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- Aufgaben: Engage in teaching and research on mathematical foundations of machine learning and signal processing.
- Arbeitgeber: Join the prestigious Ludwig-Maximilians-Universität München, a leader in academic excellence.
- Mitarbeitervorteile: Enjoy a civil servant position with a competitive salary and potential for extension.
- Warum dieser Job: Contribute to cutting-edge research while shaping the next generation of mathematicians.
- Gewünschte Qualifikationen: Must have an M.Sc. and Ph.D. in Mathematics or related fields with strong analytical skills.
- Andere Informationen: Women and disabled candidates are encouraged to apply; application deadline is April 7, 2024.
Das voraussichtliche Gehalt liegt zwischen 50000 - 70000 € pro Jahr.
Classification: Mathematical Foundations of Machine Learning
Postdoc Position (\“akademischer Rat\“) at Chair of Mathematics of Information Processing, LMU Munich
We are looking for qualified candidates for a postdoctoral position in the general area of mathematical foundations of machine learning and/or signal processing. The position is limited for 3 years with a possible extension for another 3 years. Employment will be as civil servant (\“akademischer Rat\“, salary scale A13) provided that the legal requirements are met.
Teaching Tasks:
The teaching load is 5 semester hours per week. Applicants should contribute to an appropriate extent in the general teaching, supervision, and counselling tasks of the Department of Mathematics. In particular, applicants should assist lectures in the area of mathematics of machine learning and signal and image processing by giving tutorials and helping with the organization.
Research Tasks:
Candidates are expected to be active in the field of mathematics of information processing (machine learning, signal- and image processing) and have proven expertise in this area. He/she should strengthen existing research activities in this area, particularly in the mathematical foundations of machine learning.
Requirements:
You should have an outstanding M.Sc. degree in Mathematics (Master) and a completed doctoral degree in Mathematics or a related field. The legal requirements for employment as civil servant (\“Beamter\“) should be fulfilled. Profound expertise in at least one of the following areas is expected: mathematical foundations of machine learning, mathematical foundations of signal and image processing, optimization, probability theory, applied harmonic analysis. We are looking for candidates with very good analytical skills, a very high level of commitment, very good English language skills, the ability to work in a team, and an independent way of working.
The University of Munich strives to increase the proportion of women in its academic staff and strongly encourages qualified women to apply. Severely disabled persons with essentially equal qualifications are given preference.
Contact:
We look forward to receiving your application by e-mail (one PDF, maximum 5MB) with the usual documents (cover letter, CV, copies of certificates and diplomas) by April 7, 2024 to Eva Lechner ( ), LS Mathematics of Information Processing, Prof. Dr. Holger Rauhut, Ludwig-Maximilians-Universität München, Department of Mathematics. If you have any questions regarding this call for applications, please contact Prof. Dr. Holger Rauhut ( ).
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Postdoc Ludwig-Maximilians-Universität München Munich, Germany A13 6 March 2024 Arbeitgeber: Euro Math Soc
Kontaktperson:
Euro Math Soc HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Postdoc Ludwig-Maximilians-Universität München Munich, Germany A13 6 March 2024
✨Tip Number 1
Make sure to network with current faculty members and researchers in the field of mathematical foundations of machine learning. Attend seminars or workshops at LMU Munich to establish connections and express your interest in the position.
✨Tip Number 2
Familiarize yourself with the ongoing research projects at the Chair of Mathematics of Information Processing. This will help you tailor your discussions during interviews and demonstrate your genuine interest in contributing to their work.
✨Tip Number 3
Prepare to discuss your teaching philosophy and experiences, as teaching is a significant part of this role. Think about how you can engage students in complex topics like signal processing and machine learning.
✨Tip Number 4
Highlight any collaborative projects or interdisciplinary work you've done in your previous roles. This will showcase your ability to work in a team and contribute to the department's research and teaching efforts.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoc Ludwig-Maximilians-Universität München Munich, Germany A13 6 March 2024
Tipps für deine Bewerbung 🫡
Understand the Position: Make sure you thoroughly understand the requirements and responsibilities of the postdoc position. Familiarize yourself with the mathematical foundations of machine learning and signal processing, as well as the teaching and research tasks expected.
Craft a Strong Cover Letter: Your cover letter should clearly outline your qualifications, research interests, and how they align with the position. Highlight your expertise in the relevant areas and express your enthusiasm for contributing to the Department of Mathematics at LMU Munich.
Prepare Your CV: Ensure your CV is up-to-date and tailored to the position. Include your educational background, research experience, publications, and any teaching experience. Emphasize your analytical skills and ability to work independently and in a team.
Compile Required Documents: Gather all necessary documents, including copies of your certificates and diplomas. Make sure everything is compiled into one PDF file, not exceeding 5MB, as specified in the job description.
Wie du dich auf ein Vorstellungsgespräch bei Euro Math Soc vorbereitest
✨Showcase Your Research Expertise
Be prepared to discuss your previous research in detail, especially in the areas of mathematical foundations of machine learning and signal processing. Highlight any publications or projects that demonstrate your expertise and how they relate to the position.
✨Prepare for Teaching Scenarios
Since the role involves teaching, think about how you would approach explaining complex mathematical concepts. Prepare examples of tutorials or lectures you've conducted in the past, and be ready to discuss your teaching philosophy.
✨Demonstrate Teamwork Skills
The position requires collaboration with other researchers and students. Be ready to share experiences where you successfully worked in a team, emphasizing your ability to communicate and contribute effectively.
✨Understand the University’s Goals
Familiarize yourself with LMU Munich's mission and values, particularly their commitment to increasing the proportion of women in academia. Be prepared to discuss how you can contribute to this goal and support diversity within the department.
