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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 Depart­ment of Earth Sys­tem Sci­ence at CASUS is look­ing for a

PostDoc (f/m/d) in spa­tial data sci­ence and GIS

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 depart­ment tack­ling spa­tially expli­cit prob­lems in the areas of move­ment eco­logy, riv­er­ine biod­iversity, and epi­demi­ology. In par­tic­u­lar, the postdoc (f/m/d) will develop research pro­jects in any (or mul­tiple) of the above-men­tioned research areas that are con­sist­ent with the depart­ment’s goals. Fur­ther­more, the postdoc (f/m/d) will col­lab­or­ate with other depart­ment mem­bers to sup­port ongo­ing research in spa­tial eco­logy and spa­tial epi­demi­ology.

Working field:

  • Per­form spa­tial stat­ist­ical ana­lyses on diverse eco­lo­gical, epi­demi­olo­gical and remotely sensed data­sets
  • Write code to auto­mate large-scale spa­tial ana­lyses and GIS tasks
  • Develop novel spa­tial ana­lysis meth­ods as needed across a range of eco­lo­gical sub­ject areas
  • Man­age and extend a global-scale, spa­tially-ref­er­enced data­base includ­ing animal track­ing data, spe­cies occur­rence records, epi­demi­olo­gical data and rel­ev­ant cov­ari­ates
  • Lead research pro­jects in the can­did­ate’s core areas of expert­ise
  • Col­lab­or­ate with other depart­ment mem­bers on geo­spa­tial ana­lysis, map­ping and spa­tial data man­age­ment tasks
  • Pub­lish res­ults in aca­demic, peer-reviewed journ­als and present res­ults at sci­entific meet­ings


  • PhD degree in spa­tial eco­logy, spa­tial stat­ist­ics, geo­graphy, remote sens­ing, envir­on­mental sci­ence, car­to­graphy or a related field
  • Strong back­ground in spa­tial stat­ist­ics and data sci­ence
  • Exper­i­ence work­ing with large, spa­tially ref­er­enced data­sets
  • Flu­ency with GIS soft­ware (e.g., Arc­GIS Desktop, Arc­GIS Pro, QGIS)
  • Advanced pro­gram­ming skills in mod­ern data sci­ence lan­guages (R, Python, or Julia), includ­ing pack­ages/exten­sions for work­ing with spa­tial data
  • Exper­i­ence in extract­ing spa­tial mod­el­ing inputs (e.g., envir­on­mental cov­ari­ates) from remotely-sensed data
  • Excel­lent com­mu­nic­a­tion skills in Eng­lish in a pro­fes­sional con­text (present­a­tion of research res­ults at sci­entific meet­ings, col­lo­quial dis­cus­sions, manuscript writ­ing)
  • Evid­ence of the abil­ity to pub­lish res­ults in top peer-reviewed journ­als
  • Exper­i­ence work­ing with Post­gr­eSQL data­bases and the Post­GIS exten­sion thereof is advant­age­ous 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=1631&pLang=en