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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.

15.04.2026
13:00 - 14:00
Upstream Lunch Break
Networking

Speaker: Dr. Valeria Heimann
Location: Mathematikon • Room 5/200, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Organizer: UPSTREAM – The Network for Women in Science, Engineering, Mathematics and Computer Science at Heidelberg University
ECTS: 0
The Upstream program is aimed at female mathematicians and scientists at all stages of their education, from pupils and students to doctoral candidates. Postdocs and professors will also find a lively network here, where the focus is on exchanging ideas about studying and careers in the STEM subjects.

The heart of Upstream is our monthly lunch break, which takes place every third Wednesday during the semester. This time we'll meet in room 5/200 ("Besprechungsraum") on the 5th floor of the Mathematikon and enjoy our lunch together. A delicious dessert is provided by us. We plan our future events, talk to guests from science or industry or simply chat about our studies.

Valeria Heimann studied mathematics and completed her PhD at Heidelberg University. She has been with d-fine since 2016, working at the interface of business expertise, processes, and IT. In various projects, she has supported companies in making complex structures clearer, more efficient, and more sustainable. Her current content focus lies in the areas of processes and Enterprise Architecture. Parallel to her work at d-fine, she studied Software Engineering with a focus on Project Management at the University of Oxford. These studies were supported and promoted by d-fine. For about half a year, she has additionally been responsible for the sales and marketing activities of a non-profit data platform sponsored by d-fine, where she drives its strategic further development.
 
15.04.2026
14:00 - 18:00
Key Competences
Research Data Management
Compact Courses

Speaker: Dr. Sebastian Zangerle, Universitätsbibliothek Heidelberg • Nina Bisheh, Universitätsrechenzentrum • Dr. Georg Schwesinger, Universitätsbibliothek Heidelberg
Location: In-Person in Heidelberg
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.

Collecting, processing and analyzing data are central activities for virtually every researcher. Topics like data sharing and data publication are becoming increasingly important. Nevertheless, many research projects lack a structured and well-organized data management. This course is meant to give a general, discipline-independent introduction into various topics central to an efficient management of research data with a special focus on questions related to data archiving and data sharing. Both are central aspects of good scientific practice. Archiving and long-term preservation of research data are prerequisites for the scrutiny of scientific results based on the analysis of this data. Data sharing on the other hand increases transparency of research results and enables possible re-usage of data for new research questions, in combination with additional data sets and in interdisciplinary contexts.

In particular, the course will cover the following topics:
- Requirements on research data handling from universities, research funders and scientific journals
- Short-term and long-term preservation: formats, metadata, documentation, standards
- Open Research data, data publication and data citations: Where? How? Why and why not?
- Creation of data management plans for research projects
 
16.04.2026
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
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.

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.