An­ge­bot 81 von 443 vom 13.02.2018, 13:36


Tech­ni­sche Uni­ver­si­tät Dres­den - “Fried­rich List” Faculty of Trans­port and Traf­fic Sci­en­ces

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

(Sub­ject to per­so­nal qua­li­fi­ca­tion employees are remu­n­e­ra­ted accord­ing to salary group E 13 TV-L)
The Chair of Air Trans­port Tech­no­logy and Logi­s­tics of the Insti­tute of Logi­s­tics and Avia­tion toge­ther with the Chair of Eco­no­metrics and Sta­ti­s­tics, esp. in the Trans­port Sec­tor of the Insti­tute of Trans­port and Eco­no­mics offers a posi­tion star­ting as soon as pos­si­ble. The posi­tion ent­ails 50 % of the full­time weekly hours. The posi­tion is limi­ted for 3 years. The period of employ­ment is gover­ned by Fixed Term Rese­arch Con­tracts Act (Wis­sen­schafts­zeit­ver­trags­ge­setz Wiss­ZeitVG). The posi­tion offers the chance to obtain fur­ther aca­de­mic qua­li­fi­ca­tion (e.g. PhD).
Wit­hin the frame­work of the three-year DFG pro­ject "Opti­mierte Con­ti­nuous Descent Ope­ra­ti­ons unter unsi­che­ren Umwelt- und Mis­si­ons­be­din­gun­gen" we aim at inves­ti­ga­ting whe­ther an energy-opti­mi­zed Second Best Solu­tion for the sin­gle flight event can achieve a signi­fi­cantly impro­ved effi­ci­ency in com­pa­ri­son to the glo­bal opti­mum over all pos­si­ble approa­ches.

Work­ing field:

simu­la­tion-based and theo­re­ti­cal eva­lua­tion and inves­ti­ga­tion of the varia­bles influ­en­cing the flight pro­file; adap­ta­tion of the sto­cha­s­tic-robust opti­mi­sa­tion methods to the mode­ling of the flight pro­files based on the series of input varia­bles; online pre­dic­tion of the flight pro­file via con­side­red sto­cha­s­tic/sta­ti­s­ti­cal models; robust­ness check of the results.


supe­rior uni­ver­sity degree in sto­cha­s­tics or sta­ti­s­tics with rele­vant recess in robust non­linear opti­mi­sa­tion; com­pe­tence in sci­en­ti­fic com­pu­ting advan­ced pro­gramming know­ledge (R, Mat­Lab and/or C/C++/C#).

How to ap­ply:

App­li­ca­ti­ons from women are par­ti­cu­larly wel­come. The same app­lies to people with disa­bi­li­ties.
Please sub­mit your com­pre­hen­sive app­li­ca­tion inclu­ding the usual docu­ments by 08.03.2018 (stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies) pre­fe­r­a­bly via the TU Dres­den Secu­re­Mail Por­tal by sen­ding it as a sin­gle pdf docu­ment to or by mail to: TU Dres­den, Fakul­tät Ver­kehrs­wis­sen­schaf­ten “Fried­rich List”, Insti­tut für Wirt­schaft und Ver­kehr, Pro­fes­sur für Öko­no­me­trie und Sta­tis­tik, insb. im Ver­kehrs­we­sen, Prof. Dr. Ostap Okhrin, 01062 Dres­den. Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you. Expen­ses incur­red in atten­ding inter­views can­not be reim­bur­sed.