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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty VII - Insti­tute of Tech­no­logy and Man­age­ment / Innov­a­tion Eco­nom­ics

Research Assist­ant - 0.75 work­ing-time - salary grade E13 TV-L Ber­liner Hoch­schu­len

under the reserve that funds are gran­ted

Work­ing field:

  • Par­ti­cip­a­tion in the BMBF-fun­ded pro­ject "Peer Innov­a­tion: Sus­tain­able House­hold Innov­a­tion in Col­lab­or­at­ive Net­works"
  • Invest­ig­a­tion of innov­a­tion pro­cesses in online-based user com­munit­ies using net­no­graphic research approaches
  • Research and devel­op­ment of met­rics for meas­ur­ing house­hold innov­a­tion
  • Data col­lec­tion using web scrap­ing
  • Devel­op­ment of a soft­ware lib­rary for the empir­ical col­lec­tion of suit­able indic­at­ors
  • Present­a­tion of res­ults at national and inter­na­tional con­fer­ences and in sci­entific pub­lic­a­tions

Require­ments:

  • Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in busi­ness admin­is­tra­tion, eco­nom­ics, indus­trial engin­eer­ing or com­par­able fields of study
  • Know­ledge in the field of innov­a­tion eco­nom­ics, prefer­ably also from the area of innov­a­tion com­munit­ies
  • Exper­i­ence in the applic­a­tion of rel­ev­ant meth­ods of empir­ical eco­nomic research
  • Good know­ledge of com­mon stat­ist­ical soft­ware (e.g. Stata, R or Python)
  • Strong pro­gram­ming skills (e.g. Python, Java, SQL), espe­cially in the area of web / web scrap­ing (Python, HTML, XML, CSS, Javas­cript)
  • Interest in applied research;Good verbal and writ­ten com­mu­nic­a­tion skills (Ger­man, Eng­lish)
  • Exper­i­ence in the present­a­tion of research res­ults at sci­entific con­fer­ences desir­able
  • Exper­i­ence with regard to the pub­lic­a­tion of sci­entific art­icles in inter­na­tional, peer-reviewed journ­als desir­able
  • Abil­ity to work in a team

How to ap­ply:

Please send your applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments (com­bined in a single pdf file, max. 5 MB) only by email to Prof. Dr. Blind via sekretariat@inno.tu-berlin.de.

By sub­mit­ting your applic­a­tion via email you con­sent to hav­ing your data elec­tron­ic­ally pro­cessed and saved. Please note that we do not provide a guar­anty for the pro­tec­tion of your per­sonal data when sub­mit­ted as unpro­tec­ted file. Please find our data pro­tec­tion notice acc. DSGVO (Gen­eral Data Pro­tec­tion Reg­u­la­tion) at the TU staff depart­ment homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.

To ensure equal oppor­tun­it­ies between women and men, applic­a­tions by women with the required qual­i­fic­a­tions are expli­citly desired. Qual­i­fied indi­vidu­als with dis­ab­il­it­ies will be favored. The TU Ber­lin val­ues the diversity of its mem­bers and is com­mit­ted to the goals of equal oppor­tun­it­ies.

Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fak­ultät VII, Insti­tut für Tech­no­lo­gie und Man­age­ment, Prof. Dr. Blind, Sekr. H 47, Straße des 17. Juni 135, 10623 Ber­lin