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Offer 475 out of 584 from 05/11/21, 10:15

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Tech­ni­sche Uni­ver­si­tät Dres­den - Faculty of Phy­sics - Insti­tute of Nuclear and Par­ti­cle Phy­sics

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 / PhD Stu­dent (m/f/x)

At TU Dres­den, Faculty of Phy­sics, Insti­tute of Nuclear and Par­ti­cle Phy­sics offers, sub­ject to the avai­la­bi­lity of resour­ces, a posi­tion as

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

star­ting on Febru­ary 1, 2022. The posi­tion ent­ails 50% of the full­time wee­kly hours in the first year and 67,5% in the fol­lo­wing years and is initi­ally limi­ted until Janu­ary 31, 2025. 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).

The envi­sa­ged rese­arch will take place in the ATLAS rese­arch group led by Prof. Dr. Arno Stra­ess­ner and will be part of the Natio­nal Rese­arch Data Infra­st­ruc­ture con­sor­tium PUNCH4NFDI. The ATLAS Dres­den group has a long-term expe­ri­ence in phy­sics ana­ly­sis of pro­ton-pro­ton col­li­si­ons, detec­tor deve­lop­ment for the ATLAS liquid-argon calo­ri­me­ters, and app­li­ca­ti­ons of machine lear­ning to detec­tor signal pro­ces­sing and to data ana­ly­sis.

Working field:

  • deve­lop­ment of machine lear­ning approa­ches for the signal pro­ces­sing and energy recon­struc­tion of the ATLAS liquid-argon calo­ri­me­ters;
  • explo­ra­tion of ano­maly detec­tion for phy­sics app­li­ca­ti­ons and for data qua­lity assurance;
  • trans­fer of machine lear­ning solu­ti­ons to Field Pro­gramm­a­ble Gate Arrays (FPGAs) and con­tri­bu­tion to a gene­ral machine lear­ning library for real-time pro­ces­sing on FPGAs;
  • regu­lar visits to CERN for col­la­bo­ra­tive work will be pos­si­ble.

Requirements:

  • very good uni­ver­sity degree (Mas­ter's or equi­va­lent) with a spe­cia­li­za­tion in the area of par­ti­cle phy­sics;
  • rese­arch expe­ri­ence rela­ted to signal pro­ces­sing or advan­ced data ana­ly­sis or machine lear­ning, to FPGA pro­gramming using VHDL or High Level Syn­the­sis tools, or equi­va­lent exper­tise;
  • high moti­va­tion to join the detec­tor deve­lop­ment and machine lear­ning activi­ties in the ATLAS expe­ri­ment and to trans­fer these solu­ti­ons to other par­ti­cle phy­sics and astro­phy­sics expe­ri­ments.

For fur­ther infor­ma­tion about the posi­tion, you are invi­ted to con­tact arno.straessner@tu-dresden.de.

How to apply:

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

Please sub­mit your com­pre­hen­sive app­li­ca­tion inclu­ding a Cur­ri­cu­lum Vitae, a brief pro­po­sal describ­ing your rese­arch expe­ri­ence and inte­rests, an offi­cial tran­script of cour­se­work and gra­des and recom­men­da­tion let­ters by two refe­rees until Decem­ber 3, 2021 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vices app­lies) pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal https://securemail.tu-dresden.de by sen­ding it as a sin­gle pdf docu­ment to nicole.schmidt3@tu-dresden.de or by mail to TU Dres­den, Fakul­tät Phy­sik, Insti­tut für Kern- und Teil­chen­phy­sik, z. H. Frau Nicole Schmidt, Helm­holtz­str. 10, 01069 Dres­den. 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.