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

Rese­arch Assist­ant - salary grade E13 TV-L Ber­liner Hoch­schu­len

part-time employ­ment may be pos­sible

Work­ing field:

Integ­ra­tion and ana­lysis of dif­fer­ent data sources (weather fore­casts, his­tor­ical data, dis­trib­uted sensors) will allow to pre­dict the expec­ted load in water/wastewa­ter sys­tems increas­ingly accur­ately. Con­sequently, the goal becomes to optim­ize the oper­a­tion of these crit­ical infra­struc­tures ener­get­ic­ally and also increase the resi­li­ency towards extreme situ­ations such as heavy rain­fall events based on load pre­dic­tions. In Ber­lin, for example, there are sev­eral com­bined sewer over­flows (CSOs) each year, in which wastewa­ter has to be relieved untreated into Ber­lin's sur­face waters. As part of the OPTIMA pro­ject, we will exam­ine jointly with pro­ject part­ners in Ber­lin / Branden­burg as well as the Ber­liner Wasser­be­triebe how CSOs and the energy con­sump­tion of the pump­ing sys­tems can be reduced, when avail­able data sources are integ­rated to pre­dict loads. Fur­ther­more, we will take the require­ments of the crit­ical infra­struc­ture (e.g. reli­ab­il­ity, avail­ab­il­ity, and response times) into account.
Our focus within this pro­ject lies on the devel­op­ment of the over­all sys­tem archi­tec­ture, on the design and imple­ment­a­tion of the scal­able data ana­lysis, and the exam­in­a­tion of the applic­ab­il­ity of the sys­tem on the scale of a large city like Ber­lin. We expect to empir­ic­ally test and eval­u­ate the use of recent research res­ults and cur­rent tech­no­lo­gies for this pro­ject as well as imple­ment adapt­a­tions and optim­iz­a­tions of exist­ing sys­tems as neces­sary. The res­ults are to be pub­lished.

Require­ments:

  • Suc­cess­fully com­pleted sci­entific uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in Com­puter Sci­ence, spe­cial­iz­a­tion in dis­trib­uted sys­tems, Cloud Com­put­ing, and scal­able data ana­lyt­ics / machine learn­ing
  • Cooper­a­tion in a national pro­ject con­sor­tium, interest in prac­tical soft­ware devel­op­ment and oper­a­tion of a large-scale sys­tem archi­tec­ture, as well as enthu­si­asm to estab­lish recent research res­ults in prac­tice
  • Solid pro­gram­ming skills in Java/Scala and Python
  • Excel­lent com­mand of Eng­lish and Ger­man
  • Prefer­able: Good know­ledge of dis­trib­uted data­flow sys­tems like Flink and Spark, scal­able data stores like Cas­sandra and HDFS, mes­saging sys­tems like Kafka and MQTT, as well as admin­is­tra­tion of data­bases and Linux serv­ers

How to ap­ply:

Please send your applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments only by email to Prof. Dr. Kao at odej.kao@tu-berlin.de.

By sub­mit­ting your applic­a­tion via email you con­sent to hav­ing your data elec­tron­ic­ally pro­cessed and saved. Please note that we do not provide a guar­anty for the pro­tec­tion of your per­sonal data when sub­mit­ted as unpro­tec­ted file. Please find our data pro­tec­tion notice acc. DSGVO (Gen­eral Data Pro­tec­tion Reg­u­la­tion) at the TU staff depart­ment homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.

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.

Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fak­ultät IV, Insti­tut für Telekom­munika­tionssysteme, FG Ver­teilte Systeme und Betriebssysteme, Prof. Dr. Odej Kao, Sekr. TEL 12-5, Ernst-Reu­ter-Platz 7, 10587 Ber­lin