Of­fer 25 out of 150 from 23/02/21, 09:52


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

Research Assist­ant - salary grade E 13 TV-L Ber­liner Hoch­schu­len

part-time employ­ment may be pos­sible

Work­ing field:

The Inter­net of Things (IoT) led to many dis­rupt­ive tech­no­lo­gies and app­lic­a­tions in domains such as smart home, auto­nom­ous driv­ing, health­care and nat­ural dis­aster man­age­ment. By 2020, the num­ber of "things" that are inter­con­nec­ted will rise to 20 bil­lion. Fog Com­put­ing is used to enable a user-cent­ric approach, using "edge" devices to per­form parts of the com­pu­ta­tion, stor­age or com­mu­nic­a­tion. Fog Com­put­ing is ide­ally sui­ted to solve prob­lems ari­sing from pro­ces­sing mil­lions of dis­trib­uted sen­sor data. Wit­hin this rese­arch pro­ject a new sys­tem for this IoT envir­on­ment is being deve­lo­ped. The focus is on the devel­op­ment of new meth­ods and sys­tem aspects. Espe­cially the dis­trib­uted and volat­ile IoT envir­on­ment is a source of prom­ising rese­arch ques­tions that will be add­res­sed in this pro­ject. The goal of the pro­ject is to cre­ate a sys­tem that allows thou­sands of quer­ies over mil­lions of sen­sors. The tasks also include repos­it­ory admin­is­tra­tion, sys­tem man­age­ment and soft­ware qual­ity assur­ance. The achie­ved res­ults shall also be pre­sen­ted in con­tri­bu­tions to inter­na­tio­nal pub­lic­a­tions.


Suc­cess­fully com­ple­ted uni­ver­sity degree (Mas­ter, Dip­lom or equi­val­ent) in the field of com­puter sci­ence, indus­trial engin­eer­ing or busi­ness inform­at­ics. Ide­ally, you have in-depth know­ledge of data man­age­ment, dis­trib­uted sys­tems or scal­able data ana­lysis. In addi­tion, we gen­er­ally expect a keen inte­rest in rese­arch activ­it­ies and in the devel­op­ment of new sys­tems. You should have exper­i­ence in the areas of data pro­ces­sing, pro­gram­ming lan­guages and com­pilers, machine learn­ing, par­al­lel com­put­ing and pro­gram­ming skills in C++. Fur­ther require­ments are the abil­ity to work in a team and excel­lent Eng­lish lan­guage skills for work­ing in our inter­na­tio­nal team as well as the will­ing­ness to learn the Ger­man lan­guage.

How to ap­ply:

Please send your app­lic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments only via email to Prof. Dr. Markl at

By sub­mit­ting your app­lic­a­tion via email you con­sent to hav­ing your data elec­tron­ic­ally pro­ces­sed and saved. Please note that we do not pro­vide a guar­anty for the pro­tec­tion of your per­sonal data when sub­mit­ted as unpro­tec­ted file. Please find our data pro­tec­tion notice acc. DSGVO (Gen­eral Data Pro­tec­tion Reg­u­la­tion) at the TU staff depart­ment home­page: or quick access 214041.

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.

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