HomePOSTDOCPostdoctoral Researcher Position in Machine Learning in Munich

Postdoctoral Researcher Position in Machine Learning in Munich

Join us in Munich as a Postdoctoral Researcher in Machine Learning! Lead projects, publish groundbreaking research, and grow your career in one of Europe's top AI research hubs. Apply now!

Are you a passionate researcher in the field of Machine Learning? Do you dream of leading your own project group, contributing to groundbreaking research, and working in one of Europe’s top AI research regions? If so, then this Postdoctoral Researcher position in Munich might be your golden opportunity. In this article, iLovePhD explores the responsibilities, qualifications, and benefits of this exciting role.

Responsibilities of Postdoctoral Researcher Position in Machine Learning

As a Postdoctoral Researcher in Machine Learning in Munich, your role will be dynamic and intellectually stimulating. Here are some of the key responsibilities you’ll undertake:

  1. Leadership: You’ll lead a project group, guiding and supervising doctoral candidates and students. The focus areas include Machine Learning with limited labeled data, Active Learning, Semi-supervised Learning, Transfer Learning, and Clustering. This is your chance to mentor the next generation of AI enthusiasts.
  2. Research Excellence: Your work will involve publishing research results in peer-reviewed articles at renowned conferences and specialized journals. You’ll be at the forefront of advancing the field of Machine Learning.
  3. Future Projects: You’ll play a crucial role in acquiring future research projects. Your innovative ideas and expertise will help shape the direction of AI research.
  4. Scientific Qualification: Pursue your own scientific qualification, fostering your growth as a researcher and contributing to the academic community.
  5. Teaching and Development: Contribute to the teaching activities of the department while developing your own teaching profile. Sharing knowledge is integral to academic progress.
  6. Scientific Tasks: Engage in other scientific tasks within the department, including decisions on infrastructure design. Your insights will help shape the research environment.

Qualifications for Postdoctoral Researcher Position in Machine Learning

To excel in this role, you should possess the following qualifications:

  1. Doctoral Degree: An excellent or upcoming doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Data Science, or related fields is essential.
  2. Publication Record: You should have a track record of publications in leading specialized journals or conferences in Machine Learning, Data Mining, or related fields. Your research should demonstrate your expertise.
  3. Communication Skills: Good communication skills are crucial, and fluency in English is required. Knowledge of German is a plus.
  4. Supervision Experience: Experience in supervising student theses and final projects is beneficial. Guiding future talent is a part of this role.

Benefits of Postdoctoral Researcher Position in Machine Learning

Working as a Postdoctoral Researcher in Machine Learning at LMU Munich offers numerous advantages:

  1. Research Excellence: You’ll be part of one of Germany and Europe’s leading AI research regions, with access to an outstanding network of researchers. The Munich Center for Machine Learning is a national AI competence center, that provides a unique network of top researchers.
  2. Central Location: Your workplace is centrally located at the English Garden in Munich, easily accessible by public transportation.
  3. Competitive Salary: Your salary will be based on the German TV-L scale, up to remuneration group TV-L E14, depending on your qualifications. The position is initially limited to three years, with the possibility of extension.
  4. Inclusivity: The department welcomes applications from women and individuals with disabilities. Equally qualified candidates will receive preferential treatment.

How to Apply:

To seize this exciting opportunity, follow these steps:

  1. Assemble the following documents in a single PDF file (max 5 MB):
    • Certificate of your doctoral degree or proof of registration for the doctoral exam.
    • Academic CV with a link to your Google Scholar profile.
    • An outline for a research project (1-2 pages).
    • Names and contact information of two references.
  2. Email your application to Dr. Thomas Meier at [email protected] by September 30, 2023.

Don’t miss this chance to advance your career in Machine Learning, contribute to cutting-edge research, and be a part of Munich’s thriving AI community. Apply today and unlock a world of possibilities!

SourceLMU
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