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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)

At the Fac­ulty of Com­puter Sci­ence, Insti­tute of Sys­tems Archi­tec­ture, the Chair of Sys­tems Engin­eer­ing (www.inf.tu-dresden.de/sya/se) offers three pos­i­tions as

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

start­ing at Feb­ru­ary 1, 2023 and end­ing the Octo­ber 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.

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.

Working field:

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 christof.fetzer@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 Decem­ber 1, 2022 (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.