Blätter-Navigation

An­ge­bot 243 von 375 vom 12.03.2020, 15:07

logologo

Tech­ni­sche Uni­ver­si­tät Dres­den - Faculty of Envi­ron­men­tal Sci­en­ces, Depart­ment of Geo­sci­en­ces, Insti­tute of Geo­gra­phy, Chair of Com­pu­ta­tio­nal Land­s­cape Eco­logy

The TU Dres­den is one of ele­ven Ger­man uni­ver­si­ties that were iden­ti­fied as an “excel­lence uni­ver­sity”. TUD has about 36.500 stu­dents and almost 5319 employees, 507 pro­fes­sors among them, and, thus, is the lar­gest uni­ver­sity in Sax­ony, today.

Having been com­mit­ted to sci­en­ces and the engi­nee­ring before the reuni­fi­ca­tion of Ger­many, TU Dres­den now is a multi-disci­pline uni­ver­sity, also offe­ring huma­nities and social sci­en­ces as well as medi­cine.

Rese­arch Asso­ciate / PhD stu­dent / Post­doc

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­ne­ra­ted accord­ing to salary group E 13 TV-L)
The posi­tion is star­ting as soon as pos­si­ble. The posi­tion is limi­ted for three years. The period of employ­ment is gover­ned by the Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz – WissZeitVG). The posi­tion aims at obtai­ning fur­ther aca­de­mic qua­li­fi­ca­tion (e.g. PhD / habi­li­ta­tion the­sis). Balan­cing family and career is an important issue. The post is basi­cally sui­ta­ble for can­di­da­tes see­king part-time employ­ment. Please tell us in your app­li­ca­tion.
The Chair of Com­pu­ta­tio­nal Land­s­cape Eco­logy inves­ti­ga­tes the effects of chan­ges in land use and land­s­cape struc­ture on bio­di­ver­sity, eco­sys­tem func­tions and ser­vices. For this pur­pose, we com­bine a wide range of methods such as field stu­dies, eco­lo­gi­cal and bio­geo­gra­phi­cal model­ling, remote sen­sing, app­lied (geo)sta­tis­tics and Machine/Deep Lear­ning. Our rese­arch aims at a bet­ter under­stan­ding and impro­ved model­ling of basic rela­ti­ons­hips bet­ween land­s­cape pat­terns and pro­ces­ses, but is also clo­sely rela­ted to app­lied ques­ti­ons of resource manage­ment and nature con­ser­va­tion. We are loo­king for­ward to new col­leagues who would like to con­tri­bute their own ideas and initia­ti­ves to rese­arch and tea­ching and who enjoy working in an open-min­ded, inter­na­tio­nal and crea­tive team.

Work­ing field:

inde­pen­dent pur­suit of own rese­arch inte­rests on the app­li­ca­tion of Data Sci­ence/Arti­fi­cial Intel­li­gence to ques­ti­ons of land­s­cape eco­logy and Earth Sys­tem Sci­en­ces; sup­port in the instru­men­ta­tion of bio­di­ver­sity moni­to­ring sites by means of acoustic sen­sors and/or came­ras and deve­lop­ment of methods for auto­ma­ted data eva­lua­tion; col­la­bo­ra­tion wit­hin the TU Dres­den as well as with natio­nal (esp. Helm­holtz Centre for Envi­ron­men­tal Rese­arch – UFZ) and inter­na­tio­nal coope­ra­tion part­ners; pre­sen­ta­tion of rese­arch results at inter­na­tio­nal con­fe­ren­ces and publi­ca­tion in sci­en­ti­fic jour­nals; tea­ching in the geo­gra­phi­cal study pro­gram­mes of the Faculty of Envi­ron­men­tal Sci­en­ces, i.e. design and tea­ching of semi­nars as well as super­vi­sion of stu­dent rese­arch pro­jects and the­ses on one’s own rese­arch topics.

Require­ments:

very good uni­ver­sity degree (mas­ter, diploma) and if app­li­ca­ble PhD in Data Sci­ence, geo­in­for­ma­tics, envi­ron­men­tal engi­nee­ring or rela­ted fields, ide­ally in com­bi­na­tion with a basic edu­ca­tion in envi­ron­men­tal sci­ence or geo­gra­phy; very good know­ledge in the field of Machine/Deep Lear­ning (esp. pat­tern ana­ly­sis and pat­tern reco­gni­tion); good know­ledge in the script-based use of com­pu­ta­tio­nal clus­ters for sci­en­ti­fic com­pu­ting; a pen­chant for inter­di­sci­pli­nary and app­lied envi­ron­men­tal rese­arch; flu­ent Eng­lish, both spo­ken and writ­ten (Ger­man lan­guage skills are not requi­red); inde­pen­dent, struc­tu­red working style, abi­lity to work in a team, and ana­ly­ti­cal thin­king; dri­ving license class B.

How to ap­ply:

App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties. Please sub­mit your detailed app­li­ca­tion (incl. let­ter of moti­va­tion com­pri­sing a short descrip­tion of the plan­ned rese­arch pro­ject, i.e. PhD or habi­li­ta­tion, cur­ri­cu­lum vitae, cer­ti­fi­ca­tes and your Mas­ter/Diploma/PhD the­sis) with the refe­rence “Rese­ar­cher_Data­Sci­ence” by 14.04.2020 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies), pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal (https://securemail.tu-dresden.de/) by sen­ding it as a sin­gle PDF docu­ment to anna.cord@tu-dresden.de or by mail to: TU Dres­den, Fakul­tät Umwelt­wis­sen­schaf­ten, Fach­rich­tung Geo­wis­sen­schaf­ten, Insti­tut für Geo­gra­phie, Pro­fes­sur für Modell­ba­sierte Land­schafts­öko­lo­gie, Frau Prof. Dr. Anna Cord, Helm­holtz­str. 10, 01069 Dres­den. Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you. Expen­ses incur­red in atten­ding inter­views can­not be reim­bur­sed. The inter­views are expec­ted to take place bet­ween 22.04.2020 and 24.04.2020.

________________________________________________________________________________________________________
Refe­rence to data pro­tec­tion: Your data pro­tec­tion rights, the pur­pose for which your data will be pro­ces­sed, as well as fur­ther infor­ma­tion about data pro­tec­tion is avail­able to you on the web­site: https: //tu-dres­den.de/kar­riere/daten­schutz­hin­weis