Rese­arch Assist­ant in Remote Sens­ing Image Ana­lysis
Technical University Berlin Insti­tute of Com­puter Engin­eer­ing and Micro­elec­tron­ics
Germany

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 (sekr@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
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Facts

ID: 86907

Num. of em­ploy­ees:
ca. 8300
Site:
  • Charlottenburg, Berlin (Berlin, Germany)
Type:
  • gradu­ate pos­i­tion
  • researcher
  • research assist­ant
Cat­egory (TU Ber­lin):
  • PostDoc
  • Research assist­ant without teach­ing oblig­a­tion
Dur­a­tion:
for a period of 2 years
Part-/Full-time:
full-time; part-time employment may be possible
Start­ing date (earli­est):
At the earli­est poss­ible
Remu­n­er­a­tion:
Salary grade E13
Scope:
  • research
  • com­puter sci­ences
  • en­gin­eer­ing
Field of stud­ies:
  • com­puter sci­ence
  • com­puter en­gin­eer­ing
Level of edu­c­a­tion:
Master, Diplom or equivalent and PhD
Lan­guage skills:
  • English (fluently written and spoken)
  • German (good knowledge of language)

Make an Ap­plic­a­tion

Clos­ing date:
31/12/20
Re­ference num­ber:
IV-945/19
By mail:
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
By e-mail:
sekr@rsim.tu-berlin.de


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