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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tut of Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence / Neural Inform­a­tion Pro­cessing

Research assist­ant - PostDoc - Salary grade E13 TV-L Ber­liner Hoch­schu­len

part-time employ­ment may be pos­sible

Work­ing field:

  • the suc­cess­ful can­did­ate will join a DFG fun­ded pro­ject whose goal is to develop a math­em­at­ical frame­work for optimal sequen­tial decision mak­ing in the face of eco­nomic and per­cep­tual uncer­tainty
  • the pro­ject aims at the Exten­sion of Par­tially Observ­able Markov Decision Pro­cesses to incor­por­ate risk, at an assess­ment of the exist­ence and unique­ness of optimal risk-sens­it­ive policies, ant at the devel­op­ment of com­pu­ta­tion­ally tract­able algorithms for solv­ing the cor­res­pond­ing optim­iz­a­tion prob­lems


  • Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) and Pro­mo­tion in math­em­at­ics (stochastics), com­puter sci­ence (machine learn­ing), or sim­ilar fields
  • can­did­ates with research exper­i­ence in optim­iz­a­tion and con­trol will be pre­ferred

How to ap­ply:

Please send your writ­ten applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Neuronale Informationsverarbeitung, Prof. Dr. Obermayer, Sekr. MAR 5-6, Marchstraße 23, 10587 Berlin or by e-mail to

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.

Please send cop­ies only. Ori­gi­nal docu­ments will not be retur­ned.