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Angebot 251 von 409 vom 17.11.2022, 11:22

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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 invites applic­a­tions as

PostDoc (f/m/d) machine learn­ing and super­res­ol­u­tion for multi-scale hyper­spec­tral remote sens­ing

The pos­i­tion will be avail­able at the earli­est pos­sible date. The employ­ment con­tract is lim­ited to three years.

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, deep super-res­ol­u­tion tech­niques will be developed and tested to extra­pol­ate high-res­ol­u­tion UAV hyper­spec­tral data across areas covered only by air­borne or satel­lite data. The Post-Doc will be hos­ted at CASUS and work in close cooper­a­tion with the Helm­holtz-Insti­tute Freiberg for Resource Tech­no­logy (HZDR-HIF) and Helm­holtz Cen­ter for Envir­on­mental Research (UFZ).

Working field:

  • Devel­op­ment of core­gistred UAV, air­borne and satel­lite train­ing data­sets in Ger­many and Spain
  • Bench­mark­ing of exist­ing super-res­ol­u­tion approaches
  • Devel­op­ment of novel ML based super-res­ol­u­tion approaches to extra­pol­ate high res­ol­u­tion UAV data across regions covered only by satel­lite or air­borne data
  • Design and pub­lic­a­tion of an open-source python-based tool­box for hyper­spec­tral super­res­ol­u­tion
  • 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 machine learn­ing, image pro­cessing, remote sens­ing, or related fields
  • Exper­i­ence in super-res­ol­u­tion ima­ging, gen­er­at­ive adversarial net­works and deep machine learn­ing plat­forms (e.g., Tensor­Flow, PyT­orch)
  • Will­ing­ness to closely cooper­ate with other research­ers in pro­ject
  • Optional: Exper­i­ence within the fields of remote sens­ing, earth-sci­ence or 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=67566