Research Associate for Teaching Support - Machine Learning & Numerics (m/f/d)

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

Zusammenfassung

A prestigious university in Germany is seeking a Research Assistant for a project focused on PDE and Machine Learning. The role involves research tasks, mentoring, and some teaching duties in a collaborative environment. Candidates should possess a PhD in Applied Mathematics or Machine Learning and have strong skills in Numerical Analysis and programming with Python and MATLAB. Competitive salary follows the German TV-L (A13/E13) scale. The position is in Erlangen, with applications due by January 7, 2026.

Leistungen

Regular salary increases following public service pay agreements

30 days of vacation per year

Pension scheme and benefits

Thorough onboarding process

Family-friendly environment with childcare options

Flexible working hours

Professional development opportunities

Qualifikationen

• PhD in Applied Mathematics or Machine Learning.
• High level of expertise in Control and/or Machine Learning.
• Proven experience in Partial Differential Equations and Numerical Analysis.
• Strong computational skills in Python and MATLAB.
• Ability to work independently and in a team environment.
• Fluency in English.

Aufgaben

• Conduct research in the PDE and Machine Learning field.
• Assist with Chair activities and mentoring.
• Take on some teaching duties.

Kenntnisse

Control and/or Machine Learning

Partial Differential Equations

Numerical Analysis

Python

MATLAB

Excellent 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