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Offer 428 out of 561 from 11/11/22, 13:25

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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.

CASUS together with the Helm­holtz Cen­ter for Envir­on­mental Research (UFZ) invites applic­a­tions as

PostDoc (f/m/d) scal­ing hyper­spec­tral data to quantify essen­tial eco­sys­tem vari­ables

The pos­i­tion will be avail­able at the earli­est pos­sible date. The employ­ment con­tract is lim­ited to three years. The places of work will be Görl­itz and Leipzig.

The pos­i­tion is embed­ded in a pro­ject which aims to bridge scale gaps by integ­rat­ing multi-scale data through multi-scale end­mem­ber extrac­tion and unmix­ing, and by using gen­er­at­ive deep learn­ing meth­ods to enhance the res­ol­u­tion of adja­cent low res­ol­u­tion satel­lite or air­borne data.

Within the scope of the advert­ised pos­i­tion, eco­lo­gical applic­a­tions of UAV hyper­spec­tral map­ping and super-res­ol­u­tion approaches will be developed and bench­marked for quan­ti­fy­ing essen­tial eco­sys­tem vari­ables to enable extra­pol­a­tion of con­tinu­ous ground or tower meas­ure­ments over entire eco­sys­tems and lar­ger regions. The research work is car­ried out in close cooper­a­tion with CASUS and the Helm­holtz Insti­tute Freiberg for Resource Tech­no­logy (HIF).

Working field:

  • Devel­op­ment of core­gistered UAV, air­borne and satel­lite train­ing data­sets in Ger­many across dif­fer­ent land use types
  • Char­ac­ter­isa­tion and devel­op­ment of a stand­ard­ized ground-truth­ing of key essen­tial eco­sys­tem vari­ables (EEVs) such as Leaf Area Index (LAI), Gross Primary Pro­duc­tion (GPP)
  • Auto­mated map­ping (LAI, GPP, evapo­tran­spir­a­tion, etc.) based on these hyper­spec­tral data at the UAV, air­borne and satel­lite scale
  • Quan­ti­fic­a­tion of scale effects on remotely sensed eco­sys­tem attrib­utes related to the foot­prints of loc­ally derived EEVs
  • Link­ing the research at the host­ing insti­tu­tions, includ­ing repeated vis­its at each insti­tute
  • Open-source pub­lic­a­tion of data and pro­cessing pro­ced­ures
  • Pub­lic­a­tion of res­ults in high qual­ity journ­als

Requirements:

  • PhD in remote sens­ing, eco­logy, earth sci­ence or related fields
  • Exper­i­ence in UAV sur­vey­ing and data pro­cessing in an eco­lo­gical con­text and/or hyper­spec­tral data ana­lysis
  • Will­ing­ness to closely cooper­ate with other research­ers in pro­ject
  • Optional: Exper­i­ence with machine learn­ing and data sci­ence meth­ods, python pro­gram­ming, forest eco­logy

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
  • The employ­ment con­tract is lim­ited to three years
  • 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: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=67600
By sub­mit­ting your applic­a­tion, you are agree that all organ­isa­tions involved in the pro­ject have access to your applic­a­tion doc­u­ments.