Open positions

Scientific Head of the central Cluster Facility "Scientific Transfer Center" (100%)

The Cluster of Excellence "Machine Learning: New Perspectives for Science" at the University of Tübingen offers a position as

 

Scientific Head of the central Cluster Facility "Scientific Transfer Center" (100%)

 

to be filled as soon as possible. The position is initially limited until December 31, 2025, with the option of a tenured position.

 

The Transfer Center will be a new facility of the Cluster of Excellence, intended to act as an interface between the Cluster and the various Departments of the University. The Scientific Head is going to promote the transfer of knowledge from the field of machine learning within the Cluster of Excellence to other Departments of the University and to help establishing links between scientific application domains and the research in the area of machine learning.

 

YOUR TASKS

  • To counsel scientific projects from a variety of disciplines on questions in the field of machine learning
  • To develop prototypes for standard use cases of machine learning
  • To initiate networking events between researchers in the field of machine learning and scientific application domains
  • To develop a (small number of) special courses that introduce machine learning to doctoral students and scientists from other disciplines
  • To supervise the other scientists employed at the Transfer Center

If you enjoy supporting scientific projects at the interface between machine learning and other fields of science, then this is the place for you. The position offers quite a lot of creative freedom. The opportunity to participate in publications is given, but is not the primary goal of the position. The Transfer Center will concentrate on the transfer of machine learning methods to other fields of science. Target persons are doctoral students and scientists from other disciplines. Teaching in Bachelor's or Master's degree programs and transfer to industry will explicitly not be the scope of the Transfer Center.

 

YOUR PROFILE

  • A doctorate in machine learning or data science and a background in computer science, physics, mathematics or a similar field
  • Good communication skills with different people
  • You enjoy working on machine learning problems in different contexts. You are curious about research in various scientific disciplines
  • Programming experience in the common languages (Python, R, C++)
  • Experience in project management

 

Applications with the usual documents (cover letter, curriculum vitae, copies of certificates, list of publications) are requested by November 08, 2019 in electronic form (as a single PDF, not exceeding 5 MB) to the Central Office of the Cluster of Excellence (ml‐in‐sciencespam prevention@uni‐tuebingen.de). Please also direct any questions regarding this advertisement to the Central Office.

 

The University aims to increase the percentage of women in research and teaching and therefore strongly encourages suitably qualified women scientists to apply. Qualified international scientists are explicitly invited to apply. Applications from equally qualified candidates with disabilities will be given preference.

Coordinator for the Graduate Education in the Cluster of Excellence "Machine Learning" and the MSc Program „Machine Learning“ - CLOSED

The Cluster of Excellence "Machine Learning - New Perspectives for Science" together with the Department for Computer Sciences at the University of Tübingen offer a position as

Coordinator for the Graduate Education in the Cluster of Excellence "Machine Learning - New Perspectives for Science" and the MSc Program „Machine Learning“ (m/w/d)  (TV-L E13, 100%)

to be filled as soon as possible. The position is divisible and limited until December 31, 2025.

Your tasks and activities include:

  • Organization of announcements and recruitments of MSc- and PhD-students
  • Integration of the PhD-students into the „International Max Planck Research School for Intelligent Systems“ (IMPRS-IS)
  • Support of the international students of the MSc program „Machine Learning“ and the PhD-students in the IMPRS-IS
  • Advancement of the curriculum of the „International Max Planck Research School for Intelligent Systems“ in close collaboration with the management of the IMPRS-IS
  • Updating of the module manual of the MSc program „Machine Learning“ in coordination with the Department for Computer Sciences
  • Public relations work, maintenance of the website
  • Organization of workshops and events

Requirements:

  • You have successfully completed a university degree (master or diploma), preferably in computer sciences or related fields
  • Previous work experiences in project management of scientific collaborative research programs or coordination of education and training activities will be advantageous
  • You are a person with intercultural competence, and you enjoy being around international people
  • Your command of both English and German is very strong, in speaking and writing
  • You are highly flexible, diligent and reliable, and should have a talent for organization
  • We are seeking a friendly and sociable personality, a reliable problem-solver and a flexible character who enjoys being part of a dynamic team

Our offer:
We offer a versatile job at the interface between science and administration in a research field with a very high societal relevance. You will be part of a nice, motivated team operating in an international academic environment. Further information about the Machine Learning Cluster of Excellence, the IMPRS-IS and the MSc program „Machine Learning“ can be found on the correspondingthe homepages.

 

Applications with the usual documents (letter of application, curriculum vitae, transcripts of records, copies of certificates) should be sent in electronic form (as a single PDF) to the office of the Cluster of Excellence (ml-in-sciencespam prevention@uni-tuebingen.de) by September 6, 2019.

The University aims to increase the proportion of women and therefore urges suitably qualified women to apply. Severely disabled persons with equal aptitude will be given preferential consideration. Staffing will be conducted by the central administration of the University of Tübingen.

Three PhD positions (TV-L E13, 65%)

The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen invites applications for

Three PhD positions (TV-L E13, 65%)

to be filled as soon as possible. All positions are limited to three years.

The call is aimed at young scientists with a very good university degree and an interest in interdisciplinary research projects examining applications of machine learning methods in various scientific fields.

PhD post 1: Enhancing machine learning of lexical semantics with image mining. The applicant should have a strong background in computational linguistics and / or computer vision with genuine interest in applying recent advances in machine learning to the cognition of language processing. Principal Investigators are Harald Baayen and Hendrik Lensch.

