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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Tele­com­mu­nic­a­tion Sys­tems/ Com­plex and Dis­trib­uted IT Sys­tems

Rese­arch Assist­ant - salary grade E 13 TV-L Ber­liner Hoch­schu­len - 1st qual­i­fic­a­tion period (PhD)

part-time employ­ment may be pos­sible

Work­ing field:

  • Rese­arch and teach­ing tasks in the rese­arch group Com­plex and Dis­trib­uted Sys­tems: machine learn­ing, time series ana­lysis, pre­dic­tion mod­els, Deep Learn­ing, Big Data Ana­lyt­ics
  • Con­cep­tion and super­vi­sion of tutori­als for the lec­tures Sys­tem Pro­gram­ming, Dis­trib­uted Sys­tems, Cloud Com­put­ing, sem­inars and pro­jects in the area of dis­trib­uted sys­tems

Require­ments:

  • Suc­cess­fully com­ple­ted uni­ver­sity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence
  • Major in Cloud Com­put­ing, machine learn­ing, time series ana­lysis, Deep Learn­ing, Big Data Ana­lyt­ics
  • Very good know­ledge of Linux/Unix intern­als
  • Exper­i­ence with Big Data Engi­nes and machine learn­ing
  • Excel­lent Eng­lish in speak­ing and writ­ing
Desir­able:
  • Exper­i­ence in teach­ing on uni­ver­sity Level
  • clus­ter admin­is­tra­tion

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 Telekommunikationssysteme, FG Komplexe und Verteilte IT-Systeme (CIT), Prof. Dr. Kao, Sekr. EN 59, Einsteinufer 17, 10587 Berlin or by e-mail to odej.kao@tu-berlin.de.

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.