Akros AG

Zurich

Software Development Engineer in Test (SDET)

  • 09 July 2026
  • 100%
  • Zurich

Job summary

Join inspire AG in Zurich as a Research Intern focusing on machine learning! This fixed-term position offers hands-on experience in a dynamic work environment.

Tasks

  • Collaborate with industry partners on innovative projects.
  • Develop learning-based control techniques for robotics efficiency.
  • Assist in data collection, calibration, and policy training.

Skills

  • Candidates should have a background in industrial AI/ML.
  • Strong analytical and problem-solving skills required.
  • Familiarity with robotics and automation technologies preferred.

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About the job

<section aria-labelledby="job-title" class="description"><h1 class="description__title" id="job-title">Research Intern – Machine learning and digital twins</h1><h4 aria-label="100%, Zurich, fixed-term"> 100%, Zurich, fixed-term </h4><div class="description__print_section do_not_display_in_print"><a aria-label="Drucken" class="subscription__link__wrapper" href="javascript:window.print()"><span aria-hidden="true" class="material-icons left">print</span> Drucken  </a></div><div aria-label="Project background" class="paragraph description__paragraph" role="region" tabindex="0"><p>inspire AG is the leading Swiss competence centre for product innovation and advanced manufacturing.<br/>As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology<br/>from research to Swiss machine, electrical and metal industries.</p><p>The research group Control and Automation at inspire AG offers the following position in collaboration<br/>with an industry partner.</p> </div><h2 class="h2 description__expectation" id="project-background">Project background</h2><div aria-labelledby="project-background" class="paragraph description__paragraph" role="region" tabindex="0"><p>Our research group works on increasing the efficiency of robotics systems in real-world deployment<br/>by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency.<br/>For this, we develop novel learning-based control and policy optimization techniques.</p><p>Wes knowledge in industrial AI/ML.  </div><span class="onlyPrint"><h2 class="h2 application__title">Curious? So are we.</h2><div class="paragraph description__paragraph"><p>Please send your full application to our HR departement hr@inspire:</p><ul><li>Cover letter</li><li>Transcripts</li><li>CV</li><li>References </li></ul><p>For technical questions, please contact Dr. Efe Balta (E-Mail schreiben) and Dr. Muhammad<br/>Zakwan (E-Mail schreiben). </p><p>Please also visit our websites www.inspire.ch and https://control.ee.ethz.ch.</p><p>By submitting application documents, you accept the provisions of the privacy policy of inspire.<br/>Applications received by August 31, 2026 will receive full attention.</p><p>Please note that we only accept applications submitted via (E-Mail schreiben). Applications sent<br/>to other emails or postal services will not be considered.</p> </div></span></section>

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