Student Assistant Position (m/f/d, approx. 40h/month)

University of Tuebingen
February 12, 2023
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Offerd Salary:Negotiation
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Working Time:Negotigation
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13.01.2023

Student Assistant Position (m/f/d, approx. 40h/month) Tübingen AI Center

Application deadline: 12.02.2023

The Machine Learning Cloud at the University of Tübingen provides the computing power for research in the field of artificial intelligence, particularly machine learning. This position will allow the candidate to gain knowledge and experience in the field of high-performance computing systems, tools and services, which is a rapidly developing area facilitating digital innovation in many industrial sectors, science and public administration. The Cloud Team is looking for a motivated

Student Assistant (m/f/d, approx. 40h/month) for Software Development

for a duration of 9 months with the possibility of extension.

Responsibilities

  • Help the ML Cloud team in the system administration of the ML Cloud, including configuring and maintaining the Open Science as a Service Platform portal
  • Develop certain parts of the ML Cloud internal Portal for scientists to be able to collaborate and work through web based interface
  • Develop and maintain internal technical and user documentation, operating procedures and „best practice” guides“.
  • Qualifications

  • Pursuing a Bachelor's or Master's degree in Software Engineering, Computer Science, Information Technology or a related subject
  • Programming experience preferably with JavaScript/TypeScript, PHP, HTML5/CSS and ideally experience with web frameworks such Django, Flask
  • Understanding and experience with databases such as (mariadb, mongodb, postgresql)
  • Understanding of REST APIs
  • If these descriptions appeal to you, please contact Dr. Kristina Kapanova (kristina.kapanovaspam [email protected]) and attach your CV and transcripts to apply. Equally qualified applicants with disabilities will be given preference in the hiring process. The university is committed to equal opportunities and diversity.

    Deadline for submission is 12th of February 2023.

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