Oferta de trabajo de informático teórico/informática teórica en München, Kreisfreie Stadt (Alemania)

Stellenangebotsbeschreibung:

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Faculty of Mathematics, Informatics and Statistics - Institut für Informatik, Lehrstuhl für Datenbanksysteme und Data Mining, Professor Dr. Thomas Seidl

Remuneration group TV-L

Full-time / Part-time Full-time (100%)

Start date As soon as possible (limited to 3 years, with the option of extension)

Application deadline 2024-10-21

About us:

With our research activities, we drive forward concepts for Data Mining, Machine Learning, Artificial Intelligence, Data Science and Database Technology. Our goal is to enhance the analysis of large and complex datasets from various fields such as engineering, economics, humanities, life sciences, etc. Both our fundamental and applied research activities inspire and support each other. Our scientists strengthen their scientific qualification and extend their research and teaching profiles. We operate in the heart of the Munich Center for Machine Learning (MCML) (https://mcml.ai/) .

We are looking for you:

Postdoctoral Researcher in Machine Learning (m/f/x)

in Munich

Your tasks and responsibilities:

We are looking for you as a Postdoctoral Researcher in Machine Learning (m/f/d).

Your responsibilities include:

- Conducting research in one or more areas of unsupervised learning (partitioning and non-partitioning clustering, anomaly and outlier detection), machine learning with limited labeled data (active learning, semi-supervised learning), AutoML and meta-learning, stream mining and online learning, deep learning technology, explainable AI.

- Co-supervising doctoral students in these fields.

- Publishing research results in relevant peer-reviewed conference proceedings and journals.

- Contributing to the teaching activities of the department.

- Contributing to the acquisition of future research projects.

- Participating in further scientific service tasks in the department and in the MCML.

Your qualifications:

- Excellent or upcoming doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Data Science, or related research fields.

- Experience in one or more areas mentioned in the above.

- Publications in leading specialized journals or conferences in the area of Machine Learning, Data Mining, or related fields.

- Experience in supervising student research projects.

- Good communication skills, fluent in English, and ideally knowledgeable in German.

Benefits:

You will work at LMU Munich in the ecosystem of one of Germany and Europe's leading AI research regions, with access to an excellent network of researchers. With the national AI competence center, Munich Center for Machine Learning, the Munich region has a unique network of top researchers nationwide. Your workplace is centrally located at the English Garden in Munich and is easily accessible by public transportation. The salary is based on the German TV-L scale, up to remuneration group TV-L E14, depending on the fulfillment of requirements. The position is limited to 3 years, with the possibility of extension. We welcome applications from women.

Also possible in a part-time capacity.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

To apply, please send the following documents in a single PDF file (max 5 MB) to Dr. Thomas Meier at   seidl.officedbs.ifi.lmu.de (https://mailto: seidl.officedbs.ifi.lmu.de ) by October 21, 2024:

- Certificate of your doctoral degree or proof of registration for the doctoral exam.

- Academic CV with Google Scholar link.

- Outline for a research project (1-2 pages).

- Names and contact information of two references.

Where knowledge is everything.

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech. Become part of LMU Munich! (https://www.lmu.de/en/about-lmu/working-at-lmu/index.html)

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Ludwig-Maximilians-Universität München

Geschwister-Scholl-Platz 1

80539 München