Student Assistants

Universität Bern

Bern

In loco

CHF 28.000 - 41.000

Part-time

5 giorni fa
Candidati tra i primi

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Descrizione del lavoro

University of Bern seeks a motivated student assistant in the Institute of Sociology to support teaching and research activities. You will prepare course materials, organise courses, and assist with data preparation and analysis.

You will also write short research briefs for a broader audience and support the social media team. The role is ideal for bachelor or master students with an interest in data science and programming.

Competenze

  • Data science interest or experience with data is desirable.
  • Experience with R, Stata or Python is an asset.
  • Excellent English language skills are essential for teamwork.

Mansioni

  • Teaching support: preparing course materials and organising courses.
  • Research support: programming online surveys and data preparation/analysis.
  • Preparing and analysing data and writing concise briefs for broader audiences.
  • Contributing to Institute of Sociology social media activities.
  • Other administrative tasks as needed.

Conoscenze

Data science interest
R
Stata
Python
Organisational skills
Multilingual
English proficiency

Formazione

Bachelor or Master student in Business, Economics and Social Sciences

Descrizione del lavoro

UniBE is interconnected.

With us, you're part of an international community and benefit from interdisciplinary collaboration.

Your tasks
  • Teaching support, e.g. preparing course materials and organising courses
  • Research support, e.g. programming online surveys
  • Preparing and analysing data
  • Writing short research briefs that summarise our findings for a broader audience
  • Contributing to the social media team of the Institute of Sociology
  • Other administrative tasks
Your profile
  • You are a bachelor or master student at the Faculty of Business, Economics and Social Sciences (Wirtschafts- und Sozialwissenschaftliche Fakultät). Bachelor students are enrolled in the second or third year of their programme; master students still have at least 60 ECTS to complete before the end of their degree.
  • You have skills in, or a strong interest in, data science and working with data. Experience with R, Stata or Python is an asset.
  • You speak several languages. Very good English is essential, as it is the main working language of our team; further languages are a plus.
  • You have a talent for organisation and can keep track of several tasks at the same time.
  • You work precisely and reliably and bring a high degree of self-motivation.
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