HGS MathComp - Where Methods Meet Applications
The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) at Heidelberg University is one of the leading graduate schools in Germany focusing on the complex topic of Scientific Computing. Located in a vibrant research environment, the school offers a structured interdisciplinary education for PhD students. The program supports students in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life-sciences, physics, and chemical engineering sciences to cultural heritage. A strong focus is put on the mathematical and computational foundations: the theoretical underpinnings and computational abstraction and conception.
HGS MathComp Principal Investigators are leading experts in their fields, working on projects that combine mathematical and computational methodology with topical research issues. Individual mentoring for PhD candidates and career development programs ensure that graduates are fully equipped to take up top positions in industry and academia.
05.10.2026
- 09.10.2026
Practicals & Schools
4EU+ Masterclass: Variational Approaches to PDE with Local and Nonlocal Interactions
Compact Courses
Speaker: Prof. Mouhamed Moustapha Fall • Prof. Hans Knüpfer • Prof. Martin Kružík
Location: Mathematikon • Seminar Room 10, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please apply on the event website • Application open until 4 September 2026 for members of Heidelberg University
Organizer: 4EU+ European University Alliance
Location: Mathematikon • Seminar Room 10, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please apply on the event website • Application open until 4 September 2026 for members of Heidelberg University
Organizer: 4EU+ European University Alliance
ECTS: 3
This block course is designed for select Master's and PhD students from the 4EU+ European University Alliance. In three specialized modules, participants will explore advanced topics in nonlinear analysis with a focus on applications in materials science and phase field models. The schedule balances theoretical depth with practical application exercises in the afternoons.
This event is organized by Flagship 3 of the 4EU+ European University Alliance. This thematic unit, dedicated to research and education with a focus on digitization, modeling, and transformation, is led by Heidelberg University and the University of Copenhagen, and administrated at the Interdisciplinary Center for Scientific Computing (IWR) and the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp).
This event is organized by Flagship 3 of the 4EU+ European University Alliance. This thematic unit, dedicated to research and education with a focus on digitization, modeling, and transformation, is led by Heidelberg University and the University of Copenhagen, and administrated at the Interdisciplinary Center for Scientific Computing (IWR) and the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp).
- Welcome Meeting & Joint Discussion: An introductory session with all three lecturers to discuss goals, and to discuss interconnections between the course topics.
- Main lectures: Analytical Aspects of Nonlocal operators, Energy-Driven Pattern Formation in Nonlocal systems, Modern Variational Methods in Continuum Mechanics of Solids
- Exercise Sessions: Afternoon sessions dedicated to problem sets with lecturer guidance.
- Concluding discussion: Can used for feedback and to share achieved goals and define further questions.
All lectures are scheduled in 90-minute blocks and include a 20-minute break at the end.
For more information, please visit the event website.
- Main lectures: Analytical Aspects of Nonlocal operators, Energy-Driven Pattern Formation in Nonlocal systems, Modern Variational Methods in Continuum Mechanics of Solids
- Exercise Sessions: Afternoon sessions dedicated to problem sets with lecturer guidance.
- Concluding discussion: Can used for feedback and to share achieved goals and define further questions.
All lectures are scheduled in 90-minute blocks and include a 20-minute break at the end.
For more information, please visit the event website.
08.10.2026
09:00 - 17:00
09:00 - 17:00
Key Competences
Time and Project Management
Compact Courses
Speaker: Dr. Jan Stamm • impulsplus
Location: Online
Registration: Please register on the course website
Organizer: Graduate Academy
Location: Online
Registration: Please register on the course website
Organizer: Graduate Academy
ECTS: 0.5
This course is part of the course program of the Graduate Academy. Please note that this course will be held in English.
