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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 (Habil­it­a­tion)

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

Big Data offers com­ple­tely new pos­sib­il­it­ies for data pro­ces­sing and data ana­lysis. Mas­sive amounts of data can be ana­lyzed with low latency by advan­ced machine learn­ing meth­ods and thus enable the near real-time action­ab­il­ity on new insights and pre­dic­tions about com­plex rela­tion­ships are cre­ated. Howe­ver, these pos­sib­il­it­ies pose immense eth­ical chal­len­ges to data ana­lysis with respect to sys­tems, algo­rithms and data pro­ces­sing. Thus, fair­ness, diver­sity and, trans­par­ency, neut­ral­ity and pri­vacy have to become key fea­tures of novel data man­age­ment sys­tems.

Work­ing field:

The goal of this rese­arch pro­ject is to rese­arch and deve­lop the found­a­tions and pro­to­types for
res­pons­ible data man­age­ment with respect to ensur­ing the afore­men­tio­ned key fea­tures by means of test­ing and veri­fic­a­tion of algo­rithms as well as trace­ab­il­ity and repro­du­cib­il­ity of open source and open data. This pos­i­tion inclu­des the oblig­a­tion to teach.


Suc­cess­fully com­ple­ted uni­ver­sity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence; PhD (summa cum laude) with focus on data­bases and data man­age­ment; deep know­ledge in imple­ment­a­tion of DBMS, and in data ana­lyt­ics as well as math­em­at­ics (stat­ist­ics and logic) and com­piler con­struc­tion; flu­ent Ger­man and Eng­lish.
desi­red: exper­i­ences in open-source pro­jects, in indus­try, pro­ject man­age­ment, and a long record in sci­ent­i­fic pub­lic­a­tions, teach­ing, and pub­lic pre­sent­a­tions

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 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.