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Open nowPosted yesterday

Werkstudent - Machine Learning & datenbasierte Prozessmodellierung (m/w/x)

zeissgroup95 open roles

Where
Oberkochen
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Your applicationOpen nowWerkstudent - Machine Learning & datenbasierte Prozessmodellierung (m/w/x)zeissgroup · Oberkochen

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on zeissgroup's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. zeissgroup postings stay open a median of 14 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted yesterday

zeissgroup median: 14 days open

The posting

Deine Rolle

Bei uns hast Du die Möglichkeit, Studium und Praxis optimal miteinander zu verbinden und aktiv an spannenden Projekten mitzuarbeiten. So sammelst Du wertvolle Erfahrungen, baust Dein Netzwerk auf und entwickelst Dich sowohl fachlich als auch persönlich weiter.

  • Analyse, Aufbereitung und Visualisierung von Daten aus Metallbearbeitungsprozessen
  • Untersuchung von Zusammenhängen zwischen Prozessgrößen und Bearbeitungsergebnis
  • Entwicklung und Vergleich von datengetriebenen und physik-informierten Modellen
  • Integration von physikalischem Prozesswissen in Machine-Learning-Ansätze
  • Anwendung und Bewertung von Methoden des Physics-Informed Machine Learning
  • Validierung der entwickelten Modelle anhand experimenteller Daten sowie die Ausarbeitung und Durchführung geeigneter Versuchsreihen auf dem Shopfloor
  • Strukturierte Dokumentation, Bewertung und Präsentation der Ergebnisse

Dein Profil

  • Studium im Bereich Maschinenbau, Produktionstechnik, Mechatronik, Physik oder einer vergleichbaren Fachrichtung
  • Interesse an CNC-Metallbearbeitung, Prozessmodellierung und datengetriebenen Methoden
  • Gute Kenntnisse in Python und im Umgang mit Daten
  • Kenntnisse in Physics-Informed Machine Learning, Scientific Machine Learning, Simulation oder physikalischer Modellierung sind ein Plus
  • Gutes analytisches Verständnis und Freude daran, physikalische und datenbasierte Betrachtungsweisen miteinander zu verbinden
  • Strukturierte und selbstständige Arbeitsweise

Klingt spannend? Dann werde Teil von #teamZEISS und gestalte mit uns die Zukunft! Reiche uns hierfür bitte Deine vollständigen Bewerbungsunterlagen (Lebenslauf, Zeugnisse etc.) ein.

Your ZEISS Recruiting Team:

Franziska Gansloser

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    The review screen in CV Rocket: how each CV was read, round by round.

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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