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Aktuelle Stellenangebote

2 pos­i­tions - Research Assist­ant (PhD can­did­ate) - salary grade E13 TV-L Ber­liner Hoch­schu­len

Reference number: IV-603/18 - Stellenticket TU Berlin
Starting date: as soon as possible, for 4 years
Closing date: 09/11/2018
 
Work­ing field: The selec­ted applic­ants 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 their aca­demic advisor, Prof. Caire, and pos­sible co-advisors (to be defined), pos­sibly work­ing on research pro­jects with the Chair.
 
Require­ments: Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in Elec­trical/Com­puter Engin­eer­ing, Com­puter Sci­ence, Math­em­at­ics, Phys­ics. Par­tic­u­lar emphasis will be given to can­did­ates with back­ground in at least one or more of the fol­low­ing areas: 
 
Inform­a­tion The­ory, Chan­nel Cod­ing The­ory, Net­work Cod­ing & Index Cod­ing, Video Cod­ing & Video Stream­ing, Con­tent Dis­tri­bu­tion Net­works, Web Cach­ing and Cach­ing Net­works, Stochastic Net­work Optim­iz­a­tion, Rout­ing and Schedul­ing, Dis­trib­uted/Coded Com­put­ing, Private Inform­a­tion Retrieval, Graph The­ory, Con­vex and Com­bin­at­or­ial Optim­iz­a­tion, Stochastic Geo­metry, Com­munity Detec­tion in Social Net­works, Machine Learn­ing, Sparse Sig­nal Recon­struc­tion and Mat­rix Com­ple­tion, Asymp­totic Ran­dom Mat­rix The­ory, Stat­ist­ical Phys­ics of Large Ran­dom Sys­tems (e.g., Ising mod­els, spin-glasses, k-sat prob­lems). 
 
Good Eng­lish lan­guage skills are desired.
 
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, MS thesis supervisors, academic instructors (up to 4 letters);
  • published research work, including MS 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 the elec­tronic sub­mis­sion to: Please spe­cify the ref­er­ence num­ber /ID!!!
 
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.

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

Reference number: IV-602/18 - Stellenticket TU Berlin
Starting date: as soon as possible, for 2 years
Closing date for application: 09/11/2018

Work­ing field: The selec­ted Postdoc­toral Fel­low will have oppor­tun­it­ies to work in an enrich­ing inter­dis­cip­lin­ary envir­on­ment, with sig­ni­fic­ant poten­tial for broad impact in terms of tech­no­logy devel­op­ment, industry involve­ment, and edu­ca­tional ini­ti­at­ives. He/she is expec­ted to develop an inde­pend­ent research pro­gram around the top­ics of the Advanced ERC Grant CARENET (PI Prof. Caire), focused on Wire­less-Edge Cach­ing, Cache-Aided phys­ical layer solu­tions, massive con­tent dis­tri­bu­tion over wire­less net­works. The Postdoc­toral Fel­low will serve in a lead­er­ship role with respect to ment­or­ing of stu­dents research at the BS, MS and PhD level.

Requirements: 
Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) and a PhD degree in a field related to Sci­ence of Inform­a­tion, for example: Inform­a­tion The­ory, Com­mu­nic­a­tion Sys­tems and Net­works, Chan­nel Cod­ing, Source Cod­ing, Stat­ist­ical Sig­nal Pro­cessing, Machine Learn­ing, Com­mu­nic­a­tion/Com­puter Net­work­ing, Con­tent Dis­tri­bu­tion Net­works and Cach­ing, Con­vex/Com­bin­at­or­ial Optim­iz­a­tion, Graph The­ory and Stochastic Geo­metry. Can­did­ates must have a solid track record of research in one or more areas related to the research agenda of the Chair, and have excel­lent Eng­lish oral and writ­ten com­mu­nic­a­tion skills (pro­fi­ciency in Ger­man is a plus).

How to ap­ply: Please send your applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments:

  • a com­plete cur­riculum vitae includ­ing edu­ca­tion, employ­ment his­tory and list of pub­lic­a­tions
  • names and con­tact inform­a­tion of at least three ref­er­ences
  • PhD thesis in elec­tronic form
  • a state­ment of research interest, illus­trat­ing in par­tic­u­lar how the can­did­ate's back­ground fits with one or more of the areas above
  • final grade tran­scripts with cer­ti­fied trans­la­tion in Eng­lish or Ger­man if the ori­ginal doc­u­ments are in a dif­fer­ent lan­guage
  • PhD cer­ti­fic­ate and 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 the elec­tronic sub­mis­sion to: Please spe­cify the ref­er­ence num­ber!!! 
 
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.

 

 

1 offene Position für eine studentische Hilfskraft - Signalverarbeitung in MATLAB

Referenznummer: 3433T96/18 - Offizielle Stellenausschreibung
Bewerbungsschluss: 01/11/2018
Detaillierte Stellenausschreibung

Bewerbungen können in Papierform oder in elektronischer Form per E-Mail eingereicht werden. Die elektronische Form wird bevorzugt. Bitte senden Sie die Bewerbung an:
 
Zur Wahrung der Chancengleichheit zwischen Männern und Frauen sind Bewerbungen von Frauen mit der jeweiligen Qualifikation ausdrücklich erwünscht. Schwerbehinderte werden bei gleicher Eignung bevorzugt.

 

 

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