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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. Software development plays a key role in the success of the PADS group. Therefore, we are looking for 2 talented software engineers specializing in data science. 

Research Assistant/Associate

Auf­ga­ben­be­sch­rei­bung:

  • You will design, deve­lop, and main­tain soft­ware for cut­ting-edge rese­arch in data sci­ence.
  • You will cont­ri­bute to open-source data-sci­ence plat­forms like ProM, Rapid­Mi­ner, R, etc.
  • You will work with indus­trial part­ners that pro­vide data and give feed­back on rese­arch results.
  • You will guide PhD, Bache­lor and Mas­ter stu­dents deve­lo­ping soft­ware and have a limi­ted invol­ve­ment in teaching.

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). There are two vacan­cies. Both soft­ware engi­neers will work with PhDs and Post­docs doing rese­arch in these sub­groups. This inclu­des being invol­ved as co-aut­hor in publi­ca­ti­ons and visit­ing natio­nal and inter­na­tio­nal con­fe­ren­ces.

Er­war­te­te Qua­li­fi­ka­tio­nen:

  • You have an Uni­ver­sity degree (Mas­ter or equi­va­lent) or a doc­to­rate/PhD in com­pu­ter sci­ence or a rela­ted disci­pline (e.g., sta­ti­s­tics, ope­ra­ti­ons rese­arch or manage­ment sci­ence with a spe­cia­liza­t­ion in data and/or pro­cess sci­ence).
  • You mas­ter modern pro­gramming lan­gua­ges like Java and Python.
  • You have expe­ri­ence in rea­li­zing com­plex soft­ware, pre­fe­r­a­bly rela­ted to data pro­ces­sing.
  • You have expe­ri­ence in using modern data­base sys­tems.
Expe­ri­ence with Big data plat­forms like Spark and Hadoop is pre­fe­ra­ble.
  • You have a genuine inte­rest (or expe­ri­ence) in pro­cess mining and are wil­ling to demons­trate this as part of the app­li­ca­tion pro­cess.
  • You are eager and able to co-super­vise stu­dents working on soft­ware-inten­sive pro­jects.
  • You have excel­lent com­mu­ni­ca­tive skills (also in Eng­lish).
  • You would like to co-deve­lop soft­ware tools that are widely used and influ­ence the field of data sci­ence.

Un­ser An­ge­bot:

The posi­tion is a fixed-term con­tract and is to be fil­led as soon as pos­si­ble. Accord­ing to the indi­vi­dual qua­li­fi­ca­tion the dura­tion of con­tract can be up to 4 years. This is a full-time posi­tion. It is also avail­able as part-time employ­ment per request.

The suc­cess­ful can­di­date does not have the oppor­tu­nity to pur­sue a doc­to­ral degree in this posi­tion.

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
Email: rensinghof@pads.rwth-aachen.de

or
Angelika Bombelka
Tel.: +49 (0) 241 80 21931
Email: bombelka@pads.rwth-aachen.de

For further information, please visit our website at:
http://www.pads.rwth-aachen.de

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 applications@pads.rwth-aachen.de. 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.