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RWTH Aachen - Computer Science 9 - chair in Process and Data Science

The Process and Data Science (PADS) group, headed by Prof. Dr. Ir. Wil van der Aalst, is a new research group at RWTH focusing on the interplay between processes and data. PADS symbolizes RWTH’s ambitions in the area of Data Science and is supported through a recently awarded Alexander von Humboldt Professorship (Germany’s most valuable international research award with value of 5 million euros). The scope of PADS includes all topics where discrete processes are analyzed, reengineered, and/or supported in a data-driven manner. Process-centricity is combined with an array of Data Science techniques (machine learning, data mining, visualization, and Big data infrastructures). The main focus is on Process Mining (including process discovery, conformance checking, performance analysis, predictive analytics, operational support, and process improvement). This is combined with neighboring disciplines such as operations research, algorithms, discrete event simulation, business process management, and workflow automation. The chair of PADS is the founder of the process mining discipline and one of the leading computer scientists in the world. The ambition is to realize scientific breakthroughs which will help organizations to turn event data into business and societal value. Investments by RWTH, the Alexander von Humboldt foundation, and the Fraunhofer Institute for Applied Information Technology make it possible to realize these ambitions and to provide unique opportunities for 11 talented students do PhD research in process mining. 

Research Assistant/Associate


  • You will do cut­ting-edge pro­cess mining rese­arch in one of the top groups in data sci­ence.
  • You will be invol­ved in rese­arch pro­jects with indus­trial part­ners that pro­vide data and give feed­back on rese­arch results.
  • You will super­vise Bache­lor and Mas­ter stu­dents working on rela­ted topics and have a limi­ted invol­ve­ment in teaching.
  • You will pre­sent your work at natio­nal and inter­na­tio­nal con­fe­ren­ces and work towards a PhD the­sis in a 4 year period.

In total there are 11 PhD vacan­cies. Wit­hin the Pro­cess and Data Sci­ence (PADS) group there are four smal­ler sub­groups working on (1) foun­da­ti­ons of pro­cess mining, (2) dea­ling with large/dis­tri­buted/strea­m­ing/uncer­tain event data, (3) auto­ma­ted ope­ra­tio­nal pro­cess impro­ve­ment, and (4) res­pon­si­ble pro­cess mining (focu­sing on chal­len­ges rela­ted to fair­ness, accu­racy, con­fi­den­tia­lity, and trans­pa­rency). You will be gui­ded towards a PhD in one of these excit­ing areas (depen­ding on your back­ground and inte­rests).

Er­war­te­te Qua­li­fi­ka­tio­nen:

  • You have an Uni­ver­sity degree (Mas­ter or equi­va­lent) in com­pu­ter sci­ence or a rela­ted disci­pline (e.g., sta­ti­s­tics, ope­ra­ti­ons rese­arch or manage­ment sci­ence with a spe­cia­liza­t­ion in data and/or pro­cess sci­ence)and you are eager to become a data sci­ence rese­ar­cher.
  • You have pro­ven to belong to the top of your gra­dua­ting class as evi­den­ced by your marks and sup­por­ted by your refe­ren­ces.
  • You are a fast lear­ner, dedi­ca­ted, auto­no­mous and crea­tive.
  • You have a genuine inte­rest (or expe­ri­ence) in pro­cess mining and are wil­ling to demons­trate this as part of the app­li­ca­tion pro­cess.
  • You have excel­lent ana­lyti­cal skills and you are wil­ling to imple­ment your ideas in soft­ware.
  • You are ambi­tious, but at the same time a team player.
  • You have excel­lent com­mu­ni­ca­tive skills (also in Eng­lish).

Un­ser An­ge­bot:

The posi­tion is auf 1 Jahr and is to be fil­led as soon as pos­si­ble. An exten­sion to 4 years in total is inten­ded. 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 cor­re­sponds to level EG 13 TV-L.

RWTH Aachen Uni­ver­sity is cer­ti­fied as a "Family-Fri­endly Uni­ver­sity". 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.

Hin­wei­se zur Be­wer­bung:

For further details, please contact
Christina Rensinghof
Tel.: +49 (0) 241 80 21901

Angelika Bombelka
Tel.: +49 (0) 241 80 21931

For further information, please visit our website at:

Please send your application by November 12, 2017 to
RWTH Aachen
Informatik 9 - PADS
Prof. Dr. Wil van der Aalst
D-52056 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.