MCML is dedicated to advancing the field of Artificial Intelligence and Machine Learning and is committed to supporting the research and development of early-career researchers in this field. We offer a wide range of funding programs to help junoir scientists deepen their research and take the next step in their careers. These funding programs provide financial support for research projects, including PhD positions, Junior Research Groups, and Fellowships, to help researchers pursue their work and advance their careers at the MCML. The programs are designed to help junoir researchers gain the skills and knowledge they need to become leading scientists in the field of AI and ML and to provide them with the resources they need to complete their research.
If you are an early-career researcher interested in working in the field of AI and ML, the MCML may be the perfect place for you to start or further develop your research career.
We are seeking talented and motivated junior researchers to lead their own research groups and contribute to the advancement of AI and machine learning.
As a junior research group leader at our center, you will have the opportunity to define and lead your own research agenda, supervise a team of two PhD Students funded by MCML, and collaborate with leading experts in the field. You will also have access to state-of-the-art resources and support to help you achieve your research goals.
We are looking for candidates with a strong track record of research in AI or related fields, and a passion for driving innovation and making a positive impact on society. You should have a PhD or equivalent degree in a relevant discipline, and experience in leading or contributing to research projects. We look forward to receiving your application and learning more about your research interests and goals.
Currently we are looking for Junior Research Group Leaders in Machine Learning (m/f/x).
We regularly call for applications for PhD positions. These positions are open to highly qualified candidates interested in a career in machine learning research and pursuing a PhD degree. Positions include full stipend support and the opportunity to work in a dynamic and international research environment.
Interested applicants should have an excellent master’s or graduate degree in computer science, mathematics, or a related field. We look forward to hearing from you and reviewing your application.
The application deadline for 2023 PhD students has now passed, no new applications will be accepted. Our next call for PhD positions is expected to start in autumn 2023.
The Thomas Bayes Fellowship offers outstanding researchers the opportunity to work on machine learning and artificial intelligence in our challenging and exciting environment. The fellowship is awarded as an interim professorship (fixed term for three years). Fellows will deepen their skills in the field of machine learning at MCML; they will also advance their own research, expand their teaching experience, and have the opportunity to share their knowledge and skills in the field of machine learning with others. The affiliation with MCML offers not only high visibility, but also integration into an excellent machine learning and data science network and ecosystem in Munich, which includes some of the best researchers in the area.
MCML seeks to appoint highly qualified junior academics to these professorships and, therefore, especially encourages early-career scholars to apply. Prerequisites for this position are a doctoral degree or a comparable qualification. Prospective candidates should also have an excellent record in research and teaching.
The application deadline for the Thomas Bayes Fellowship has now passed, no new applications will be accepted.
Data Science for Social Good (DSSG), is an initiative founded at the University of Chicago in 2013. Its mission is to create and sustain programs, solutions and communities that enhance the use of data science and AI for social good. From the very beginning, the flagship project of DSSG has been its annual fellowship program, where aspiring data scientists can sharpen their skills in ML and Data Science while working on real problems for the social good.
Through the collaboration of the department of statistics at LMU Munich and the Munich Center for Machine Learning we are now able to launch our own version of the DSSG fellowship program, here in Munich.
The application deadline for the Data Science For Social Good Fellowship has now passed, no new applications will be accepted.