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Tech­ni­sche Uni­ver­si­tät Dres­den - School of Embed­ded Com­po­site AI (SECAI)

Die TU Dres­den ist eine der elf Exzel­len­z­u­ni­ver­sitä­ten Deut­sch­lands. Als Voll­u­ni­ver­sität mit brei­tem Fächer­spek­trum zählt sie zu den for­schungs­s­tärks­ten Hoch­schu­len. Aus­tau­sch und Koope­ra­tion zwi­schen den Wis­sen­schaf­ten, mit Wirt­schaft und Gesell­schaft sind dafür die Grund­lage. Ziel ist es, im Wett­be­werb der Uni­ver­sitä­ten auch in Zukunft Spit­zen­plätze zu bele­gen. Daran und am Erfolg beim Trans­fer von Grund­la­gen­wis­sen und For­schung­s­er­geb­nis­sen mes­sen wir unsere Leis­tun­gen in Lehre, Stu­dium, For­schung und Wei­ter­bil­dung. Wis­sen schafft Brü­cken. Seit 1828.

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

The School of Embed­ded Com­po­site AI (SECAI), a DAAD Kon­rad Zuse School of Excel­lence in Arti­fi­cial Intel­li­gence in coope­ra­tion with Leip­zig Uni­ver­sity offers ele­ven posi­ti­ons as

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

star­ting as soon as pos­si­ble. The posi­ti­ons are limi­ted for 3 years. The period of employ­ment is gover­ned by the Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz-WissZeitVG). The posi­ti­ons aim at obtai­ning fur­ther aca­de­mic qua­li­fi­ca­tion (e.g. PhD). Balan­cing family and career is an important issue. The posi­ti­ons are gene­rally sui­ta­ble for can­di­da­tes see­king part-time employ­ment. Please indi­cate your request in your app­li­ca­tion.

Working field:

Topics and Work Loca­tion: Rese­ar­chers of several disci­pli­nes are col­la­bo­ra­ting in SECAI on advan­cing AI. The spec­trum of avail­able topics ran­ges from core areas of com­pu­ter sci­ence and elec­tro­nics over medi­cal app­li­ca­ti­ons to socie­tal aspects of AI. SECAI’s main rese­arch focus areas are:
  • Com­po­site AI: How can machine lear­ning and sym­bo­lic AI methods be com­bi­ned?
  • AI Com­pute Para­digms: How will future AI hard­ware look and how will it be used?
  • Intel­li­gent Medi­cal Devices: How can AI advance cyber­me­di­cal sys­tems?
  • AI Methods for Health: How can AI methods sup­port the­rapy and dia­gnos­tis?
  • Socie­tal Frame­work of AI: How can AI become trust­worthy and free of legal risks?
The loca­tion of work (Dres­den or Leip­zig) depends on the topic assi­gned for each posi­tion. Infor­ma­tion about the avail­able topics and super­vi­sors can be found at https://secai.org/topics/.

Tasks: As a mem­ber of the SECAI gra­duate school, you are ans­we­ring chal­len­ging rese­arch ques­ti­ons under the super­vi­sion of lea­ding rese­ar­chers and tog­e­ther with other teams’ mem­bers from Dres­den and Leip­zig. You deve­lop your own rese­arch pro­file, publish and pre­sent your fin­dings are inter­na­tio­nal venues, and net­work with the inter­na­tio­nal rese­arch com­mu­nity.

Oppor­tu­nities: SECAI offers a first-class envi­ron­ment for advan­cing your career. You can work with inter­na­tio­nally renow­ned rese­ar­chers and bene­fit from the school’s strong net­works in indus­try and rese­arch. The gra­dua­tion of highly qua­li­fied rese­ar­chers is a cen­tral pro­ject goal in SECAI and doc­to­ral stu­dents receive strong sup­port for their pro­fes­sio­nal and per­so­nal deve­lop­ment.

Requirements:

Very good rese­arch-ori­en­ted uni­ver­sity degree in a disci­pline that is rele­vant to SECAI’s rese­arch fields (e.g., com­pu­ter sci­ence, mathe­ma­tics, elec­tro­nics, medi­cal devices, bio­in­for­ma­tics, or law); flu­ency in Eng­lish. Crea­ti­vity, taking plea­sure in rese­arch, and a sense for rese­arch qua­lity and ethi­cal beha­vior in rese­arch are an advan­tage. Please spe­cify for which of the topics found at https://secai.org/topics/ you would like to apply.

How to apply:

App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.

Please sub­mit your com­pre­hen­sive app­li­ca­tion inclu­ding the usual docu­ments by Sep­tem­ber 9, 2022 (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 markus.kroetzsch@tu-dresden.de or to: TU Dres­den, Fakul­tät Infor­ma­tik, Insti­tut für Theo­re­ti­sche Infor­ma­tik, Pro­fes­sur für Wis­sens­ba­sierte Sys­teme, Herrn Prof. Dr. Mar­kus Krötzsch, Helm­holtz­str. 10, 01069 Dres­den, Ger­many. Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you. Expen­ses incur­red in atten­ding inter­views can be reim­bur­sed upon prior invi­ta­tion.

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.