Work ing field :
The junior pro fess or ship con nects the fields of arti fi cial intel li gence and big data ana lyt ics with envir on mental plan ning and cli mate change, and is respons ible for teach ing and research at the inter face of these dis cip lines.
She or he should demon strate in their concept for the pro fess or ship how meth ods of machine learn ing and in par tic u lar of deep learn ing could be har nessed to identi fy ing, ana lys ing and mod el ling the inter play of land use change and cli mate change as well as other drivers of land use.
Par tic u lar research foci will be determ ined accord ing to the expert ise of the appointee.
Research areas might focus on
The junior pro fess or ship will be required to under take teach ing in the bach elor’s and mas ter’s pro grams Öko lo gie und Umwelt planung , Envir on mental Plan ning and Stadtöko lo gie as well as to super vise bach elor’s and mas ter’s theses.
Require ments :
Applic ants are required to com ply with 102a Ber lHG (Ber lin Uni versity Act); e.g. com pleted uni versity degree in one of the men tioned fields, qual i fied achieve ments in research (gen er ally proven by PhD) as well as ped ago gical aptitude (doc u mented by a teach ing port fo lio (TUB web site, quick access no. 144242).
Tech nis che Uni versität Ber lin is look ing for an out stand ing researcher in Arti fi cial Intel li gence and Land Use Change’.
The suc cess ful can did ate has a back ground in com puter sci ences, geo-inform a tion sci ences, spa tial / envir on mental plan ning, or cli mate impact research and has strong teach ing skills both at the under gradu ate and gradu ate levels.
The can did ate should be will ing and able to deliver courses in Ger man and Eng lish. Incid ent ally we refer to the AS res ol u tion on Lan guage Policy of 16th May 2018.
Com mu nic a tion and coordin a tion skills are import ant and rel ev ant qual i fic a tions. Motiv a tion for inter dis cip lin ary cooper a tion with rel ev ant work ing groups at TU Ber lin and external research insti tu tions is essen tial.
Exper i ence with inter dis cip lin ary research teams, and interest in the pro mo tion of junior and female sci ent ists are appre ci ated.
A will ing ness to take on aca demic ser vice as well as didactic skills and aca demic teach ing exper i ence are expec ted.
Incid ent ally we refer to 99 Ber lHG.