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- Aufgaben: Join a cutting-edge research team to explore Control for Deep and Federated Learning.
- Arbeitgeber: Be part of FAU Erlangen-Nürnberg, a leader in mathematics and interdisciplinary research.
- Mitarbeitervorteile: Enjoy a competitive salary, flexible working conditions, and a supportive, inclusive environment.
- Warum dieser Job: Contribute to groundbreaking research while collaborating with international experts in a vibrant academic culture.
- Gewünschte Qualifikationen: Master's in Applied Mathematics or related fields; strong programming skills in R, Python, or Matlab required.
- Andere Informationen: Applications are open until March 25, 2025, with interviews conducted on a rolling basis.
Das voraussichtliche Gehalt liegt zwischen 45000 - 60000 € pro Jahr.
The Chair for Dynamics, Control, Machine Learning, and Numerics Alexander von Humboldt Professorship (FAU DCN-AvH) led by Professor Enrique Zuazua, invites applications for two (02) PhD doctoral research positions at the ERC CoDeFeL, Control for Deep and Federated Learning project.
Context of the ERC-CoDeFeL project
CoDeFeL seeks to make a breakthrough that takes the mathematical foundations of Machine Learning beyond their present frontiers, through the systematic development of new ideas and methods inspired by control theory.
Ihre Aufgaben
Position Details
- Duration: Initially limited to up to three (3) years, with the possibility of extension.
- Starting Date: To be adapted to the availability of selected candidates (preferably before June 2025).
- Salary: Competitive international annual gross salary following the German TV-L (E 13) scale.
- Location: The positions are based in Erlangen, Bavaria, Germany.
See more details at:
Ihr Profil
Notwendige Qualifikationen
- Master in Applied Mathematics, Control, Machine Learning and/or related areas
- Advanced knowledge in scientific programming (R, Python, Matlab)
- Ability to work independently and collaboratively in an international and interdisciplinary team
- Excellent knowledge of English (oral/written) is compulsory to the job profile and tasks development
APPLICATION PROCEDURE
Application deadline
Interested candidates are invited to submit their applications (single PDF) via email to dcn-jobs(at)fau.de by March 25, 2025.
Applicants Should Provide The Following Information
- Cover Letter:
Brief description of the topic and results of your Master thesis
Brief description of the last couple of years at university and the main courses you attended
Explanation of how your expertise relates to the research topics of the ERC CoDeFeL.
Description of your expectations from the postdoctoral position in our research group.
- Curriculum Vitae:
Including a list of publications and preprints (if any).
Your transcript(s) of records (if any).
- Reference Information: List of 2-3 professors (with contact information) who can provide a reference letter. Explain your connection to them. No recommendation letters are required at this stage.
Please send a single PDF file (titled FAU_ERCphd2025_candidateNameLastname.pdf) with the required information via email to dcn-jobs(at)fau.de with the requested information.
- Subject of your email: FAU ERC CoDeFeL PhD 2025
Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for an interview, either in person or online.
Institutional Values
FAU Erlangen-Nürnberg is committed to international standards, transparent performance agreements, equal opportunity, inclusivity, support for under-represented groups, an inclusive culture, and diversity. The university also prioritizes the needs of dual career couples and is recognized as a family-friendly employer.
Read More About CoDeFeL Project
The CoDeFeL project (ERC-2022-ADG) has received funding from the European Unions Horizon ERC Grants programme under grant agreement No. 101096251. The views and opinions expressed are solely those of the author(s) and do not necessarily reflect those of the European Research Council Executive Agency (ERCEA), the European Union or the granting authority who cannot be held responsible for them.
Bewerbungsschluss: 25.03.2025
Titel ERC CoDeFeL (March 2025) PhD positions in Control and Machine Learning
Einstellungstermin 01.06.2025
Ort Department Mathematik
Cauerstr. 11
91058 Erlangen
Entgelt: TV-L E
Arbeitszeit: Vollzeit
Wochenarbeitszeit: Nach Vereinbarung
Befristung: Befristete Anstellung
Kontakt: Lehrstuhl für Dynamics, Control, Machine Learning and Numerics (Alexander von Humboldt-Professur)
- E-Mail:
#J-18808-Ljbffr
ERC CoDeFeL (March 2025) PhD positions in Control and Machine Learning Arbeitgeber: FAU Erlangen-Nürnberg
Kontaktperson:
FAU Erlangen-Nürnberg HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: ERC CoDeFeL (March 2025) PhD positions in Control and Machine Learning
✨Tip Number 1
Familiarize yourself with the latest research in control theory and machine learning. This will not only help you understand the CoDeFeL project better but also allow you to discuss relevant topics during your interview.
✨Tip Number 2
Engage with the academic community by attending conferences or workshops related to control and machine learning. Networking with professionals in the field can provide valuable insights and potentially lead to recommendations.
✨Tip Number 3
Prepare to demonstrate your programming skills in R, Python, or Matlab during the interview. Consider working on a small project or contributing to an open-source project to showcase your abilities.
✨Tip Number 4
Research the faculty members involved in the CoDeFeL project and their previous work. Tailoring your discussion points to align with their research interests can make a strong impression during your interview.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: ERC CoDeFeL (March 2025) PhD positions in Control and Machine Learning
Tipps für deine Bewerbung 🫡
Understand the Project: Familiarize yourself with the ERC CoDeFeL project and its objectives. This will help you tailor your application to demonstrate how your background aligns with their goals in Control and Machine Learning.
Craft a Compelling Cover Letter: In your cover letter, clearly outline your Master thesis topic and results, your relevant coursework, and how your expertise connects to the research topics of the ERC CoDeFeL. Be specific about your expectations from the position.
Prepare Your CV: Ensure your CV is up-to-date and includes a list of publications and preprints if applicable. Highlight your scientific programming skills in R, Python, or Matlab, as well as any relevant experience in interdisciplinary teams.
Follow Submission Guidelines: Compile all required documents into a single PDF titled 'FAU_ERCphd2025_candidateNameLastname.pdf'. Make sure to include your reference information and send it via email to dcn-jobs(at)fau.de with the correct subject line.
Wie du dich auf ein Vorstellungsgespräch bei FAU Erlangen-Nürnberg vorbereitest
✨Understand the Project
Make sure you have a solid grasp of the ERC CoDeFeL project and its objectives. Familiarize yourself with the intersection of control theory and machine learning, as this will be crucial in demonstrating your fit for the role.
✨Showcase Your Technical Skills
Be prepared to discuss your advanced knowledge in scientific programming languages like R, Python, and Matlab. Highlight specific projects or experiences where you've applied these skills, especially in relation to control and machine learning.
✨Prepare for Collaborative Discussion
Since the position requires working in an international and interdisciplinary team, think of examples from your past experiences that showcase your ability to collaborate effectively. Be ready to discuss how you handle teamwork and communication in diverse settings.
✨Articulate Your Research Interests
Clearly explain how your expertise aligns with the research topics of the ERC CoDeFeL project. Discuss your expectations from the postdoctoral position and how you envision contributing to the research group's goals.
