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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Com­puter Engin­eer­ing and Micro­elec­tron­ics / Remote Sens­ing Image Ana­lysis

Rese­arch Assist­ant (Post­Doc) - salary grade E13 TV-L Ber­liner Hoch­schu­len

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

Work­ing field:

The Remote Sens­ing Image Ana­lysis Group is seek­ing a highly motiv­ated Post­doc­toral Rese­ar­cher with a strong record of accom­plish­ment in machine learn­ing and com­puter vis­ion. The suc­cess­ful can­did­ate will con­duct rese­arch and deve­lop advan­ced deep learn­ing based algo­rithms for satel­lite image search/retrie­val from large scale data archi­ves and seman­tic scene under­stand­ing. This will ent­ail the devel­op­ment of novel deep learn­ing mod­els that can address the prob­lems on incom­plete, noisy and imbal­anced train­ing sets for scal­able image search, retrie­val and clas­si­fic­a­tion. This rese­arch activ­ity is a part of the ERC-fun­ded pro­ject: BigE­arth - Accur­ate and Scal­able Pro­ces­sing of Big Data in Earth Obser­va­tion (http://bigearth.eu).

Require­ments:

  • Suc­cess­fully com­ple­ted uni­ver­sity degree (Mas­ter, Dip­lom or equi­val­ent) and PhD degree in com­puter sci­ence, engin­eer­ing or math­em­at­ics
  • Rese­arch experi­ence in machine learn­ing for image ana­lysis and com­puter vis­ion
  • Solid pro­gram­ming skills (e.g. Python) with exper­i­ence using deep learn­ing lib­rar­ies
  • A solid track record of rese­arch in machine learn­ing and com­puter vis­ion journ­als and/or con­fer­ences
  • Excel­lent Eng­lish oral and writ­ten com­mu­nic­a­tion skills; good com­mand of Ger­man is requi­red; will­ing­ness to extend the Ger­man lan­guage skills

How to ap­ply:

Please send your app­lic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments by email (sin­gle pdf file, max. 5 MB) to Prof. Begum Demir (jobs@rsim.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.

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: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.

Tech­nis­che Uni­ver­si­tät Ber­lin - Der Prä­sid­ent - Fak­ultät IV, Insti­tut für Tech­nis­che Inform­atik und Mik­roelek­tro­nik, FG Remote Sens­ing Image Ana­lysis, Prof. Dr. Begum Demir, Sekr. E-N 5, Ein­stein­ufer 17, 10587 Ber­lin