MUDS

Analyzing gene sequences to predict diseases or developing robots that monitor their own health - research at the Munich School for Data Science (MUDS) has many facets.

Top Location for Computational Sciences

To form the Munich School for Data Science MUDS, the Technical University and the Ludwig Maximilian University in Munich as well as the Helmholtz Zentrum München (HMGU) and the German Aerospace Center (DLR) have joined forces with the Helmholtz Institute for RNA-based Infection Research (HIRI) to form an internationally visible and highly attractive research network.

MUDS also cooperates with the Leibniz Computing Centre (LRZ) and works with Roche Penzberg, Boehringer Ingelheim, Munich Leukemia Lab (MLL), and other industry partners to promote application-oriented doctoral projects in biomedicine.

MUDS Homepage

Mission

The goal of MUDS is to train the next generation of Data Scientists at the intersection of data science and different application areas through a structured PhD program.

Although the specific research questions in these domains are different, all feature both purely data-based and model-based research approaches. The training at MUDS aims to explore new ways to combine these two poles.

Research Areas

Medicine and Health
Life Sciences
Earth Observation
Robotics

Current research projects

More about the research at MUDS

Reports on MUDS

The Munich School for Data Science unites strong research partners and is thus a magnet for future data scientists in a wide variety of areas of application. Read more about MUDS here!

Burning for Research: Doctoral Studies at MUDS

The Munich School for Data Science unites strong research partners and is thus a magnet for future data scientists in a wide variety of areas of application. The MUDS industry track gets companies involved in the training of doctoral candidates. Both sides, business and science, benefit from this cooperation.

Hope for Diabetics

Diabetes is still incurable. But with the help of data science, this could soon change. At MUDS, Karin Hrovatin is researching the cells involved in insulin production. The goal is to stimulate hormone production again in the future.

Healing by Gene Therapy?

Deciphering the gene regulatory codes in our cells could improve the treatment of numerous diseases such as cancer or rheumatism in the future. MUDS doctoral researcher Laura Martens wants to contribute to this with her data science expertise.

Robotik ist eines der Themen, die in der Forschung an der MUDS groß geschrieben werden. (Photo: DLR/CC-BY 3.0)

Curriculum

Supervision: Method and domain-specific mentoring by 2 PIs, supervision by an interdisciplinary Thesis Advisory Committee once a year
Onboarding phase: elaboration of the research project and common basic data science training for all programme participants, creation of an individual, domain-specific study plan
Mandatory courses for advanced scientific training: Block course "Fundamentals of Data Science", participation in retreats, two conference participations, participation in the MUDS seminar series
Courses for personal skills training and career development (transferable skills): access for all MUDS doctoral candidates to relevant courses offered at the partner sites; in addition, it is possible to attend tailor-made trainings organised by the MUDS office
MUDS certificate confirming participation in the programme

"Research at MUDS was great: I could learn from people in other fields and got ideas that I could also apply to biology."

KARIN HROVATIN

researched with Data Science on Diabetes at MUDS

Funding and Duration of the Programme

The program extends over four years and offers continuous funding. The remuneration corresponds to the conditions for doctoral contracts of the respective partner institution and is based on the TVöD or TV-L.

Application and Further Information

There is a central recruitment round once or twice a year. The MUDS location and thus the location for all courses is Munich. The programme language is English. The programme starts every winter semester, the application phase takes place in autumn and in spring/early summer.