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Young scientists

Open Positions

Professorships

The Faculty of Mathematics and Computer Science at Heidelberg University invites applications for a

Professorship for “Scientific Computing” (f/m/d)
with focus on Machine Learning in the Humanities
(Open rank: W1 with tenure track to W3 or W3)

to be filled from the winter semester 2023/2024 or later.

The professorship is located at the Interdisciplinary Center for Scientific Computing (IWR). With its assignment to the Faculty of Mathematics and Computer Science, the professorship is part of a broad partnership between IWR, the Excellence Cluster STRUCTURES and the method-oriented faculties to establish a Center for Machine Learning at Heidelberg University.

The mission of the professorship is to develop methods for applied machine learning that enable innovative projects in the humanities and social sciences. We are looking for a spirited and communicative colleague who enjoys making new connections and helping to shape the future of machine learning at IWR.

With its strength in both STEM subjects and the humanities and social sciences, our Comprehensive University offers an excellent environment for this task. Of crucial importance, however, are also our outstanding students who look forward to your innovative teaching and who will actively support the realization of your ambitious research projects.

The professorship is suitable as a qualifying position. In particular, we are looking for early-career scientists with an independent and successful post-doctoral research profile who will be appointed to a tenure-track professorship (W1) for an initial period of six years and, after a successful tenure evaluation, will be promoted to a permanent W3 professorship. Appropriately qualified scientists can also be appointed directly to a W3 position.

Prerequisites for the appointment are expertise in the development of methodologically sound machine learning methods and a demonstrated interest in or first publications on applications of machine learning in the humanities and social sciences. Evidence of methodological expertise includes publications in top international machine learning journals or conferences, including relevant application aspects such as natural language or image processing, network analysis, or game theory.

Articles 47 resp. 51, 51b of the Higher Education Law of the state Baden-Württemberg apply. A further prerequisite for appointment to a tenure-track professorship (W1) is that the period of employment as a research associate (before and after the doctorate) should not have exceeded a total of six years. Appointment to a W3 professorship requires a habilitation, a successfully evaluated junior professorship, or a comparable qualification.

Applications are solicited by January 6, 2023 to the Dean of the Faculty of Mathematics and Computer Science at Heidelberg University, Prof. Christoph Schnörr, application@mathinf.uni-heidelberg.de. Questions about orientation and institutional strategy will be answered by Prof. Fred Hamprecht, fred.hamprecht@iwr.uni-heidelberg.de. For your application, please summarize in a single pdf file the following, among others: CV, research plan, details of previous teaching experience including possible evaluations, and up to five of your papers accompanied by a paragraph each explaining why this work is of particular importance to you.

Heidelberg University stands for equal opportunities and diversity. Qualified female candidates are especially invited to apply. Child-rearing periods are taken into account in the assessment of the academic career. Persons with severe disabilities will be given preference if they are equally qualified. Information on professors, the evaluation statute and the collection of personal data is available at www.uni-heidelberg.de/en/job-market.

PhD and Postdoctoral positions

Please apply directly to the PI of interest. Judging by past experience, those applications that comment intelligently on, or suggest improvements on, recent publications of that lab have the largest chance of success.