (1-2 pages).
Statement of your teaching goals and experience (1-2 pages).
We look forward to receiving your application and will screen it as soon as
possible. The vacancy will remain open until the position is filled.