An­ge­bot 209 von 522 vom 02.08.2018, 06:52


Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ultät IV - Insti­tute of Tele­com­mu­nic­a­tion Sys­tems / Com­plex and Dis­trib­uted IT Sys­tems (CIT)

Research Assist­ant - salary grade E13 TV-L Ber­liner Hoch­schu­len

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

In cooper­a­tion with insti­tu­tions based in Ham­burg, Kiel and Ber­lin the Water­Grid­Sense pro­ject will research and develop a new sensor and data ana­lyt­ics plat­form for use in sewage sys­tems of lar­ger cit­ies. The plat­form will allow to mon­itor, under­stand, and pre­dict the state of the sewage sys­tem for optim­iz­ing the oper­a­tion and main­ten­ance of the sewage sys­tem. The goals are to reduce costs and to increase the resi­li­ence of sewage infra­struc­tures – espe­cially in light of chan­ging user beha­vior, increas­ing demands, and cli­mate change (keywords: leak­age detec­tion, pre­dict­ive main­ten­ance, load pre­dic­tion).

Work­ing field:

Our focus within this pro­ject will lie on the devel­op­ment of the over­all sys­tem archi­tec­ture, in design­ing and imple­ment­ing a scal­able data ana­lyt­ics plat­form, and in imple­ment­ing anom­aly detec­tion algorithms using machine learn­ing. There­fore, we intend to use meth­ods and tech­no­logy developed for scal­able par­al­lel data ana­lyt­ics and machine learn­ing to be able to con­tinu­ously pro­cess data streams from sensors deployed in, for example, up to 120,000 drains and the entire canal sys­tem of a city like Ham­burg or Ber­lin. We expect to empir­ic­ally test and val­id­ate the usage of cur­rent tech­no­lo­gies and recent research res­ults for this as well as adapt­a­tions and optim­iz­a­tions of exist­ing sys­tems to be neces­sary. The res­ults are to be pub­lished.

PhD thesis pre­par­a­tion is pos­sible.


Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence; spe­cial­iz­a­tion in dis­trib­uted sys­tems, par­al­lel data ana­lyt­ics, and/or scal­able machine learn­ing. Cooper­a­tion in a pro­ject con­sor­tium, interest in sys­tem devel­op­ment and oper­a­tion of a large-scale soft­ware archi­tec­ture, as well as enthu­si­asm to estab­lish recent research res­ults in prac­tice. Very good know­ledge of the pro­gram­ming lan­guages Java and Scala, the dis­trib­uted data­flow sys­tems like Flink and Spark, scal­able data­bases like Cas­sandra and Mon­goDB, mes­saging sys­tems like Kafka and Rab­bitMQ, as well as admin­is­tra­tion fo data­bases and linux serv­ers. Exper­i­ence and know­ledge in the area of pro­ject man­age­ment and agile devel­op­ment meth­od­o­lo­gies. Exper­i­ence in research. Fur­ther require­ments: team spirit and excel­lent com­mand of Eng­lish.

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, Prof. Dr. Odej Kao, Sekr. EN 59, Einsteinufer 17, 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. 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.