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

Reference number: IV-963/19 - Stellenticket TU Berlin
Starting date: as soon as possible, initially for 2 years
Closing date: February 7, 2020
 
Work­ing field: The selec­ted applic­ants will enter the PhD pro­gram at TU-Ber­lin, with the Inform­a­tion The­ory and Applic­a­tions Chair of the Fac­ulty of Elec­trical Engin­eer­ing and Com­puter Sci­ence. The main job duties con­sist of devel­op­ing innov­at­ive and inde­pend­ent research within the “Machine Learn­ing for Phys­ical Layer Secur­ity” pro­ject. Within this pro­ject, the aim is to develop machine learn­ing-based approaches for secure com­mu­nic­a­tion includ­ing
  • Machine learning for physical layer security
  • Information theory for machine learning
  • Study of connections between information theory, security and privacy, and machine learning.
Aca­demic super­vi­sion might be offered or com­ple­men­ted by col­leagues from vari­ous research pro­jects of 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. Schaefer, Sekr. HFT 6, Ein­steinufer 25, 10587 Ber­lin. 

Applic­a­tions can be sent in writ­ten form, elec­tronic form, or both. We prefer the elec­tronic sub­mis­sion to:  (cc ). 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.

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

Reference number: IV-964/19 - Stellenticket TU Berlin
Starting date: as soon as possible, initially until 31.05.2022
Closing date: February 7, 2020
 
Work­ing field: The selec­ted applic­ants will enter the PhD pro­gram at TU-Ber­lin, with the Inform­a­tion The­ory and Applic­a­tions Chair of the Fac­ulty of Elec­trical Engin­eer­ing and Com­puter Sci­ence. The main job duties con­sist of devel­op­ing innov­at­ive and inde­pend­ent research within the “Post Shan­non Com­mu­nic­a­tion” pro­ject includ­ing
  • Development of communication and information theory for new communication applications
  • Design of physical layer security mechanisms
  • Design of new communication and coding schemes
Aca­demic super­vi­sion might be offered or com­ple­men­ted by col­leagues from vari­ous research pro­jects of 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. Schaefer, Sekr. HFT 6, Ein­steinufer 25, 10587 Ber­lin. 

Applic­a­tions can be sent in writ­ten form, elec­tronic form, or both. We prefer the elec­tronic sub­mis­sion to:  (cc ). 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.

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