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Tech­ni­sche Uni­ver­si­tät Dres­den - Faculty of Com­pu­ter Sci­ence, Insti­tute of Arti­fi­cial Intel­li­gence, Clus­ter of Excel­lence “Centre for Tac­tile Inter­net with Human-in-the-Loop” (CeTI)

The TU Dres­den is one of ele­ven Ger­man uni­ver­si­ties that were iden­ti­fied as an “excel­lence uni­ver­sity”. TUD has about 36.500 stu­dents and almost 5319 employees, 507 pro­fes­sors among them, and, thus, is the lar­gest uni­ver­sity in Sax­ony, today.

Having been com­mit­ted to sci­en­ces and the engi­nee­ring before the reuni­fi­ca­tion of Ger­many, TU Dres­den now is a multi-disci­pline uni­ver­sity, also offe­ring huma­nities and social sci­en­ces as well as medi­cine.

Chair (W3) of Exp­lainable Arti­fi­cial Intel­li­gence

Tech­ni­sche Uni­ver­si­tät Dres­den as a Uni­ver­sity of Excel­lence is one of the lea­ding uni­ver­si­ties in Ger­many, and is ran­ked among the 100 most inno­va­tive uni­ver­si­ties world­wide. Its dis­tin­guis­hing fea­ture is a strong focus on rese­arch as well as its diver­si­fied offer of 129 cour­ses of study in Engi­nee­ring Sci­en­ces, Natu­ral Sci­en­ces, Huma­nities & Social Sci­en­ces and Medi­cine.
It pur­sues a long-term over­all deve­lop­ment pro­gramme aimed at making TU Dres­den an inter­na­tio­nal top uni­ver­sity.

At the Faculty of Com­pu­ter Sci­ence, the Insti­tute of Arti­fi­cial Intel­li­gence, for the Clus­ter of Excel­lence “Centre for Tac­tile Inter­net with Human-in-the-Loop” (CeTI), seeks to fill the Chair (W3) of Exp­lainable Arti­fi­cial Intel­li­gence as a stra­te­gic chair at the ear­liest pos­si­ble date.

Work­ing field:

This new chair will sup­port the area of machine lear­ning at the uni­ver­sity and play a cen­tral role in the Clus­ter of Excel­lence CeTI. Rese­arch at CeTI aims at bre­akth­roughs in impro­ving col­la­bo­ra­tion bet­ween humans and machi­nes in real, vir­tual and remote envi­ron­ments. The coope­ra­tion bet­ween humans and machi­nes requi­res a mutual under­stan­ding in order to be able to pre­dict actions, but also to pro­vide insight into decision-making pro­ces­ses when an obser­ved sys­tem beha­viour does not meet expec­ta­ti­ons. It is expec­ted that inter­ac­tions bet­ween man and machine will in future very often be cha­rac­te­ri­sed by machine-lear­ned models. The chair should the­re­fore con­tri­bute in par­ti­cu­lar to the ana­ly­sis of lear­ned models using methods of machine lear­ning, such as deep lear­ning, to making state­ments as well as decisi­ons made on their basis exp­lainable, and to deve­lo­ping new methods of exp­lai­na­bi­lity in machine lear­ning. Poten­tial fields of rese­arch include the for­ma­li­sa­tion of inter­pre­ta­bi­lity, methods for the ana­ly­sis of black-box models, eva­lua­tion of inter­pre­ta­ble models, inter­pre­ta­ble models from unsu­per­vi­sed and rein­force­ment lear­ning, design of algo­rithms for inter­ac­tive machine lear­ning, human-cent­red machine lear­ning as well as sys­tems for online and inter­ac­tive lear­ning.

You will com­pre­hen­si­vely rep­re­sent the field of exp­lainable machine lear­ning in rese­arch and tea­ching. We wish for the future hol­der to play a cen­tral role wit­hin CeTI, close coope­ra­tion wit­hin the Faculty of Com­pu­ter Sci­ence and in the School of Engi­nee­ring Sci­en­ces is desi­red. In addi­tion, the coope­ra­tion with the Faculty of Psy­cho­logy and its rese­arch groups of Cogni­tive Neu­ro­sci­en­ces, as well as with Com­pe­tence Cen­ter for Big Data (ScaDS) and the Cen­ter for Sys­tems Bio­logy Dres­den (CSBD) are inten­ded. Your tea­ching obli­ga­tion for the cur­rent dura­tion of the Clus­ter of Excel­lence will be redu­ced to four hours per week. You will teach cour­ses on machine lear­ning in Ger­man and Eng­lish in all study pro­gram­mes of the Faculty of Com­pu­ter Sci­ence. Addi­tio­nally, we expect your par­ti­ci­pa­tion in tea­ching the foun­da­ti­ons of com­pu­ter sci­ence for stu­dents of com­pu­ter sci­ence and other facul­ties. Your respon­si­bi­li­ties also include par­ti­ci­pa­tion in aca­de­mic self-admi­nis­tra­tion at the faculty and TU Dres­den.

