The Campus Institute Data Science (CIDAS) at the University of Göttingen invites applications for two fellowships for outstanding young scientists to implement their own innovative research agenda in the field of Data Science and Artificial Intelligence. CIDAS promotes campus-wide interdisciplinary exchange and activities in the field of data science. The application deadline is Sunday, November 14th, 2021. In case of questions contact Alexander Ecker: ecker@cs.uni-goettingen.de *Funding Objectives:* CIDAS would like to support young scientists at an early stage of their career to develop independent projects and to create a perspective to work independently for several years at the Göttingen Campus in the field of Data Science. In particular, the collaboration between methodological, theoretical researchers and applied scientists at the Göttingen Campus and within CIDAS should be promoted. The applications should show a career perspective for the applicants and open a path to scientific independence and own third-party funding. *Who can apply:* Outstanding young scientists who are in the final phase of their PhD (last year) or early postdoc phase (maximum 2 years after the PhD) with an idea for their own research project in the field of Data Science. This can be in the fundamentals of Data Science, applied Data Science, or in the social science aspects of Data Science. This requires a planned collaboration with at least one member of CIDAS. Other collaborations with groups outside CIDAS are also possible and encouraged. If the applicant is not already a CIDAS member, he/she will be accepted into CIDAS upon approval of the application. The position can be used in particular for preparatory work for a subsequent application, e.g. for a junior research group. *Scope of funding:* Two fellowships will be awarded. The funding includes €75,000 each, which can be used, for example, to finance the applicant's own position. *Documents to be submitted:* 1. Description of the research idea (max. 5 pages), incl.: - Clearly defined content-related goals, comprehensible time schedule - Possible perspectives after the project, career perspectives, possibly plan for external funding - Planned collaboration with CIDAS members and other scientists - Innovation of the application 2. Curriculum vitae 3. Letter of recommendation from the supervisor or mentor, including a workplace (incl. infrastructure) commitment for the period to be funded Deadline: Sunday, November 14th, 2021 Application by email to: cidas@uni-goettingen.de -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Max Planck Inst. for Dynamics and Self-Organization Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272