An­ge­bot 188 von 276 vom 30.08.2018, 08:48


Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Tele­com­mu­nic­a­tion Sys­tems / Com­mu­nic­a­tion and Inform­a­tion The­ory

Research Assist­ant - salary grade 13 TV-L Ber­liner Hoch­schu­len

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

Work­ing field:

The pro­ject Non-Neg­at­ive Struc­tured Regress ist partly fun­ded by the DAAD and intends to strengthen a col­lab­or­a­tion between TU Ber­lin and the African Insti­tute of Math­em­at­ical Sci­ences (AIMS), South Africa (Cape Town). The will­ing­ness for such col­lab­or­a­tion and for research stays at AIMS in South Africa is expec­ted. The selec­ted applic­ant will enter the PhD pro­gram at TU Ber­lin, with the Com­mu­nic­a­tions and Inform­a­tion The­ory Chair of the Depart­ment of Elec­trical Engin­eer­ing and Com­puter Sci­ence. The main job duties con­sists of devel­op­ing innov­at­ive and inde­pend­ent research on a set of top­ics defined in agree­ment with the aca­demic advisors, Prof. Caire and Dr. Jung, and pos­sible co-advisors (to be defined), pos­sibly work­ing on research pro­jects with the Chair.


Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in at least one of the fol­low­ing areas: Elec­trical/Com­puter Engin­eer­ing, Com­puter Sci­ence, Math­em­at­ics, Phys­ics.
For gradu­ates in Engin­eer­ing, par­tic­u­lar emphasis will be given to can­did­ates with back­ground in some of the fol­low­ing areas: chan­nel cod­ing and inform­a­tion the­ory, detec­tion/recon­struc­tion and estim­a­tion of para­met­ers, stat­ist­ical sig­nal pro­cessing, com­pressed sens­ing.
For gradu­ates in Com­puter Sci­ence, par­tic­u­lar emphasis will be given to can­did­ates with back­ground in some of the fol­low­ing areas: machine learn­ing, high-dimen­sional infer­ence and big-data algorithms, com­pressed sens­ing, struc­tured mat­rix recov­ery, robust prin­cipal com­pon­ent ana­lysis, graph the­ory.
For gradu­ates in Math­em­at­ics and Phys­ics, par­tic­u­lar emphasis will be given to can­did­ates with back­ground in some of the fol­low­ing areas: mul­tivari­ate stat­ist­ics and ran­dom mat­rix the­ory, stat­ist­ical phys­ics, com­pressed sens­ing, con­vex and com­bin­at­or­ial optim­iz­a­tion, stochastic geo­metry, dis­crete math­em­at­ics and graph the­ory.

How to ap­ply:

Please send your applic­a­tion with the ref­er­ence num­ber (ID) and the usual doc­u­ments:
  • a cur­riculum vitae, stat­ing clearly and pre­cisely their edu­ca­tion his­tory, earned degrees and pre­vi­ous aca­demic insti­tu­tions
  • let­ters of recom­mend­a­tion from aca­demic advisors, Mas­ter thesis super­visors, aca­demic instruct­ors (up to 4 let­ters)
  • pub­lished research work, includ­ing Mas­ter thesis in elec­tronic form
  • a let­ter of motiv­a­tion and pur­pose, illus­trat­ing in par­tic­u­lar how the can­did­ates back­ground fits with one or more of the areas lis­ted above
  • offi­cial grade tran­scripts with cer­ti­fied trans­la­tion in Eng­lish or Ger­man if the ori­ginal doc­u­ments are in a dif­fer­ent lan­guage.
to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fak­ultät IV, Insti­tut für Telekom­munika­tionssysteme, Prof. Caire, Sekr. HFT 6, Ein­steinufer 25, 10587 Ber­lin.
Applic­a­tions can be sent in writ­ten form, elec­tronic form, or both. We prefer elec­tronic sub­mis­sion (please spe­cify the ref­er­ence num­ber (ID) to:

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.