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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 at TU Ber­lin is cur­rently seek­ing to hire a Research Asso­ci­ate (PhD stu­dent) to con­duct research and devel­op­ment in the area of scal­able stream pro­cessing sys­tems for Inter­net of Things (IoT) applic­a­tions. Cur­rently, we are build­ing a novel data stream pro­cessing sys­tem that is cap­able of hand­ling thou­sands of quer­ies over mil­lions of sensors. Can­did­ates should be inter­ested in fog com­put­ing archi­tec­tures, edge com­put­ing tech­no­lo­gies, and sys­tems build­ing tasks (e.g., design­ing, imple­ment­ing, and eval­u­at­ing novel algorithms) and motiv­ated to address chal­lenges pre­val­ent in highly-dis­trib­uted and volat­ile IoT envir­on­ments. We encour­age applic­a­tions from highly motiv­ated can­did­ates who wish to con­trib­ute to the devel­op­ment of a novel data stream pro­cessing sys­tem for IoT applic­a­tions.

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: data pro­cessing, pro­gram­ming lan­guages and com­pilers, dis­trib­uted sys­tems, data ana­lysis and machine learn­ing, and par­al­lel com­put­ing. 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.