Doctoral student / Research Associate (m/f/d) in the field of Data Science and Social Media Analysis
Justus-Liebig-Universität Gießen / Justus Liebig University Giessen (JLU)
Founded in 1607, Justus Liebig University Giessen (JLU) is a research university rich in tradition. Inspired by curiosity about the unknown, we enable around 28,000 students and 5,700 employees to advance science for society. Join us in breaking new ground and writing success stories - your own and those of our university.
Support us as of now in full-time as a
Doctoral student / Research Associate (m/f/d) in the field of Data Science & Social Media Analysis
The position is part of the externally funded project "Community-Based Fact-Checking on Social Media" and is to be filled on a fixed-term basis in accordance with § 2 WissZeitVG and § 72 HHG with the opportunity for own academic qualification at the Chair of Data Science and Digitization at the Faculty of Business and Economics. The salary is in accordance with the collective labour agreement of the State of Hessen (E 13 TV-H).
As long as the maximum permissible duration of a fixed-term contract is not exceeded, you will be employed for a period of 3 years.
Your tasks at a glance
Carry out scientific research in the above-mentioned research project (esp. quantitative analysis of social media data)
Publish your research results in international outlets
Present your research results at international conferences
The provision of academic services (including the processing of a research project financed by third party funds on a temporary basis) also serves the purpose of academic qualification.
Your qualifications and competences
Completed Master's or equivalent university degree in one of the following areas (or a related area): Data Science, Information Systems, Business / Economics, Computer Science, Computational Social Science
Strong interest in research in the field of Data Science and (quantitative) social media analysis
Methodological competence in the field of Data Science (e.g., data preprocessing, statistical modeling, text mining, machine learning)
Intrinsic motivation and able to work self-responsibly
Existing programming experience (e.g., in R, Python)
Very good command of the English language
Our offer to you
Excellent conditions for further scientific qualification
Work in a motivated, cooperative, and interdisciplinary team
Opportunity to attend international conferences around the world
A varied job with flexible working hours
Free use of local public transport (LandesTicket Hessen)
More than 100 training seminars, workshops, and e-learning opportunities per year for personal development, as well as a wide range of health and sports activities
Remuneration according to TV-H, company pension scheme, child allowance and special payments
Good compatibility of family and career (certificate "audit familiengerechte hochschule")
If you have any further questions, please do not hesitate to contact Prof. Dr. Nicolas Pröllochs by e-mail (firstname.lastname@example.org).
JLU aims to employ more women in academic research. We therefore particularly encourage female candidates to apply. JLU is regarded as a family-friendly university. Applicants with children are very welcome. Applications from disabled people of equal aptitude will be given preference.
You want to break new ground with us?
Apply via our
online formby August 16th, 2022, indicating reference number 467/02. We look forward to receiving your application.
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