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Tech­ni­sche Uni­ver­si­tät Dres­den - Faculty of Com­pu­ter Sci­ence, Insti­tute of Soft­ware and Mul­ti­me­dia Tech­no­logy, Chair of Com­pu­ter Gra­phics and Visua­li­sa­tion

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.

Rese­arch Asso­ciate

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­n­e­ra­ted accord­ing to salary group E 13 TV-L)
The posi­tion is to be fil­led as soon as pos­si­ble and will be offe­red till 31st of May 2020. 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 (e.g. PhD).

Work­ing field:

Rese­arch focu­ses on Com­pu­ter Vision and Com­pu­ter Gra­phics wit­hin the inter­di­sci­pli­nary rese­arch pro­ject “SePIA”. The main task of the pro­ject is the deve­lop­ment of a cata­log of cri­ti­cal traf­fic situa­ti­ons that can serve as the foun­da­tion of appro­val pro­ce­du­res for auto­no­mous vehi­cles. For this video data of natu­ral dri­ving situa­ti­ons are ana­ly­zed with respect to cri­ti­cal situa­ti­ons. The task of our Chair is the seman­tic ana­ly­sis of video data and the 3D-recon­struc­tion of cri­ti­cal traf­fic situa­ti­ons. Wit­hin your work you will design and imple­ment a sys­tem for video ana­ly­sis that allows ana­ly­sis of dif­fe­rent data sets with the best state of the art methods and sup­ports the export of results in for­mats sui­ta­ble for the pro­ject part­ners.

Require­ments:

Excel­lent uni­ver­sity degree (Mas­ter or equi­va­lent) in the field of Com­pu­ter Sci­ence, Pho­to­gram­me­try, Mea­su­re­ment Tech­no­logy or simi­lar fields; ability to work inde­pendently and tar­get-ori­en­ted in a team, high com­mit­ment, flu­ent in Eng­lish lan­guage to write excel­lent papers and to par­ti­ci­pate in inter­na­tio­nal con­fe­ren­ces, inte­rest in prac­tice-ori­en­ted and inter­di­sci­pli­nary coope­ra­tion with part­ners, know­ledge in seman­tic video ana­ly­sis, 3D recon­struc­tion as well as in the imple­men­ta­tion with C++ and of GPUs is advan­ta­ge­ous.

What we of­fer:

a diver­si­fied and chal­len­ging rese­arch posi­tion to work on a hot topic of com­pu­ter vision rese­arch inside an inter­di­sci­pli­nary team of young rese­ar­chers, par­ti­ci­pa­tion in con­fe­ren­ces for rese­arch exch­ange, excel­lent con­tacts to part­ners from rese­arch and indus­try, and an inde­pen­dent orga­niza­t­ion of your rese­arch work.

How to ap­ply:

App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.
App­li­ca­ti­ons inclu­ding CV, a short sum­mary of Mas­ter the­sis and a state­ment of rese­arch inte­rest should be sent until 04.09.2017 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies) as sin­gle pdf-docu­ment via e-mail in an elec­tro­ni­cally signed and encryp­ted form to stefan.gumhold@tu-dresden.de or to TU Dres­den, Fakul­tät Infor­ma­tik, Insti­tut für Soft­ware- und Mul­ti­me­dia­tech­nik, Pro­fes­sur für Com­pu­ter­gra­phik und Visua­li­sie­rung, Herrn Prof. Dr. Ste­fan Gum­hold, 01062 Dres­den, Ger­many. Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you. Expen­ses incur­red in atten­ding inter­views can­not be reim­bur­sed.