Rese­arch Assist­ant in Remote Sens­ing
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 Group

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

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

Work­ing field:

The rese­arch of the PhD can­did­ate will aim at devel­op­ing innov­at­ive machine learn­ing tech­niques (with a spe­cial focus on deep learn­ing) for the ana­lysis of big data from space.
The main top­ics include:
1) devel­op­ing deep neural net­work mod­els that can over­come the data imbal­ance prob­lems for satel­lite image clas­si­fic­a­tion;
2) integ­ra­tion of the crowd­sourced data (e.g., open street map tags) wit­hin deep neural net­work mod­els for the extrac­tion of image seman­tic inform­a­tion;
3) devel­op­ing act­ive learn­ing meth­ods that are app­lic­able to the desi­gned deep neural net­works.

Require­ments:

  • Suc­cess­fully com­ple­ted uni­ver­sity degree (Mas­ter, Dip­lom or equi­val­ent) in Com­puter Sci­ence or Com­puter Engin­eer­ing
  • Expri­ence in machine learn­ing, data min­ing, deep learn­ing
  • Solid pro­gram­ming skills
  • Good exper­i­ence with at least one deep learn­ing frame­work (ten­sor­flow, caffe, pyt­orch)
  • 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).

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.

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 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: 80842

Num. of em­ploy­ees:
ca. 8300
Site:
  • Charlottenburg, Berlin (Berlin, Germany)
Type:
  • gradu­ate pos­i­tion
  • research assist­ant
Cat­egory (TU Ber­lin):
  • Research assist­ant without teach­ing oblig­a­tion
Dur­a­tion:
until 31/12/2022
Part-/Full-time:
full-time, part-time employment may be possible
Start­ing date (earli­est):
At the earli­est poss­ible
Remu­n­er­a­tion:
Salary grade E13
Scope:
machine learning,
  • com­puter sci­ences
Field of stud­ies:
  • com­puter sci­ence
  • com­puter en­gin­eer­ing
Level of edu­c­a­tion:
Master, Diplom or equivalent
Lan­guage skills:
  • English (fluently written and spoken)

Make an Ap­plic­a­tion

Clos­ing date:
10/07/20
Re­ference num­ber:
IV-779/19
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:
jobs@rsim.tu-berlin.de


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