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

Rese­arch Assist­ant - salary grade E13 TV-L Ber­liner Hoch­schu­len

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

Work­ing field:

The Data­base Sys­tems and Inform­a­tion Man­age­ment (DIMA) Group is cur­rently seek­ing to hire a Research Asso­ci­ate (PhD stu­dent) to con­duct research and devel­op­ment in the area of large dynamic graphs. As the cur­rent nature of graph pro­cessing is shift­ing from quer­ies over a static graph rep­res­ent­a­tion to highly dynamic graph envir­on­ments (e.g., Social Net­works, Inter­net of Things), we are inter­ested in build­ing a het­ero­gen­eous, dis­trib­uted, stream­ing sys­tem that is able to not only answer quer­ies, but also run graph ana­lyt­ics and machine learn­ing tasks using the tem­poral aspect of events. In some instances, recog­niz­ing a tem­poral effect can be insight­ful (e.g., the dur­a­tion of time a link exists between two nodes). Although there is a rich body of work on static and dynamic graphs, ana­lyz­ing their tem­poral nature is less well stud­ied. We encour­age applic­a­tions from highly motiv­ated can­did­ates who wish to con­trib­ute to a novel het­ero­gen­eous and dis­trib­uted stream­ing sys­tem for tem­poral graph stream query pro­cessing in highly dynamic envir­on­ments.

Require­ments:

Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence with a focus on data man­age­ment, dis­trib­uted sys­tems, or scal­able data ana­lysis. You should be inter­ested in work­ing in a lead­ing research field, devel­op­ing a novel sys­tem, and con­duct­ing research in real-world applic­a­tion set­tings. Know­ledge on one or more of the fol­low­ing areas is highly desired: dis­trib­uted sys­tems, stream pro­cessing, graph pro­cessing/min­ing, and scal­able machine learn­ing. Can­did­ates must have good com­mu­nic­a­tion skills in Eng­lish and be pro­fi­cient in pro­gram­ming lan­guages, such as Java or C++.

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 jobs@dima.tu-berlin.de.

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.