The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
This workshop provides you with basic strategies and tools for an effective and efficient time and project-management. You will get specific ideas for improving your own approach towards organizing yourself and your work. The motto of the workshop is: Becoming a better, smarter, more focused time-manager is an evolution not a revolution. You already have a lot of the ideas and skills that you need. This workshop helps you to understand them in a deeper way and to commit yourself to really using them.
Contents in brief:
Successful project management (milestone plans vs. iterative incremental approach), basic strategies and tools for an efficient time and self-management (i.e. Pomodoro Technique, phases of productivity, implementation intentions), setting priorities, pragmatism and productivity).
Methods:
Input and discussion, individual and group work, coaching techniques.
Contents in brief:
Successful project management (milestone plans vs. iterative incremental approach), basic strategies and tools for an efficient time and self-management (i.e. Pomodoro Technique, phases of productivity, implementation intentions), setting priorities, pragmatism and productivity).
Methods:
Input and discussion, individual and group work, coaching techniques.
12.10.2026
- 13.10.2026
09:30 - 18:00
09:30 - 18:00
Theory & Methods
Modern Shape-Constrained and Nonparametric Statistical Learning: Theory, Methods, and Applications
Compact Courses
Speaker: Prof. Richard Samworth • University of Cambridge
Location: Karlsruhe Institute of Technology
Registration: Please register on the event website • Registration open until 13 September 2026
Organizer: STAT & MathSEE/KCDS, KIT • HGS MathComp, Heidelberg University
Location: Karlsruhe Institute of Technology
Registration: Please register on the event website • Registration open until 13 September 2026
Organizer: STAT & MathSEE/KCDS, KIT • HGS MathComp, Heidelberg University
ECTS: 1
The workshop is primarily intended for doctoral candidates and postdoctoral researchers from the KCDS Graduate School and the Heidelberg Graduate School MathComp, as well as members of the Helmholtz Association and researchers in related fields who have a strong interest in modern mathematical statistics.
Participants will gain insight into current developments in adaptive statistical methodology and their connections to broader challenges in statistical learning and modern data analysis.
The workshop and keynote lecture are organised by the Institute of Statistics (STAT) in cooperation with MathSEE / KCDS and HGS MathComp at Heidelberg University. We thank MathSEE/KCDS, HGS MathComp and HGF HIDA (Course Funding) for their generous support.
Participants will gain insight into current developments in adaptive statistical methodology and their connections to broader challenges in statistical learning and modern data analysis.
The workshop and keynote lecture are organised by the Institute of Statistics (STAT) in cooperation with MathSEE / KCDS and HGS MathComp at Heidelberg University. We thank MathSEE/KCDS, HGS MathComp and HGF HIDA (Course Funding) for their generous support.
Workshop:
Building on familiar classical methods such as linear regression, the workshop will guide participants towards recent ideas in distributional adaptivity and explore their relevance to statistical learning and modern data analysis. Participants with a good understanding of classical statistical methods and an interest in mathematical statistics are warmly encouraged to join.
Keynote "Outrigger Local Polynomial Regression":
Date & Time: 13 October 2026, 16:30
Venue: NTI Lecture Hall, KIT Campus South
The talk will revisit the classical method of local polynomial regression from a modern perspective, showing how it can be adapted to the diverse error distributions encountered in contemporary applications. Along the way, it will introduce the main methodological ideas and explore the mathematical theory underlying the new approach.
Building on familiar classical methods such as linear regression, the workshop will guide participants towards recent ideas in distributional adaptivity and explore their relevance to statistical learning and modern data analysis. Participants with a good understanding of classical statistical methods and an interest in mathematical statistics are warmly encouraged to join.
Keynote "Outrigger Local Polynomial Regression":
Date & Time: 13 October 2026, 16:30
Venue: NTI Lecture Hall, KIT Campus South
The talk will revisit the classical method of local polynomial regression from a modern perspective, showing how it can be adapted to the diverse error distributions encountered in contemporary applications. Along the way, it will introduce the main methodological ideas and explore the mathematical theory underlying the new approach.