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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Tele­com­mu­nic­a­tion Sys­tems / Chair for Open Dis­trib­uted Sys­tems

Research Assist­ant - salary grade E 13 TV-L Ber­liner Hoch­schu­len

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

Work­ing field:

Stat­ist­ical infer­ence and logic reas­on­ing are becom­ing read­ily avail­able for data pro­cessing pipelines in con­nec­ted vehicles, traffic sur­veil­lance and the Web of Things. While stat­ist­ical infer­ence uses learn­ing tech­niques for gen­er­at­ing or group­ing data points to classes or mod­els under sym­bolic val­ues, logic reas­on­ing addresses the manip­u­la­tion of sym­bolic val­ues inter­linked via logical axioms, e.g., know­ledge graphs. The Depart­ment of Open Dis­trib­uted Sys­tems (ODS) is ded­ic­ated in com­bin­ing these sci­entific to build dis­trib­uted pro­cessing work­flows, for example, com­bin­ing com­puter vis­ion tasks such as object detec­tion, semantic seg­ment­a­tion image/visual/video scene under­stand­ing with know­ledge graphs and logic reason­ers.
Cur­rently, we are look­ing for a sci­ent­ist to work and research on excit­ing sci­entific ques­tions around “Dis­trib­uted Stream Reas­on­ing”. The suc­cess­ful can­did­ate will con­duct research in an inter­est­ing and inspir­ing group.
The oppor­tun­ity for PhD is given.


  • Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence, applied math­em­at­ics, stat­ist­ics, or sim­ilar sub­jects with excel­lent res­ults
  • Very good lan­guage and writ­ing skills in Eng­lish
  • Good Ger­man lan­guage skills is an advant­age
  • Know­ledge and Pub­lic­a­tions in one or some of fol­low­ing areas:
1. Dis­trib­uted Data­base Sys­tems/ Graph Data­base
2. Logic Reas­on­ing (Data­log, Answer Set Pro­gram­ming)
3. (RDF/Semantic) Data Stream Pro­cessing
4. Semantic Web
5. Inter­net of Things, Robot­ics
6. Com­puter Vis­ion and Machine Learn­ing
  • Very good pro­gram­ming skills in Java or C++
  • Inter­ested in chal­len­ging sci­entific issues and motiv­a­tion for inde­pend­ent and focused research.

How to ap­ply:

Please send your applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments (in par­tic­u­lar cover let­ter, an aca­demic CV and the names of two ref­er­ences) with the sub­ject “job applic­a­tion” prefer­ably by email to or in writ­ing to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fak­ultät IV, Insti­tut für Telekom­munika­tionssysteme, FG Open Dis­trib­uted Sys­tems, Prof. Dr. Hauswirth, Sekr. HFT 3, Ein­steinufer 25, 10587 Ber­lin.

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.

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