Research Fellow

Vor 3 Tagen

Krems an der Donau, Österreich Donau-Universität Krems Vollzeit

To strengthen our team **in the Department for Migration and Globalisation** the following position is filled:
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**Research Fellow (PhD Student) (M/F/d)**

**Your tasks**

Interdisciplinary research and research assistance in the FAiR project

Publishing research findings in international, peer-reviewed scientific journals

Engaging in international research collaboration

Pursuing and submitting a cumulative PhD dissertation in Migration Studies within three years

**Your profile**

University Master’s degree in the fields of political sciences, economics, sociology, geography, population studies or related discipline is required.

Interest and strong skills in using quantitative research methods (incl. familiarity with R or Stata) are required

Good knowledge and skills in writing scientific papers

Experience in migration-related research is desirable

Ability to work in an interdisciplinary team of social scientists; Previous experience in trans
- and disciplinary settings is desirable

Excellent English skills (min. C1) required

**Your perspective**

Part-time position (30 hours/week,) initially limited to 3 years, with a minimum salary of EUR 3.277,30 gross per month on a full-time basis (classification as a scientific project staff member according to collective agreement of universities -49 VwGr. B1)

Innovative and modern working environment at the Campus Krems

Possibility of home office and mobile working (max. 42% of working hours)

Very good opportunities for further education within the framework of our own study programs, extensive offer of workplace health promotion as well as the University Sports Institute (USI)

Danube University Krems sees a high innovation potential in the diversity of its employees and has declared diversity to be a leading principle.

**Interested?**
- Cover letter (max. two pages)
- Curriculum Vitae
- Degrees and transcript
- Two writing samples, ideally showing evidence of quantitative-statistical analyses (e.g., Master thesis, assignment, article)

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