Research Associate for Developing Computational Codes - Python & MATLAB (m/f/d)

FAU Erlangen-Nürnberg; Erlangen; Vor Ort; EUR 50.000 - 60.000; Vollzeit

Zusammenfassung

A leading academic institution in Erlangen is seeking a Research Assistant for a two-year position focused on PDE and Machine Learning. Responsibilities include conducting research, mentoring, and collaborating with faculty. Candidates should possess a PhD in Applied Mathematics or Machine Learning, and strong programming skills in Python and MATLAB. The role offers a competitive salary, a family-friendly environment, and flexible working hours. Applications are due by January 7, 2026, via email.

Leistungen

30 days of vacation

Flexible working hours

Professional development opportunities

Family-friendly environment

Comprehensive onboarding process

Qualifikationen

• PhD in a relevant field required.
• Experience in numerical analysis and machine learning needed.
• Ability to collaborate in an interdisciplinary team.

Aufgaben

• Conduct research in PDE and Machine Learning.
• Mentor undergraduates and assist in teaching duties.
• Collaborate with the Chair on related activities.

Kenntnisse

High level/experience in Control

Proven experience in Partial Differential Equations

Computational skills (Python and MATLAB)

Ability to work independently

Excellent knowledge of English

Ausbildung

PhD in Applied Mathematics or Machine Learning

Jobbeschreibung

Position Overview

Research assistant position in “PDE and Machine Learning”

Responsibilities

• Duration: Initially limited to up to two (2) years, with the possibility of extension.
• Starting Date: To be adapted to the availability of selected candidates (preferably on January 15, 2026).
• Salary: Competitive international annual gross salary following the German TV-L (A13 / E 13) scale.
• Location: The position is based in Erlangen, Bavaria, Germany.

While the primary focus is on research, collaboration with the Chair activity and mentoring is required. The position is funded by the state of Bavaria and comes with some teaching duties.

Profile

Desirable Background Knowledge

• PhD in Applied Mathematics or Machine Learning
• High level/experience in Control and/or Machine Learning
• Proven experience in Partial Differential Equations and Numerical Analysis
• Computational skills to develop computational codes (Python and MATLAB)
• Ability to work independently and collaboratively in an international and interdisciplinary team
• Excellent knowledge of English (oral and written)

Benefits

• Regelmäßiger Stufenanstieg und steigendes Gehalt nach Tarifvertrag für den öffentlichen Dienst der Länder (TV-L) beziehungsweise Besoldung nach BayBesG sowie zusätzliche Jahressonderzahlung
• Urlaubsanspruch von 30 Tagen pro Kalenderjahr bei fünf Arbeitstagen pro Woche, mit zusätzlichen freien Tagen am 24. und 31. Dezember
• Betriebliche Altersversorgung sowie vermögenswirksame Leistungen
• Thorough onboarding process with a dedicated team
• Joint team activities
• Place of work within comfortable walking distance of public transport
• Family-friendly environment with childcare options, also during school holidays
• Flexible working hours
• A wide range of training courses and opportunities for professional development

Application Procedure

Application Deadline: Interested candidates are invited to submit their applications via email to dcn-jobs[at]fau.de by January 7, 2026.

Applicants Should Provide The Following Information

• Cover Letter: Brief description of the topic and results of your PhD thesis.
• Brief description of your previous postdoctoral activities (if applicable).
• Description of your expectations for the PhD/postdoctoral position in our research group.
• Curriculum Vitae: Including a list of publications and preprintsli>
• 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.
• Tentative Research Proposal: One-page proposal aligned with the ERC CoDeFeL project research scope.

Please send a single PDF file (titled FAU_ERCassis2026_candidateNameLastname.pdf) with the required information via email to dcn-jobs[at]fau.de with the following information:

• Subject of Email: FAU Assistant 2026

Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for an interview, either in person or online.

This call at FAU DCN-AvH’s website: dcn.nat.fau.eu

EntgeltTV-L E 13, A 13ArbeitszeitVollzeit