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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.

10.11.2025 - 11.11.2025
Key Competences
Writing Scientific Papers in English
Compact Courses

Speaker: Dr. Vera Leberecht (Deutscher Hochschulverband)
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.

In the academic world, clear, concise, and well-written texts play an important role in convincing journal editors and conference organisers to accept a paper for review and publication, or to invite a researcher to present at a conference. This workshop provides PhD students with strategies to write short texts efficiently and effectively. It enables participants to organise ideas and structure texts effectively, to present their own and other researchers‘ findings and opinions appropriately, and to use correct terminology and vocabulary.

During the workshop, participants work with their own texts as well as with examples from their own disciplines that they bring along and consider to be particularly well written. They discuss features of good scientific papers and are equipped to use adequate language in different genres and for different audiences. In addition, they receive peer feedback on their own drafts. All exercises empower them to produce clearer, and more correct, concise, and reader-oriented papers.

The two-day workshop covers the following topics:
• taking inventory: participants‘ strengths and challenges in writing scientific papers in English
• a brief introduction to research and writing processes
• using text analysis to become a better writer
• reporting findings, ideas, and opinions professionally and adequately
• making yourself understood: principles of clear and concise writing
• structuring ideas, organising texts: transitions, connectives, & co.
• working effectively with co-authors and constructive text feedback
• useful online and offline resources

(After the workshop, participants have the opportunity to sign up for an individual writing coaching, or text feedback session. In this session, they can ask for individual feedback on an extract of their written work, or get deeper into issues from the workshop in a one-on-one setting.)
 
10.11.2025 - 14.11.2025
Practicals & Schools
Workshop on Geometry, Topology, and Machine Learning (GTML 2025) [Leipzig]
Workshop

Speaker: Various Speakers
Location: Max Planck Institute for Mathematics in the Sciences • Leipzig, Germany
Registration: Please register on the event website • Application open until May 31, 2025
Organizer: Max Planck Institute for Mathematics in the Sciences • STRUCTURES Cluster of Excellence
ECTS: 2
The Geometry and Topology in Machine Learning (GTML) workshop brings together two rapidly evolving fields central to modern machine learning. Geometry and topology provide essential methods for describing data structure and frameworks for analyzing, unifying, and generalizing machine learning techniques to new settings.

The workshop will feature 10 keynote talks and 20 presentations by leading experts. By merging the Workshop on Geometry in Machine Learning (GaML) and the Workshop on Topological Methods in Data Analysis (TMDA), GTML creates a platform to foster collaboration and explore the interplay between geometry, topology, and machine learning.

Topics of interest include, but are not limited to, the following:

- Mathematical foundations of machine learning
- Geometric machine learning (e.g., geometric deep learning, graph neural networks, geometry processing)
- Topological machine learning (e.g., topological deep learning, topological data analysis (TDA), shape analysis)
- Applications of geometry and topology in machine learning (e.g., in life sciences and complex systems)

For more information, please visit the event website.
 
12.11.2025 - 13.11.2025
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: 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 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