An­ge­bot 182 von 201 vom 05.05.2020, 00:00


RWTH Aachen - Chair of Mathematics for Uncertainty Quantification

The new DFG International Research Training Group (IRTG) 2379 builds on a unique consortium, at RWTH Aachen University with its Aachen Institute of Advanced Study in Computational Engineering Science, and at the University of Texas at Austin with its Institute for Computational Engineering and Sciences. The projects are embedded in the field of modern inverse problems and introduce a new innovative perspective into the education of future scientists and engineers.

The Mathematics Department of RWTH Aachen University invites applications for a Ph.D. position in "A hierarchical framework for Bayesian Optimal Experimental Design" under the primary supervision of Raul Tempone (Alexander von Humboldt Professor of Mathematics for Uncertainty Quantification at RWTH Aachen University), jointly with Omar Ghattas (Director of the Center for Computational Geosciences in the Institute for Computational Engineering and Sciences (ICES) at The University of Texas, Austin).

Applications for this position must contain a CV, a letter of motivation, copies of degree certificates, and relevant course transcripts along with contact details of at least two academic referees. For full consideration, please apply by May 15, 2020. However, applications will be accepted until the position is filled. 

PhD position

Work­ing field:

The scope of this Ph.D. pro­ject is to deve­lop a hier­ar­chi­cal uncer­tainty quan­ti­fi­ca­tion (UQ) frame­work for com­plex sys­tems tog­e­ther with the con­struc­tion of the cor­re­spon­ding hier­ar­chi­cal Baye­sian Opti­mal Expe­ri­men­tal Design frame­work for both sta­tic and dyna­mic inverse pro­blems. As a by-pro­duct, a novel sto­chastic opti­mi­za­tion approa­ches tailo­red to the Baye­sian Opti­mal Expe­ri­men­tal Design set­ting is to be deve­lo­ped.

This is a full-time 3-year posi­tion (salary TVL 13 100%) pro­vi­ding the oppor­tu­nity to deve­lop per­so­nal strengths and engage in a uni­que gra­duate school pro­gram that pro­vi­des an inter­na­tio­nal and inter­di­sci­pli­nary working envi­ron­ment. The can­di­date is expec­ted to have full invol­ve­ment in the IRTG activi­ties, inclu­ding joint RWTH-UT col­lo­quia, annual work­shops and schools, and short cour­ses. Short rese­arch stay at the Uni­ver­sity of Texas in Aus­tin is also part of the trai­ning pro­gram.


We are see­king highly moti­va­ted can­di­da­tes with strong mathe­ma­ti­cal skills. The requi­re­ment for this posi­tion is a mas­ter's degree in engi­nee­ring, app­lied mathe­ma­tics, or phy­sics, or a simi­lar sub­ject with a supe­rior aca­de­mic record. Prac­ti­cal pro­gramming expe­ri­ence is of advan­tage. Know­ledge in uncer­tainty quan­ti­fi­ca­tion, inverse pro­blems, Baye­sian infe­rence, opti­mi­za­tion and/or data ana­ly­sis is desi­red. Excel­lent writ­ten and spo­ken Eng­lish lan­guage skills are requi­red.

What we of­fer:

The posi­tion is for 3 years and is to be fil­led as soon as pos­si­ble. This is a full-time posi­tion. It is also avail­able as part-time employ­ment per request.

The suc­cess­ful can­di­date has the oppor­tu­nity to pur­sue a doc­to­ral degree.

The salary is based on the Ger­man public ser­vice salary scale (TV-L).

RWTH Aachen Uni­ver­sity is cer­ti­fied as a "Family-Fri­endly Uni­ver­sity". We wel­come app­li­ca­ti­ons from all sui­ta­bly qua­li­fied can­di­da­tes regard­less of gen­der. We par­ti­cu­larly wel­come and encou­rage app­li­ca­ti­ons from women, dis­ab­led per­sons and eth­nic mino­rity groups, reco­gni­zing they are under­re­p­re­sen­ted across RWTH Aachen Uni­ver­sity. The princi­ples of fair and open com­pe­ti­tion apply and appoint­ments will be made on merit. RWTH Aachen is an equal oppor­tu­nities employer. We the­re­fore ask you not to include a photo in your app­li­ca­tion. For infor­ma­tion on the collec­tion of per­so­nal data pur­suant to Arti­cles 13 and 14 of the Gene­ral Data Pro­tec­tion Regu­la­tion (GDPR), please visit:

How to ap­ply:

For further details, please contact
Dr. Luis Espath
Tel.: +49 (0) 241 80 99205

For further information, please visit our website at:

Please send your application by May 15, 2020 to
Prof Raul Tempone
RWTH Aachen University
Kackertstr. 9
52072 Aachen

You can also send your application via email to Please note, however, that communication via unencrypted e-mail poses a threat to confidentiality as it is potentially vulnerable to unauthorized access by third parties.