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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Com­mer­cial Inform­a­tion Tech­no­logy and Quant­it­at­ive Meth­ods / Inform­a­tion Sys­tems

Rese­arch Assist­ant - salary grade E13 TV-L Ber­liner Hoch­schu­len

under the reserve that funds are gran­ted - part-time employ­ment may be pos­sible

Work­ing field:

Research and devel­op­ment in the BMJV-fun­ded pro­ject "DaSKITA" (data sov­er­eignty through AI-based trans­par­ency and inform­a­tion) at the Depart­ment of Inform­a­tion Sys­tems Engin­eer­ing in inter­dis­cip­lin­ary cooper­a­tion with part­ners from research, the Inter­net industry and civil soci­ety. In par­tic­u­lar, new, AI-based approaches and tech­no­lo­gies for the cost-effi­cient exer­cise of trans­par­ency and inform­a­tion rights (e.g. accord­ing to the GDPR), for eas­ing the recep­tion of respect­ive inform­a­tion and for its machine-read­able pro­vi­sion by ser­vice pro­viders are to be explored and developed. This is inten­ded to give con­sumers a higher degree of informed­ness and self-determ­in­a­tion in the con­text of data-based ser­vices. Tasks include the research, pro­to­typ­ical imple­ment­a­tion and prac­tical eval­u­ation of cor­res­pond­ing tech­no­lo­gies. The oppor­tun­ity for a doc­tor­ate is given.

Require­ments:

Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in Com­puter Sci­ence, Inform­a­tion Sys­tems Engin­eer­ing/Man­age­ment, or Indus­trial Engin­eer­ing with a spe­cial­isa­tion in Com­puter Sci­ence; very good pro­gram­ming (and soft­ware devel­op­ment) skills; excel­lent com­mu­nic­a­tion skills, also across dis­cip­lines; high level of com­mit­ment; first-class know­ledge of Ger­man and very good know­ledge of Eng­lish, both writ­ten and spoken.
Also essen­tial: Pas­sion for new tech­no­lo­gies and techno-legal inter­re­la­tions; exper­i­ence in the con­crete design of dis­trib­uted, web-based sys­tems and in the tech­nical imple­ment­a­tion of (data pro­tec­tion) legal require­ments ("Pri­vacy Engin­eer­ing"), „can-do atti­tude“ and self-reli­ance. Exper­i­ence in the applic­a­tion of AI-based pro­ced­ures in sys­tem devel­op­ment and in-depth know­ledge of data pro­tec­tion law are an advant­age; exper­i­ence in third-party fun­ded pro­jects is desir­able.

How to ap­ply:

Please send your applic­a­tion with the ref­er­ence num­ber and the appro­pri­ate doc­u­ments by email (in a single pdf file, max 5 MB) to anita.hummel@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 IV, Insti­tut für Wirtschaftsin­form­atik und Quant­it­at­ive Meth­oden, FG Wirtschaftsin­form­atik, Prof. Dr. Tai, Sekr. EN 14, Ein­steinufer 17, 10587 Ber­lin