Berlin University Alliance Jobportal

The Cyber­se­cur­ity and AI Group (former Heis­en­berg Com­mu­nic­a­tions and Inform­a­tion The­ory Group) at Freie Uni­versität Ber­lin, Depart­ment of Math­em­at­ics and Com­puter Sci­ence, is dir­ec­ted by Prof. Dr.-Ing. habil. Ger­hard Wun­der and sup­por­ted by Bundes­druckerei GmbH. Main work­ing areas are AI, deep learn­ing and inform­a­tion the­ory for secur­ity, pri­vacy and iden­tity with applic­a­tion in IoT, 6G, block chains, post-quantum codes, deep fake detec­tion, data base com­pres­sion and many more. You can find fur­ther details at: www.mi.fu-berlin.de/en/inf/groups/ag-comm/index.html.
The Inform­a­tion Secur­ity group at Freie Uni­versität Ber­lin, dir­ec­ted by Prof. Dr. Marian Mar­graf, deals with the design, cre­ation and eval­u­ation of usable and secure soft­ware and IT sys­tems. The main areas of focus of the work­ing group are: cryptoana­lysis, applied cryp­to­graphy, Usable Pri­vacy and Secur­ity, Pri­vacy pre­serving machine learn­ing, Secure Sys­tems Engin­eer­ing and IT secur­ity man­age­ment. For fur­ther details see: https://www.mi.fu- ber­lin.de/inf/groups/ag-idm/index.html

Job descrip­tion:
UltraSec is a research pro­ject focus­ing on the immensely poten­tial Ultra Wide Band (UWB) wire­less tech­no­logy. The col­lab­or­at­ive pro­ject con­sists of part­ners from lead­ing aca­demia, IoT and secur­ity cent­ric star­tup, research insti­tute, and industry. The group is seek­ing two PhD can­did­ates in the field of 1) AI-based anom­aly (threat) detec­tion and attacker iden­ti­fic­a­tion, and 2) Crypto concept devel­op­ment and PQC secur­ity prim­it­ives. The PhD can­did­ates con­trib­ute to the the­or­et­ical found­a­tions, design, and imple­ment­a­tion of secur­ity archi­tec­ture for UWB based IoT-devel­op­ment plat­form thereby closely col­lab­or­at­ing with the part­ners in the con­sor­tium. Can­did­ates are expec­ted to co-author art­icles pub­lished in high- qual­ity aca­demic ven­ues such as IEEE/ACM con­fer­ences and journ­als. Within the frame­work of the extern­ally fun­ded research pro­ject, the oppor­tun­ity for writ­ing a doc­toral-thesis is gran­ted.

Applic­ants must pos­sess a com­pleted sci­entific degree (mas­ter or equi­val­ent) in com­puter sci­ence, math­em­at­ics, elec­trical engin­eer­ing or sim­ilar.

Desir­able:
1) Pro­found the­or­et­ical know­ledge in AI, deep learn­ing, threat mod­el­ling, and good cod­ing skills in either Python, Tensor­Flow (or PyT­orch). Gen­eral under­stand­ing of cod­ing qual­ity and solid prac­tice of source code and pro­ject man­age­ment tools (Git, Travis-CI etc.) is a plus. Abil­ity and will­ing­ness to work and cooper­ate with the mem­bers of group and the pro­ject con­sor­tium.
2) Solid math­em­at­ical back­ground in clas­sical cryp­to­graphy and post-quantum cryp­to­graphy. Abil­ity and will­ing­ness to work and cooper­ate with the mem­bers of group and the pro­ject con­sor­tium.

Applic­a­tions should be sent by e-mail, together with sig­ni­fic­ant doc­u­ments, indic­at­ing the ref­er­ence code, in PDF format (prefer­ably as one doc­u­ment) no later than March 27th,
2023 to g.wunder@fu-berlin.de (cc: stefanie.bahe@fu-berlin.de ) or postal to.

Freie Uni­versität Ber­lin
Fachbereich Math­em­atik und Inform­atik Insti­tut für Inform­atik
UltraSec - Profes. Wun­der, Mar­graf
Mr. Prof. Dr.-Ing. Ger­hard Wun­der Tak­ustr. 9
14195 Ber­lin (Dah­lem)

With an elec­tronic applic­a­tion, you acknow­ledge that FU Ber­lin saves and pro­cesses your data. FU Ber­lin can­not guar­an­tee the secur­ity of your per­sonal data if you send your applic­a­tion over an unen­cryp­ted con­nec­tion.

Freie Uni­versität Ber­lin is an equal oppor­tun­ity employer.