The posi­tion offers an excel­lent envi­ron­ment wit­hin the DFG-fun­ded Clus­ter of Excel­lence. This inclu­des the oppor­tu­nity of inter­di­sci­pli­nary coope­ra­tion with com­pu­ter sci­en­tists, cogni­tive neu­ro­sci­en­tists, psy­cho­lo­gists, mathe­ma­ti­ci­ans and engi­neers as well as access to state-of-the-art tech­no­lo­gies and com­pu­ting infra­st­ruc­tures. Fur­ther infor­ma­tion on the Centre's rese­arch pro­gramme can be found at https://www.ceti.one/.

Require­ments:

We are loo­king for an expert with a pro­ven inter­na­tio­nal track record in machine lear­ning with expe­ri­ence in the rese­arch fields rele­vant to CeTI. We place spe­cial empha­sis on inter­na­tio­nal publi­ca­ti­ons, active par­ti­ci­pa­tion in the Clus­ter of Excel­lence and the inde­pen­dent acqui­si­tion of rese­arch pro­jects in the above-men­tio­ned fields. Excel­lent tea­ching capa­bi­li­ties are assu­med, as well as a habi­li­ta­tion or habi­li­ta­tion-equi­va­lent accom­plish­ments. App­li­cants must ful­fil the employ­ment qua­li­fi­ca­tion requi­re­ments of § 58 of the Act on the Auto­nomy of Insti­tu­ti­ons of Hig­her Edu­ca­tion in the Free State of Sax­ony (SächsHSFG).

How to ap­ply:

For fur­ther ques­tions, please con­tact the Dean of the Fac­ulty of Com­puter Sci­ence, Prof. Dr. Uwe Aßmann, tel. +49 351 463-38215, email: uwe.assmann@tu-dresden.de

TU Dresden seeks to employ more female pro­fess­ors. Hence, we par­tic­u­larly encour­age women to apply. Applic­a­tions from can­did­ates with dis­ab­il­it­ies or those requir­ing addi­tional sup­port are very wel­come. The uni­versity is a cer­ti­fied fam­ily-friendly uni­versity and offers a Dual Career Ser­vice. If you have any ques­tions about these top­ics, please con­tact the Equal Oppor­tun­it­ies Officer of the Fac­ulty of Com­puter Sci­ence (Dr.-Ing. Iris Braun, tel. +49 351 463-38063) or the Rep­res­ent­at­ive of Employ­ees with Dis­ab­il­it­ies (Roberto Lem­m­rich, tel. +49 351 463-33175). CeTI offers an intens­ive onboard­ing pro­gramme for newly appoin­ted staff.

Please sub­mit your applic­a­tion, includ­ing CV, descrip­tion of your sci­entific career, a list of your sci­entific pub­lic­a­tions, and a list of courses taught, res­ults of eval­u­ations (prefer­ably of the last three years) as well as a cer­ti­fied copy of the cer­ti­fic­ate of your highest aca­demic degree as hard copy by 02.11.2020 (stamped arrival date of the uni­versity cent­ral mail ser­vice applies) to: TU Dresden, Dekan der Fak­ultät Inform­atik, Herrn Prof. Dr. Uwe Aßmann, Helm­holtz­str. 10, 01069 Dresden and in elec­tronic form (CD, USB flash drive or via the TU Dresden Secure­Mail Portal https://securemail.tu-dresden.de by send­ing it to dekan.inf@tu-dresden.de).

Ref­er­ence to data pro­tec­tion: Your data pro­tec­tion rights, the pur­pose for which your data will be pro­cessed, as well as fur­ther inform­a­tion about data pro­tec­tion is avail­able to you on the web­site: https: //tu-dresden.de/kar­ri­ere/datens­chutzh­in­weis