An­ge­bot 256 von 1238


Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence / Data­base Sys­tems and Inform­a­tion Man­age­ment

Rese­arch Assist­ant (Post­Doc) - salary grade E13 TV-L Ber­liner Hoch­schu­len - 2nd qual­i­fic­a­tion period

part-time employ­ment may be pos­sible

Work­ing field:

Big data pres­ents a com­ple­tely new set of chal­len­ges for data pro­ces­sing and data ana­lysis. Large quant­it­ies of low-latency data can be ana­lyzed using advan­ced machine learn­ing tech­niques that lead to new real­iz­a­tions and pre­dic­tions con­cern­ing com­plex rela­tion­ships in (near-) real-time. Howe­ver, these cap­ab­il­it­ies pre­sent immense eth­ical chal­len­ges, in terms of sys­tems, algo­rithms, and data man­age­ment in the course of con­duct­ing data ana­lysis. Sys­tems have to ensure fair­ness, diver­sity, trans­par­ency, neut­ral­ity, and pro­vi­des data pro­tec­tion. Wit­hin this rese­arch pro­ject, tech­no­lo­gical basics and pro­to­types for respons­ible data man­age­ment are to be rese­ar­ched and deve­lo­ped in order to ensure the above men­tio­ned char­ac­ter­ist­ics by test­ing and veri­fic­a­tion of algo­rithms as well as trace­ab­il­ity and repro­du­cib­il­ity on the basis of Open-Source and Open-Data. It should be noted that this pos­i­tion also car­ries teach­ing duties.


Suc­cess­fully com­ple­ted uni­ver­sity degree (Mas­ter, Dip­lom or equi­val­ent) and PhD in Data Man­age­ment, Dis­trib­uted Sys­tems, or Scal­able Data Ana­lysis. They should be inter­ested in devel­op­ing a novel sys­tem and con­duct rese­arch in a real-world app­lic­a­tion set­ting. Ide­ally, app­lic­ants should pos­sess know­ledge in pro­gram­ming lan­guages and com­pilers, data sci­ence and machine learn­ing as well as dis­trib­uted pro­gram­ming. App­lic­ants exper­i­enced in big data ana­lyt­ics sys­tems, such as Apa­che Flink or Spark as well as open source devel­op­ment will be loo­ked upon favor­ably. In addi­tion, flu­ency in Ger­man and good know­ledge of Eng­lish are requi­red. Moreo­ver, past open-source pro­ject, indus­try, pro­ject man­age­ment, or teach­ing exper­i­ence will be loo­ked upon favor­ably.

How to ap­ply:

Please send your writ­ten applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments (in par­tic­u­lar cover letter, CV, academic transcripts, reference letters, and a sample of three representative publications) to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Datenbanksysteme und Informationsmanagement (DIMA), Prof. Dr. Markl, Sekr. E-N 7, 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.