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Tech­ni­sche Uni­ver­si­tät Dres­den - Cen­ter for Inter­di­sci­pli­nary Digi­tal Sci­en­ces im Depart­ment ScaDS.AI

As part of the Ger­man government's arti­fi­cial intel­li­gence (AI) stra­tegy, the suc­cess­ful Saxon com­pe­tence cen­ter ScaDS.AI Dres­den/Leip­zig (Cen­ter for Scala­ble Data Ana­ly­tics and Arti­fi­cial Intel­li­gence) is being expan­ded into a lea­ding Ger­man AI com­pe­tence cen­ter for Big Data and arti­fi­cial intel­li­gence (AI). For Tech­ni­sche Uni­ver­si­tät Dres­den diver­sity is an essen­tial fea­ture and a qua­lity cri­ter­ion of an excel­lent uni­ver­sity. Accord­in­gly, we wel­come all app­li­cants who would like to com­mit them­sel­ves, their achie­ve­ments and pro­duc­tivity to the suc­cess of the whole insti­tu­tion.

Rese­arch Asso­ciate (m/f/x)

At the Cen­ter for Inter­di­sci­pli­nary Digi­tal Sci­en­ces, the Depart­ment ScaDS.AI is offe­ring for this pur­pose the posi­tion ScaDS-22.1 star­ting as soon as pos­si­ble as a

Rese­arch Asso­ciate (m/f/x)
(sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­ted accord­ing to salary group E 13 TV-L)

limi­ted to 3 years with the option for exten­sion. The period of employ­ment is gover­ned by the Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz - WissZeitVG). The posi­tion offers the chance to obtain fur­ther aca­de­mic qua­li­fi­ca­tion. Balan­cing family and career is an important issue. The posi­tion is gene­rally sui­ta­ble for can­di­da­tes see­king part-time employ­ment. Please indi­cate your request in your app­li­ca­tion.
Pro­fes­sio­nal assign­ment: Chair of App­lied Sto­chastics (Prof. Dr. rer. nat. habil. Anita Behme) and Chair of Pro­ba­bi­lity Theory (Prof. Dr. rer. nat. René Schil­ling)
Rese­arch area: app­li­ca­ti­ons of AI in sto­chastic pro­ces­ses, e.g. sta­tis­tics of sto­chastic pro­ces­ses

Working field:

rese­arch on the sta­tis­ti­cal ana­ly­sis of (clus­ters) of extreme values of a sto­chastic pro­cess in con­ti­nuous time; pre­sen­ta­tion and publi­ca­tion of rese­arch results in Eng­lish; admi­nis­tra­tive sup­port in run­ning the pro­ject, e.g. orga­ni­za­tion of work­shops, repor­ting. There will be the pos­si­bi­lity to offer lec­tures in one’s own rese­arch field.

Requirements:

very good uni­ver­sity degree in mathe­ma­tics and PhD in mathe­ma­tics or com­pu­ter sci­ence; strong sci­en­ti­fic back­ground in at least one of the fol­lo­wing areas: theory of AI, app­li­ca­ti­ons of AI in the sci­en­ces, sta­tis­tics of sto­chastic pro­ces­ses, theory of sto­chastic pro­ces­ses; abi­lity and wil­ling­ness for inter­di­sci­pli­nary coope­ra­tion; very good com­mand of writ­ten and spo­ken Eng­lish.

How to apply:

TUD stri­ves to employ more women in aca­de­mia and rese­arch. We the­re­fore expressly encou­rage women to apply. The Uni­ver­sity is a cer­ti­fied family-fri­endly uni­ver­sity and offers a Dual Career Ser­vice. We wel­come app­li­ca­ti­ons from can­di­da­tes with disa­bi­li­ties. If mul­ti­ple can­di­da­tes prove to be equally qua­li­fied, those with disa­bi­li­ties or with equi­va­lent sta­tus pur­suant to the Ger­man Social Code IX (SGB IX) will receive prio­rity for employ­ment.
Please sub­mit your com­pre­hen­sive app­li­ca­tion inclu­ding the usual docu­ments, quo­ting the job num­ber ScaDS-22.1 by March 30, 2023 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies), pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal https://securemail.tu-dresden.de by sen­ding it as a sin­gle pdf docu­ment to scads.ai@tu-dresden.de or to: TU Dres­den, CIDS, Herrn Prof. Dr. Wolf­gang E. Nagel, Helm­holtz­str. 10, 01069 Dres­den, Ger­many. Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you. Expen­ses incur­red in atten­ding inter­views can­not be reim­bur­sed.

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.