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Tech­ni­sche Uni­ver­sität Ber­lin - Fakul­tät VI - Insti­tut für Land­schafts­ar­chi­tek­tur und Umwelt­pla­nung/ FG Geo­in­for­ma­tion in der Umwelt­pla­nung

Research Assist­ant - PostDoc - salary grade E 13 TV-L Ber­liner Hoch­schu­len

under the reserve that funds are gran­ted - part-time employ­ment may be pos­sible

UWI is research train­ing group (RTG) at Tech­nis­che Uni­versität Ber­lin (TUB) and Leib­niz Insti­tute of Fresh­wa­ter Eco­logy and Inland Fish­er­ies (IGB) of engin­eers and nat­ural sci­ent­ists focus­ing on urban water inter­faces which will play key roles in the urban water cycle. The pro­cesses and fluxes across inter­faces are highly com­plex and their cur­rent under­stand­ing is not­ably incom­plete.
Over the last years, the study of hydro­lo­gical pro­cesses using remote sens­ing tech­niques has advanced greatly with the launch of new sensors and with the devel­op­ment of more soph­ist­ic­ated retrieval algorithms. But due to the enorm­ous com­plex­ity of the urban water sys­tem, few meth­ods have been adap­ted to the urban envir­on­ment. For instance, cur­rent remote sens­ing-based algorithms to determ­ine evapo­tran­spir­a­tion do not func­tion in urban or het­ero­gen­eous envir­on­ments. The pro­posed postdoc­toral sci­ent­ist will fill this gap and provide innov­at­ive remote sens­ing and data retrieval meth­ods to bridge the gap between local field stud­ies and the city scale. The can­did­ate will also provide essen­tial area wide input para­met­ers for advanced eco­hydro­lo­gical mod­els. In par­tic­u­lar, PhD stu­dents from the RTG will bene­fit from col­lab­or­a­tion with the PostDoc. Hypo­theses of sys­tems func­tion­ing from vari­ous doc­toral theses can be tested on a broader scale and applied eco­hydro­lo­gical mod­els can be improved with addi­tional remote sens­ing-based para­met­ers. Examples of doc­toral pro­jects that the PostDoc will col­lab­or­ate with include the estim­a­tion of heat and vapour fluxes of urban veget­a­tion using remote sens­ing data and mod­el­ling of the GHG foot­print of a met­ro­pol­itan area.
The PostDoc will have a close link to the research addressed in UWI. The can­did­ate will work on com­plex and chal­len­ging prob­lems and develop new meth­od­o­lo­gies in close col­lab­or­a­tion with UWI PhD research pro­jects. He or she will bene­fit from the lively and inter­dis­cip­lin­ary envir­on­ment of UWI, acquir­ing a broad view on their research fields. The PostDoc will be involved in the super­vi­sion of sev­eral doc­toral theses and work on strength­en­ing the links between dif­fer­ent top­ics. Fur­ther­more, the can­did­ate will gain addi­tional teach­ing exper­i­ence by devel­op­ing and giv­ing lec­tures in the course pro­gram.

Work­ing field:

The main tasks and con­tri­bu­tions of the PostDoc will be purely sci­entific and include:
  • Record­ing and pro­cessing of dif­fer­ent remote sens­ing data (optical, radar, hyper­spec­tral, Laser) at dif­fer­ent spa­tial and tem­poral scales (drone and satel­lite)
  • Adapt para­meter retrieval and mod­el­ling meth­ods to the urban envir­on­ment
  • Test­ing local hypo­theses of energy and sub­stance flow on the water­shed or city-scale by using remote sens­ing-based data retrieval algorithms
  • Improv­ing mod­els by integ­rat­ing remote sens­ing input vari­ables

It is planned to use multis­pec­tral, hyper­spec­tral, and thermal cam­eras moun­ted on a drone to record urban spec­tral and spa­tial char­ac­ter­ist­ics of selec­ted study sites. We will run an inverse mod­el­ling approach (e.g. SCOPE) where we derive spe­cific bio­phys­ical para­met­ers and energy fluxes dir­ectly from a set of remote sens­ing based para­met­ers. Machine learn­ing approaches will also be applied in addi­tion to con­ven­tional mod­els to derive bio­phys­ical para­met­ers. The meth­ods will be cal­ib­rated at the local sites in Ber­lin and tested at water­shed and city-scale.

Require­ments:

  • PhD in Geoe­co­logy, Geo­graphy, Hydro­logy, Envir­on­mental Sci­ences, Geosciences, or a related field with a strong focus on remote sens­ing
  • Strong know­ledge in image pro­cessing (optical, radar, hyper­spec­tral, Laser) and radi­at­ive trans­fer mod­els
  • Demon­strated pro­gram­ming skills for imple­ment­ing rel­ev­ant meth­ods and tech­niques in R, Python and/or C++ and exper­i­ence in Open Source Code devel­op­ment
  • Strong interest in field­work and exper­i­ence in fly­ing drones would be a plus
  • Can­did­ate must be enthu­si­astic about the pro­spect of work­ing in a col­lab­or­at­ive team with inter­na­tional engin­eers and nat­ural sci­ent­ists.
  • Demon­strated abil­ity to write and pub­lish sci­entific papers
  • very good com­mand of Eng­lish and/or Ger­man required; will­ing­ness to learn Ger­man is expec­ted

How to ap­ply:

The applic­a­tion should include the fol­low­ing doc­u­ments:
  • CV includ­ing rel­ev­ant pro­fes­sional exper­i­ence and know­ledge.
  • Cop­ies of PhD degree.
  • Brief explan­a­tion of why you want to con­duct research, about your aca­demic interests and how they relate to your pre­vi­ous research and future goals; max. 2 pages long.
  • Rep­res­ent­at­ive pub­lic­a­tions (Max. 5)
  • Con­tact inform­a­tion for two ref­er­ence per­sons.

Please send your writ­ten applic­a­tion with the ref­er­ence num­ber and the doc­u­ments to Tech­nis­che Uni­versität Ber­lin - Fak­ultät VI, Fachge­biet Geoin­form­a­tion in der Umwelt­planung, Prof. Dr. Birgit Kleinsch­mit, Sekr. EB 5, Straße des 17. Juni 135, 10623 Ber­lin or prefer­ably by e-mail to sekretariat@geoinformation.tu-berlin.de.

To ensure equal oppor­tun­it­ies between women and men, applic­a­tions by women with the required qual­i­fic­a­tions are expli­citly desired. Qual­i­fied indi­vidu­als with dis­ab­il­it­ies will be favored. The TU Ber­lin val­ues the diversity of its mem­bers and is com­mit­ted to the goals of equal oppor­tun­it­ies.

Please send cop­ies only. Ori­ginal doc­u­ments will not be returned.