Uni­ver­sity Pro­fess­or­ship in Machine Learn­ing and IT Secur­ity
Technical University Berlin
Germany

Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV

TU Ber­lin, Fac­ulty IV (Elec­trical Engin­eer­ing and Com­puter Sci­ence), Insti­tute for Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence and the Ber­lin Insti­tute for Found­a­tions of Learn­ing and Data (BIFOLD) invites appilca­tions for the pos­i­tion of a

Uni­ver­sity Pro­fess­or­ship - salary grade W3

in the field of "Machine Learn­ing and IT Secur­ity".

Work­ing field:

We are seek­ing qual­i­fied applic­ants who based on pre­vi­ous work will con­duct inde­pend­ent research and teach­ing in two or more of the fol­low­ing areas:
(i) Machine Learn­ing for IT-Secur­ity
(ii) for IT-Secur­ity for Machine Learn­ing
(iii) Scal­able IT-Secur­ity
(iv) Secur­ity fo Data Sci­ence Sys­tems and Plat­forms.

Require­ments:

Applic­ants must ful­fill the appoint­ment require­ments accord­ing to §100 Ber­lHG. The pre­requis­ites are a com­pleted sci­entific uni­versity degree with a focus on com­puter sci­ence, the spe­cial qual­i­fic­a­tion for sci­entific work (usu­ally proven by a doc­tor­ate) in the field of machine learn­ing/IT secur­ity, addi­tional sci­entific achieve­ments (habil­it­a­tion or equi­val­ent sci­entific achieve­ments) as well as ped­ago­gical aptitude and exper­i­ence, to be given proof of by a teach­ing port­fo­lio (for more inform­a­tion see TUB web­site, quick access no. 144242). Research exper­i­ence in the areas out­lined in the job descrip­tion, exper­i­ence in national and inter­na­tional research cooper­a­tions (proven by rel­ev­ant stays abroad and/or sig­ni­fic­ant par­ti­cip­a­tion in pro­jects) are also required. Teach­ing will be con­duc­ted in both Ger­man and Eng­lish.

The Tech­nis­che Uni­versität Ber­lin expects its pro­fess­ors to be able to take respons­ib­il­ity for the man­age­ment and stra­tegic devel­op­ment of their sub­ject area and their staff. For us, this also includes com­mit­ment to the pro­mo­tion of young research­ers and women, gender and diversity com­pet­ence in the sense of cre­at­ing diversity-sens­it­ive work­ing and study con­di­tions and set­ting impulses in research and teach­ing, as well as par­ti­cip­a­tion in aca­demic self-admin­is­tra­tion. Inter­dis­cip­lin­ary cooper­a­tion, ini­ti­at­ives in sci­ence com­mu­nic­a­tion and in know­ledge or tech­no­logy trans­fer are desired. As an inter­na­tion­ally renowned uni­versity, we require a very good know­ledge of the Eng­lish lan­guage and expressly wel­come applic­a­tions from non-Ger­man-speak­ing sci­ent­ists who are will­ing to learn Ger­man in the near future.

How to ap­ply:

Tech­nis­che Uni­versität Ber­lin is determ­ined to increase the pro­por­tion of women in research and teach­ing and there­fore strongly encour­ages qual­i­fied female research­ers to apply. 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 is a cer­ti­fied fam­ily-friendly higher edu­ca­tion insti­tu­tion, and our Dual Career Ser­vice offers assist­ance to you and your fam­ily when relo­cat­ing to Ber­lin.

Please sub­mit your applic­a­tion by Jan 4th 2021, quot­ing the ref­er­ence num­ber, together with the usual doc­u­ments (includ­ing CV, list of pub­lic­a­tions, cop­ies of aca­demic degrees and cop­ies of up to five selec­ted pub­lic­a­tions, research and teach­ing concept, teach­ing port­fo­lio) only in digital format by e-mail to berufungen@eecs.tu-berlin.de: Tech­nis­che Uni­versität Ber­lin -Der Präsid­ent- Dekan der Fak­ultät IV, Sekr. MAR 6-1, March­str. 23, 10587 Ber­lin.

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 TU web­site quick access 214041.
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Facts

ID: 86502

Num. of em­ploy­ees:
ca. 8300
Site:
  • Charlottenburg, Berlin (Berlin, Germany)
Type:
  • gradu­ate pos­i­tion
  • professorship
Cat­egory (TU Ber­lin):
  • Pro­fessor
Dur­a­tion:
unlim­ited
Part-/Full-time:
full-time
Start­ing date (earli­est):
At the earli­est poss­ible
Remu­n­er­a­tion:
Salary grade W3
Scope:
machine learning and it security,
  • research
  • com­puter sci­ences
  • teach­ing
Field of stud­ies:
  • com­puter sci­ence
Level of edu­c­a­tion:
fulfill the appointment requirements according to §100 BerlHG
Lan­guage skills:
  • English (excellent knowledge of language)
Job offer is addi­tion­ally pub­lished at:
academics.de/zeit.de, academics.com, DHV online, IEEE JobSite

Make an Ap­plic­a­tion

Clos­ing date:
04/01/21
Re­ference num­ber:
IV-756/20
By mail:
Technische Universität Berlin
- Der Präsident -
Dekan der Fakultät IV, Sekr. MAR 6-1, Marchstr. 23, 10587 Berlin
By e-mail:
berufungen@eecs.tu-berlin.de
Applic­a­tion papers:
including CV, list of publications, copies of academic degrees and copies of up to five selected publications, research and teaching concept, teaching portfolio


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