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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.

22.10.2026 - 23.10.2026
09:00 - 17:00
Key Competences
Mastering the Unexpected in Remote Talks, Meetings and Discussions
Compact Courses

Speaker: Guido Molina • Impulsplus
Location: In-Person in Heidelberg
Registration: Please register on the event website
Organizer: Graduate Academy
ECTS: 1
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 activity-based workshop, led by a theatre professional uses improvisation and free-speaking exercises as concrete tools to prepare speakers for unexpected situations that occur during online presentations, meetings and discussions. Practical techniques help participants to step out of their comfort zone and to develop their authority, focus anxiety, prepare for blackouts, technical challenges and to become more self-reliant. The training is tailored to individual participant questions and uses role-play to investigate proposed scenarios and to train coping strategies, which can be applied in virtual and non-virtual situations.

Description
The first day of the seminar begins with verbal and non-verbal communication training, connecting breathing to thinking, in order to relieve panic in stressful situations. This is followed by training with improvisation exercises to help presenters maintain their focus and composure and to cultivate quick thinking and problem solving, followed by free-speaking exercises to train quick thinking, staying focused, engaging an audience in a topic, and maintaining authority. Strategies are then discussed and practiced to deal with disruptions during the impromptu talks.

In the second session, participants will explore various challenges in meetings as well as in online Q&A sessions. Techniques are trained to handle awkward situations. Role-play situations are tailored, practiced, and discussed in the roles as presenters, meeting facilitators and Q&A moderators.

Contents in brief
- Breathing and focusing exercises for stress management
- Free-Speaking Exercises
- Improvisation Techniques for quick thinking and problem solving
- Role-play disruptions during talks, meetings, and discussions
- Tailored coaching and individual feedback

Methods
- Individual, pair and group working exercises
- Breakout room activities
- Voice and non-verbal communication coaching
- Improvisation techniques
- Role-play exercises and discussion
 
23.10.2026
13:30
Theory & Methods
STRUCTURES Jour Fixe: From Turing patterns to black holes: a simulation-based inference of binary black hole populations using the Correlation Integral Likelihood
Talk

Speaker: Alexey Kazarnikov • Stefano Rinaldi • Heidelberg University
Location: Physikalisches Institut • Großer Hörsaal • Philisophenweg 12, 69120 Heidelberg
Registration: No registration required
Organizer: STRUCTURES Cluster of Excellence
ECTS: not yet determined
The STRUCTURES Jour Fixe is the central meeting point of STRUCTURES. Its talks cover the entire scientific breadth of STRUCTURES and aim at all members.

For more information, please visit the event website.
 
29.10.2026
10:00 - 13:00
Key Competences
Maintaining Integrity when Using Generative AI in Your Research
Compact Courses

Speaker: Dr. Katrin Frisch
Location: Online
Registration: Please register on the event 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.

Since the release of ChatGPT and other generative AI tools, research institutions as well as various stakeholders such as research funders and publishers have been discussing how the use of AI in research should be dealt with from the perspective of research integrity. While a consensus on some matters was quickly reached, other issues are still being debated. This has led to a rather heterogeneous policy landscape, which will likely remain in flux due to the fast-paced nature of AI. Additionally, a recent survey by Wiley found that nearly two-thirds of respondents indicated that the lack of clear guidelines prevents them from using generative AI to the extent that they would like. Many German universities still lack AI guidelines specifically for PhD students and existing ones often remain superficial.
In this workshop, participants will learn to navigate the existing AI policy landscape so they can use genAI responsibly and in line with research integrity. The workshop has a practical bend covering how to disclose different use cases of AI in publications and what to keep in mind when it comes to working with AI in research, for example regarding peer review or using AI-generated images. Participants are welcome to bring questions and examples from their own research projects.