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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.

09.03.2026 - 11.03.2026
Practicals & Schools
Pathways into Mathematics of SPDEs: A Workshop for Young Researchers
Workshop

Speaker: Various Speakers
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please register on the event website • Registration open until 15 February 2026
ECTS: 1
Dear HGS Members,
We are happy to announce the Junior Researcher Workshop on stochastic partial differential equations in applied mathematics. The workshop is a joint intiative by doctoral students from Karlsruhe's KCDS and Heidelberg's HGS MathComp and aims to provide young researchers with a smooth introduction to this challenging yet highly relevant topic.
Registration is now open and poster contributions are very welcome!

For more information, please visit the event website.

Stochastic partial differential equations (SPDEs) are a notoriously challenging topic in combining advanced theory of both partial differential equations and stochastic processes. However, it is due to this sophisticated combination of both concepts that they emerge as a powerful and versatile tool for modelling highly diverse phenomena in the sciences. While incredibly useful to describe these systems, utilising them jointly with data and measurements to accurately determine characteristics or provide reliable predictions is still a lot of work in progress in (applied) mathematics.
A central challenge, especially for junior researchers with an interest in the field, is that there is a major gap to overcome from available lecture materials, graduate courses and books to current problems and challenges in applied mathematics for SPDEs. We aim to support doctoral students in closing this gap, growing a network of junior researchers and fostering interdisciplinary collaboration.
 
10.03.2026 ff - 11.03.2026
09:00 - 13:00
Key Competences
Introduction to 3D Visualization with Blender for Scientists
Compact Courses

Speaker: Maria Fomenko • blenderwerk & Aleksandra Stakhnova
Location: In-Person in Heidelberg
Registration: Please register on the course website
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.

Participants will learn the essential skills to create high-quality 3D visualizations for their research publications and presentations. The course will cover the fundamentals of Blender, powerful open-source software, and its application in scientific communication.

The course is structured into two 4 hours sessions:
1. Dive into Blender's interface and learn the essentials of 3D modelling
2. Get comfortable navigating the interface and expand your modelling skills
3. Give your models a realistic finish with textures, lighting, and rendering
 
13.03.2026
14:00 - 16:00
Key Competences
Open science 101: Principles, practices and challenges
Seminar

Speaker: Paola Galimberti (University of Milan, Italy) • Pascale Pauplin (Sorbonne University, France)
Location: Online
Registration: Please register on the event website
Organizer: 4EU+ European University Alliance
ECTS: not yet determined
The movement for open science is transforming the academic world. In response, our 4EU+ training programme meets the growing demand for transparency, reproducibility, and collaboration by exploring a broad range of practices, such as open peer review, FAIR and open data, open software, and citizen science. In 2026, we invite you to explore the basics of open science in our introductory webinars followed by six specialized workshops between March and June.

ECTS subject to overall workload completed within the workshop series (please provide certificates after the program).

What is open science, and why does it matter for today’s research ecosystem? Does making research outputs openly available contribute to greater transparency, reproducibility and scientific integrity? This lecture will provide an introduction to the principles, values and key components of open science. Participants will explore its historical development, its objectives, and the challenges it faces, particularly in relation to research assessment and academic incentives.