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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.

To strengthen our diverse team, the Young Invest­ig­ator Group on Dynam­ics of Com­plex Liv­ing Sys­tems at CASUS is look­ing for a

PostDoc (f/m/d) in math­em­at­ical mod­el­ing of animal-animal and animal-vehicle inter­ac­tions

The pos­i­tion will be avail­able at the earli­est pos­sible date. The employ­ment con­tract is lim­ited to two years with the pos­sib­il­ity of longer-term pro­spects.

The suc­cess­ful can­did­ate (f/m/d) will be part of an inter­dis­cip­lin­ary team study­ing how animal per­cep­tion and range-res­id­ent move­ment beha­vior determ­ine the encounter stat­ist­ics of anim­als with other indi­vidu­als and land­scape fea­tures. In par­tic­u­lar, the postdoc will develop a new fam­ily of move­ment mod­els incor­por­at­ing animal per­cep­tion and ana­lyze their cor­res­pond­ing encounter stat­ist­ics.

Working field:

  • Incor­por­ate indi­vidual per­cep­tion into exist­ing mod­els for animal move­ment
  • Derive encounter stat­ist­ics for such mod­els con­sid­er­ing both encoun­ters between pairs of anim­als and between anim­als and land­scape fea­tures, such as roads and fences (Mar­tinez-Gar­cia et al., J. Theor. Biol. 2020, Noonan et al., Meth­ods Ecol. Evol. 2021)
  • Work closely with our extens­ive net­work of inter­na­tional col­lab­or­at­ors (Uni­versity of Mary­land, USA; Uni­versity of Brit­ish Columbia, Canada) and local research­ers at the CASUS Earth Sys­tem Sci­ence Research Team
  • Pub­lish res­ults in aca­demic, peer-reviewed journ­als
  • Present res­ults at sci­entific meet­ings


  • PhD degree in a rel­ev­ant field such as phys­ics, applied math­em­at­ics, quant­it­at­ive eco­logy, or a related field
  • Excel­lent pro­gram­ming skills in at least one of the fol­low­ing pro­gram­ming lan­guages: Python, R, Julia, For­tran, C/C++
  • Advanced know­ledge of stochastic cal­cu­lus and com­pu­ta­tional meth­ods to sim­u­late stochastic pro­cesses
  • Evid­ence of the abil­ity to pub­lish res­ults in top peer-reviewed journ­als
  • Strong motiv­a­tion to work in a col­lab­or­at­ive and mul­tidiscip­lin­ary envir­on­ment
  • Excel­lent com­mu­nic­a­tion skills in Eng­lish and in a pro­fes­sional con­text (present­a­tion of research res­ults at sci­entific meet­ings, col­lo­quial dis­cus­sions, writ­ing of manuscripts)
  • Pre­vi­ous exper­i­ence work­ing on first pas­sage prob­lems is a plus but not required
  • Pre­vi­ous exper­i­ence work­ing with track­ing data is a plus but not required

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, mobile work­ing and flex­ible work­ing hours
  • Numer­ous com­pany health man­age­ment offer­ings
  • Employee dis­counts with well-known pro­viders via the plat­form Cor­por­ate Bene­fits

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=1632&pLang=en