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Tech­ni­sche Uni­ver­si­tät Ber­lin

Fakultät IV: Elektrotechnik und Informatik - Institut für Telekommunikationssysteme

Technische Universität Berlin is currently advertising the following position(s):

Student assistant (60 hours per month)

Tasks

  • support with research on the literature and state-of-the-art of scientific topics (including AI and society, computers and society, AI ethics, science and technology studies) – 35%
  • contributing to ideas about the design and critical analysis of algorithmic decision systems, including fairness, transparency, and accountability. - 25%
  • helping with data analysis – 10%
  • support with documenting research results (in the form of texts, web pages, visualisations, prototypes) – 20%
  • implementing prototypes of developed solutions – 10%
  • Support in preparing the content for scientific events (e.g., knowledge transfer or co-design workshops, symposia, talks) – 10%

Requirements

Required qualifications:

  • Solid skills in analysis, linear algebra, and stochastics
  • Solid skills in imperative languages (e.g., C++, Java, Python) and data-analysis soft-ware (e.g., R, Python)
  • Solid skills in data analysis and data science methods
  • A good understanding of machine learning methods
  • Good knowledge of German and/or English required; willingness to acquire the respective missing language skills.
  • Good command of MS Office (Word, Excel, PowerPoint), search engines, and LaTex

Preferred qualifications

  • Basic skills in ML frameworks (e.g., TensorFlow, PyTorch) and AI
  • Background knowledge in philosophy, ethics, political science, sociology or linguis-tics
  • Experience in the design and creation of algorithmic systems with visibly direct im-pacts on humans
  • Good command of oral and written German.
  • Interest in being part of an interdisciplinary team working for the common good
  • Knowledge and skills in web content creation
  • Critical, interdisciplinary thinking and intellectual openness/flexibility
    Interest in social science and philosophical approaches to algorithmic systems
  • Interest in ethical questions around AI and other algorithmic systems
  • Willingness to work independently and in teams

How to apply

Party responsible for specialist area / point of contact for job posting: Prof. Dr. Bettina Berendt
Period of employment: immediately for 2 years
Apply to: berendt@tu-berlin.de, evelyn.adams@tu-berlin.de

Please submit your written application including cover letter, your CV, certificate of enrollment, and where applicable, current transcript of records, to the place of employment indicated above.
In the interest of promoting equality opportunities for men and women, applications from women with suitable qualifications are particularly encouraged.

Facts

Published 25.07.2024
Category Student assistant
Location Germany, Berlin, Berlin
Area of responsibility Research, Computer sciences, Engineering, Natural Sciences, Statistics
Start date (earliest) Earliest possible
Duration 2 years
Full/Part-time 60 hours per month
Remuneration 13,69 Euro pro Std.
Working language and expected level
  • German (Very good command of the language)
Homepage https://www.tu.berlin/en/

Requirements

Field of study Agriculture, forestry, food science and veterinary medicine, Engineering, Natural sciences and mathematics, Computer science, Mathematics
Language skills
  • English (Very good command of the language)

Apply

Application deadline 17.10.2024
Reference number IV-SB-0053-2024
By email berendt@tu-berlin.de