PhD post 2: Machine learning approaches for psychophysics with ordinal comparisons. The project aims at the application of machine learning methods to derive a new pipeline for psychophysics studies. A very good university degree in compouter science and/or cognitive sciences is required. Principal Investigators are Felix Wichmann und Ulrike von Luxburg.

PhD post 3: Interpretable spatial machine learning for environmental modelling. Machine learning methods will be used to map out soil processes from existing data and represent them in digital soil maps. A very good university degree in mathematics and / or computer science is required. Principal Investigators are Philipp Hennig and Thomas Scholten.

Applications with the usual documents (letter of application, curriculum vitae, copies of certificates, publication list) should be sent in electronic form (as a single PDF, at most 5 MB) to the central office of the Cluster of Excellence (ml-in-science @ uni-tuebingen. de). Please indicate which of the three vacancies you want to apply for. Further information on the Cluster of Excellence can also be found at www.ml-in-science.uni-tuebingen.de, questions can also be directed to the central office.

The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Qualified international researchers are expressly invited to apply. Severely disabled persons with equal aptitude will be given preferential consideration.

Advertisement text [PDF]

Leader of an independent research group - CLOSED

The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen offers several positions as

Leader of an independent research group (TV-L E14/E13, 100%)

to be filled as soon as possible.

The call is aimed at young scientists who have completed an excellent doctorate in relevant fields. Applications with varying degrees of research experience after the doctorate are welcome: we are going to appoint early career groups for researchers directly after the doctorate (funded by the equal opportunity funds), as well as more experienced group leaders with some years of postdoc experience.

The research groups will initially run for four years. After positive evaluation, they can be extended by up to three more years. All groups come with funding for PhD students/postdocs and independent research funding.

Successful applicants are expected to conduct internationally recognized research on methods of machine learning. In accordance with the setup of the cluster, the research focus of the groups can be in the field of machine learning itself, its application in a scientific discipline or the philosophical/ethical reflection of machine learning in science.

We expect expertise in at least one of the following research fields:

  • Probabilistic modelling, e.g. quantification of uncertainty in scientific models, Bayesian active learning for experimental design, Bayesian deep learning.
  • Interactive and interpretable machine learning in science
  • Automatic learning of models in science, e.g. by integrating prior knowledge, discovery of latent variables or automatic model critique
  • Development of machine learning methods for a specific scientific discipline, such as physics, neuroscience, medicine, bioinformatics, geosciences, linguistics, archaeology or social sciences.
  • Philosophy of science and ethics of machine learning

It is expected that the group leaders will actively participate in the Cluster of Excellence and carry out joint research projects at the interface between machine learning and an applied scientific discipline. Participation organization and implementation of the Cluster of Excellence is desirable.

The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Qualified international researchers are expressly invited to apply. Severely disabled persons with equal aptitude will be given preferential consideration.

Applications with the usual documents should be sent in electronic form (as a single PDF, at most 5 MB) to the office of the Cluster of Excellence (ml-in-science@uni-tuebingen.de) by March 10, 2019. Questions can also be directed to the office.

Administrative Assistant (E9) - CLOSED

We are hiring an administrative assistant. As the knowledge of the german language is mandatory, please check out the german job announcement.

Two Full Professors (W3) of “Machine Learning in Science” - CLOSED

The Computer Science Department of the Faculty of Science at Tübingen University
invites applications for two positions:
Full Professor (W3) of “Machine Learning in Science”

The positions are due to commence in September 2019.

The professorships are part of the new Cluster of Excellence “Machine Learning: New Perspectives for Science“. A successful candidate is expected to carry out internationally competitive research in the field of machine learning in science. The research focus can be in the area of machine learning itself or in its applications to a particular scientific application discipline. Possible research directions could be but are not limited to the following ones:

  • Probabilistic modeling, for example uncertainty quantification in scientific models, Bayesian active learning for experimental design, or Bayesian deep learning
  • Interactive and interpretable machine learning for science
  • Automated learning of scientific models, incorporating prior domain knowledge, discovery of latent variables, automatic model criticism, adversarial learning
  • Applications of machine learning methods to a specific scientific application domain such as physics, geoscience or social science.

Our goal is to cover at least two of these directions with the two professors. We expect the successful candidate to actively contribute to the cluster of excellence: by conducting collaborative research projects at the intersection between machine learning and an applied discipline, and by contributing to some of the management tasks of the cluster. For further information on this cluster of excellence please visit: http://www.ml-in-science.uni-tuebingen.de/

In terms of teaching we request the new professor to participate in our new international Master of Science program “Machine Learning”, and in the long run we expect him/her to be willing to contribute to our standard Bachelor and Master of Science programs in computer science and cognitive science. During the running time of the cluster the position comes with a significantly reduced teaching load.

Requirements for appointment are professorship status or an equivalent qualification and a record of teaching excellence.

Tübingen University is particularly interested in applications from female candidates for this position and therefore, strongly encourages women to apply. In line with its internationalization agenda, the university welcomes applications from researchers outside Germany.

Applicants with disabilities who possess equivalent qualifications will be given preferential treatment.

Applications with supporting documents (cover letter, Curriculum Vitae, list of publications and teaching experience, teaching statement, research statement (with intended collaboration), diplomas/certificates) and the completed “application form” (https://uni-tuebingen.de/en/faculties/faculty-of-science/faculty/service/appointment-procedures/) should be sent via email as a single PDF-file to: Dean of the Faculty of Science, Prof. Dr. Wolfgang Rosenstiel (careerspam prevention@mnf.uni-tuebingen.de).

The closing date for applications is January 10, 2019. Enquiries may also be directed to the Dean.

Two Full Professors (W3) of “Machine Learning in Science” job advertisement (PDF)