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Angebot 60 von 232 vom 21.01.2023, 00:00

logologo

Tech­ni­sche Uni­ver­si­tät Dres­den - Faculty of Com­pu­ter Sci­ence, Insti­tute of Sys­tems Archi­tec­ture, Chair of Sys­tems Engi­nee­ring

Tech­ni­sche Uni­ver­si­tät Dres­den (TUD), as a Uni­ver­sity of Excel­lence, is one of the lea­ding and most dyna­mic rese­arch insti­tu­ti­ons in the coun­try. Foun­ded in 1828, today it is a glo­bally ori­en­ted, regio­nally ancho­red top uni­ver­sity as it focu­ses on the grand chal­len­ges of the 21st cen­tury. lt deve­lops inno­va­tive solu­ti­ons for the world's most pres­sing issues. In rese­arch and aca­de­mic pro­grams, the uni­ver­sity unites the natu­ral and engi­nee­ring sci­en­ces with the huma­nities, social sci­en­ces and medi­cine. This wide range of disci­pli­nes is a spe­cial fea­ture, faci­li­ta­ting inter­di­sci­pli­na­rity and trans­fer of sci­ence to society. As a modern employer, it offers attrac­tive working con­di­ti­ons to all employees in tea­ching, rese­arch, tech­no­logy and admi­nis­tra­tion. The goal is to pro­mote and deve­lop their indi­vi­dual abi­li­ties while empowering ever­yone to reach their full poten­tial. TUD embo­dies a uni­ver­sity cul­ture that is cha­rac­te­ri­zed by cos­mo­po­li­ta­nism, mutual appre­cia­tion, thri­ving inno­va­tion and active par­ti­ci­pa­tion.

For TUD 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/ PhD Stu­dent/ Post­doc (m/f/x)

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­ted accord­ing to salary group E 13 TV-L)

The posi­tion is star­ting at March 1, 2023 and ending the Decem­ber 31, 2025 with the option of exten­sion wit­hin fol­lo­wing pro­jects, sub­ject to the avai­la­bi­lity of resour­ces. 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 or habi­li­ta­tion the­sis).
The Chair of Sys­tems Engi­nee­ring is con­duc­ting rese­arch in the EU third-party fun­ded pro­ject NEAR­DATA.

Working field:

NEAR­DATA
The main goal is to design an extreme near-data plat­form to enable con­sump­tion, mining and pro­ces­sing of dis­tri­bu­ted and fede­r­a­ted data wit­hout nee­ding to mas­ter the logistics of data access across hete­ro­ge­ne­ous data loca­ti­ons and pools. We go bey­ond tra­di­tio­nal pas­sive or bulk data inge­sted from sto­rage sys­tems towards next genera­tion near-data pro­ces­sing plat­forms both in the Cloud and in the Edge. In our plat­form, Extreme Data inclu­des both meta­data and trust­worthy data con­nec­tors enab­ling advan­ced data manage­ment ope­ra­ti­ons like data dis­co­very, mining, and fil­te­ring from hete­ro­ge­ne­ous data sources.

Tasks: Inde­pen­dent rese­arch in the field of the chair, espe­ci­ally in the field of cloud com­pu­ting and con­fi­den­tial com­pu­ting. In this con­text, the main rese­arch areas include the deve­lop­ment of soft­ware com­pon­ents wit­hin the NEAR­DATA-pro­ject. The deve­lop­ment, publi­ca­tion and pre­sen­ta­tion of sci­en­ti­fic publi­ca­ti­ons at natio­nal and inter­na­tio­nal con­fe­ren­ces as well as jour­nals are expec­ted.

Requirements:

very good uni­ver­sity degree (M.Sc., Dipl.) in Com­pu­ter Sci­ence or rela­ted fields and – if app­li­ca­ble- PhD degree; strong skills in dis­tri­bu­ted sys­tems; abi­lity to work inde­pendently and pur­po­se­fully in a team; inte­rest in inter­di­sci­pli­nary coope­ra­tion in all areas of com­pu­ter sci­ence as well as with indus­trial part­ners; flu­ency in Eng­lish-writ­ten and oral; an inte­gra­tive and coope­ra­tive per­so­na­lity with excel­lent com­mu­ni­ca­tion and social skills; high enga­ge­ment. We search for a per­so­na­lity having prac­ti­cal expe­ri­en­ces with various pro­gramming lan­guages and con­cepts.

What we offer:

You join a team of enthu­si­astic sci­en­tists who crea­tively pur­sue their indi­vi­dual rese­arch work.

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.
Your app­li­ca­tion (in Eng­lish only) should include: moti­va­tion let­ter, CV, copy of degree cer­ti­fi­cate and proof of Eng­lish lan­guage skills. Com­plete app­li­ca­ti­ons should be sub­mit­ted pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal https://securemail.tu-dresden.de by sen­ding it as a sin­gle pdf docu­ment quo­ting the refe­rence: “NEAR­DATA” in the sub­ject hea­der to se@mailbox.tu-dresden.de or via mail to TU Dres­den, Fakul­tät Infor­ma­tik, Insti­tut für Sys­tem­ar­chi­tek­tur, Pro­fes­sur für Sys­tems Engi­nee­ring, Herrn Prof. Dr. Chris­tof Fet­zer, Helm­holtz­str. 10, 01069 Dres­den, Ger­many. The clo­sing date for app­li­ca­ti­ons is Febru­ary 1, 2023 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies). 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.