Professorship for Advanced Machine Learning

3 Jun 2024
Job Information

Organisation/Company

Universität Leipzig

Department

Faculty of Mathematics and Computer Science

Research Field

Communication sciences

Researcher Profile

Established Researcher (R3)

Country

Germany

Application Deadline

28 Jun 2024 - 23:59 (Europe/Berlin)

Type of Contract

Permanent

Job Status

Full-time

Hours Per Week

40

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

Yes

Offer Description

At Leipzig University, Faculty of Mathematics and Computer Science in cooperation with ScaDS.AI, seeks to fill the following professorship at the earliest opportunity

Professorship for Advanced Machine Learning

Depending on the applicant's qualifications, the position will be filled as a W2 or W3 professorship.

Scientific environment 

ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) Dresden/Leipzig is one of the permanently established national centers for AI (Artificial Intelligence) at Leipzig University and the TU Dresden funded by the federal government and the Free State of Saxony. The Leipzig part will be established as a central institution of Leipzig University and will bring together more than 200 employees in the medium term. The ScaDS.AI research on AI and data science and their applications is carried out in a graduate school. The professorship offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure for AI.

Requirements

The faculty and ScaDS.AI are looking for an internationally recognized scientist in the field of Machine Learning (ML). Of particular interest is proven research expertise in a subset of the following topics:

• Generative AI methods
• Distributed or federated learning methods
• Reinforcement learning
• Neurosymbolic learning methods for combining knowledge management and machine learning
• ML for language understanding
• Fair and explainable AI.

It is assumed that the future post holder has a proven track record of high-class international publications on machine learning and successful acquisition of third-party research funding. A high willingness to work in ScaDS.AI and interdisciplinary cooperation, especially with application partners from different disciplines, is expected. In addition, the candidate must have teaching experience in computer science and data science.

Successful application for a W3 professorship requires above and beyond this great success in acquiring third-party funding, international embedding in a research environment and far-reaching interdisciplinary cooperation as well as extensive teaching experience in computer science and data science.

Tasks

The professorship to be filled should work on current research topics in machine learning and represent these in research and teaching. The holder of the position should participate in ScaDS.AI and contribute to its further profiling and research excellence. The tasks of the professorship include teaching in the degree programs of the Institute of Computer Science, in particular in the Master's program in Data Science. The languages of instruction are English and German (basic courses). Other tasks include leadership and management of employees, promotion of young scientists, women and social diversity, knowledge and technology transfer, initiatives for internationalization, gender and diversity-competent and sustainability-oriented action, as well as committee and commission work.

Requirements

Research Field

Computer science

Education Level

PhD or equivalent

Internal Application form(s) needed
AT Advanced Machine Learning_engl._27.03.24_korr._RK.pdf
English
(156.5 KB - PDF)
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Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Computer Science

Country

Germany

State/Province

Saxony

City

Leipzig

Postal Code

04109

Street

Augustusplatz 10

Where to apply

Website

https://uni-leipzig.de/berufungen

Contact

State/Province

Sachsen

City

Leipzig

Website

https://www.uni-leipzig.de/

Street

Augustusplatz 10

Postal Code

04109

E-Mail

[email protected]

Phone

+493419732124

STATUS: EXPIRED