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

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

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

Work­ing field:

The sys­tem archi­tec­ture of data­base man­age­ment sys­tem (DBMS) is rather com­plex, with query pro¬cessor and stor­age man­age­ment as essen­tial com­pon­ents. Due to het­ero­gen­eous hard­ware and com­plex require­ments in terms of query lan­guages, data types and scalab­il­ity, the com­plex­ity of these com­pon­ents con­tin­ues to increase. The aim of this research pro­ject is to invest­ig­ate the reduc­tion of the com­plex­ity of a DBMS through the “Machine Learn­ing (ML) for Sys­tems” or “Soft­ware 2.0” approach. The fun­da­mental research ques­tion we strive to answer are “Which com­pon­ents of a data­base sys­tem can be replaced or improved by ML meth­ods?” and “How should such a sys­tem be archi­tec­ted?” Pre­vi­ous suc­cess­ful research has achieved break­throughs through learn­ing query optim­izers or learned indexes. In this pro­ject, we strive to develop ML algorithms and mod­els for com­pon­ents of a data­base sys­tem, integ­rate them into an open-source sys­tem archi­tec­ture, and demon­strate their effi­ciency and effect­ive­ness. This pos­i­tion includes teach­ing and enables fur­ther qual­i­fic­a­tion through postdoc­toral achieve­ments (equi­val­ent to a Habil­it­a­tion).


Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) and PhD in Data­base Man­age­ment Sys­tems. They should be inter­ested in devel­op­ing a novel sys­tem and con­duct research in a real-world applic­a­tion set­ting. Ideally, applic­ants should pos­sess know­ledge in sys­tems pro­gram­ming, data man­age­ment, machine learn­ing and com­puter archi­tec­ture. Applic­ants exper­i­enced in open source DBMS such as Post­gres or MySQL, or data pro­cessing sys­tems such as Apache Cal­cite, Flink or Spark will be looked upon favor­ably. In addi­tion, flu­ency in Ger­man and good know­ledge of Eng­lish are required. Moreover, past open-source pro­jects, industry exper­i­ence, 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, and reference letters) 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.