Angebot 132 von 231 vom 08.03.2023, 12:40


Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf e.V.

Through cut­ting-edge rese­arch in the fields of ENERGY, HEALTH and MAT­TER, Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf (HZDR) sol­ves some of the press­ing soci­etal and indus­trial chal­len­ges of our time. Join our 1.500 employ­ees from more than 50 nati­ons at one of our six rese­arch sites and help us mov­ing rese­arch to the next level!

The Cen­ter for Advan­ced Sys­tems Under­stand­ing (CASUS) is a Ger­man-Pol­ish rese­arch cen­ter for data-intens­ive digi­tal sys­tems rese­arch. CASUS was foun­ded in 2019 in Görl­itz and con­ducts digi­tal inter­dis­cip­lin­ary sys­tems rese­arch in vari­ous fields such as earth sys­tems rese­arch, sys­tems bio­logy and mater­i­als rese­arch.

Nat­ural Lan­guage Pro­ces­sing has sub­stan­tially impro­ved deep learn­ing on lan­guage and our under­stand­ing on lin­guist­ics due to unpre­ced­en­ted pos­sib­il­it­ies for text ana­lysis. In a col­lab­or­a­tion bet­ween the TU Dres­den and CASUS we use trans­for­mer based deep learn­ing algo­rithms that treat gen­omes as text. The pro­ject will encom­pass the train­ing of task-agnostic lan­guage mod­els and use these to extract lan­guage rules and bio­lo­gical mean­ing, such as how gen­ome sta­bil­ity is encoded in the gen­ome.

To streng­t­hen our diverse team, we are look­ing for a

Post­doc­toral Rese­ar­cher (f/m/d) on Deep Learn­ing Lan­guage Mod­els of DNA


The pos­i­tion is ini­tially lim­ited to three years. The pos­i­tion will be mainly loc­ated in Dres­den (Ger­many), embed­ded in the team of Anna Poe­tsch at the Bio­tech­no­logy Cen­ter of the TU Dres­den and in close inter­ac­tion with CASUS in Görl­itz (Ger­many).

Working field:

  • Pro­gram­ming of trans­for­mer based deep learn­ing algo­rithms (in Python) on gen­omic data
  • Data ana­lysis of gen­omic data, atten­tion, and learn­ing para­met­ers
  • Design of deep learn­ing tasks to inter­rog­ate ques­tions of gen­ome bio­logy
  • Col­lab­or­a­tion in the rese­arch team on other ques­tions of machine learn­ing, func­tio­nal gen­om­ics, gen­ome insta­bil­ity
  • Super­vi­sion of junior lab mem­bers
  • Pre­sent­a­tion and pub­lic­a­tion of res­ults


  • PhD degree at a rel­ev­ant field, such as Molecu­lar Bio­logy, Com­pu­ta­tio­nal Bio­logy, Bioin­form­at­ics, Genet­ics, Com­puter Sci­ence, Math­em­at­ics, Lin­guist­ics, or equi­val­ent sci­ent­i­fic back­ground
  • Com­pre­hens­ive exper­i­ence with pro­gram­ming in python
  • Exper­i­ence in using machine learn­ing algo­rithms
  • Com­pre­hens­ive know­ledge of gen­ome bio­logy
  • Exper­i­ence in writ­ing sci­ent­i­fic pub­lic­a­tions
  • Pre­vi­ous know­ledge in DNA repair, gen­ome (in)sta­bil­ity or can­cer gen­om­ics or evol­u­tion­ary gen­om­ics would be an asset
  • Pre­vi­ous exper­i­ence work­ing in an inter­na­tio­nal and inter­dis­cip­lin­ary envir­on­ment is a plus
  • Know­ledge of the Ger­man lan­guage is not requi­red, but very good com­mu­nic­a­tion skills in Eng­lish

What we offer:

  • A vibrant rese­arch com­munity in an open, diverse and inter­na­tio­nal work envir­on­ment 
  • Sci­ent­i­fic excel­lence and extens­ive pro­fes­sio­nal net­work­ing oppor­tun­it­ies
  • A wide range of qual­i­fic­a­tion oppor­tun­it­ies and indi­vidual career coun­sel­ing pro­vi­ded by the Post­doc Cen­ter HZDR-TUD
  • Salary and social bene­fits in accord­ance with the col­lect­ive agree­ment for the pub­lic sec­tor (TVöD-Bund) includ­ing 30 days of paid hol­i­day leave, com­pany pen­sion scheme (VBL)
  • We sup­port a good work-life bal­ance with the pos­sib­il­ity of part-time employ­ment and flex­ible work­ing hours
  • Numer­ous com­pany health man­age­ment offer­ings

How to apply:

Kindly sub­mit your com­ple­ted app­lic­a­tion (includ­ing cover let­ter, CV, dip­lo­mas/tran­scripts, etc.) only via our Online-app­lic­a­tion-sys­tem:!BewerbungS1?pNid=490&pJid=1573&pLang=en