An­ge­bot 321 von 479 vom 25.07.2018, 21:55


Chair of Infor­ma­tion Sys­tems Rese­arch (Frei­burg Uni­ver­sity)

Our rese­arch has an empi­ri­cal focus with app­li­ca­ti­ons in Finance, Geo­spa­tial ana­lytics, Energy infor­ma­tics, Smart cities and sustaina­bi­lity, Logi­s­tics, and Health­care ana­lytics.

We focus on app­ly­ing data ana­lytics, such as machine learning approa­ches, to big data pro­blems

PhD / Post­doc in Inform­a­tion Sys­tems Rese­arch (Wirt­schaftsin­form­atik) at the Uni­ver­sity of Frei­burg

Work­ing field:



Can­did­ates (m. / f.) should be inter­ested in one (or more) of the fol­low­ing
  • Machine learn­ing / arti­fi­cial intel­li­gence
  • Data min­ing
  • Text min­ing / nat­ural lan­guage pro­ces­sing
  • Busi­ness intel­li­gence / busi­ness ana­lyt­ics
  • Optim­iz­a­tion / oper­a­tions rese­arch
  • Eco­no­met­rics, time series ana­lysis
  • Bay­e­sian stat­ist­ics
  • Inform­a­tion sys­tems
  • Elec­tro­nic mar­kets

We do not focus on can­did­ates from a spe­cific study area. Cur­rently our team mem­bers have very diverse back­grounds, such as Com­puter Sci­ence, Eco­nom­ics, Man­age­ment, Phys­ics, Math­em­at­ics, and Engin­eer­ing. Can­did­ates should be eager to solve ana­lyt­ical tasks, ide­ally, com­bined with inter­me­di­ate pro­gram­ming skills (e.g. in R, Python).

What we of­fer:

The remu­ner­a­tion is based on the Col­lect­ive Agree­ment for the Pub­lic Ser­vice Sec­tor (TV-L, E13).

How to ap­ply:

Inter­ested can­did­ates are asked to send a CV with recent gra­des to
Post­doc can­did­ates should also include a list of pub­lic­a­tions. Please do not hes­it­ate to con­tact our sec­ret­ary Carla Li-Sai ( in case of ques­tions. Fur­ther inform­a­tion can also be found on our web­site.

The Uni­ver­sity of Frei­burg is pur­su­ing a gen­der equal­ity policy. We would there­fore par­tic­u­larly encour­age qual­i­fied women to apply. If qual­i­fied, han­di­cap­ped app­lic­ants will be pre­fer­red.