PhD Position on Machine Learning for Process Mining (ML4ProM) at RWTH Aachen 
University

 

The federal state government of North Rhine-Westphalia created a new initiative 
to strengthen the research in AI and ML. The project Machine Learning for 
Process Mining (ML4ProM) will have two PhD working on the interplay between 
process mining and machine learning, combining the expertise of RWTH Aachen 
University & Universität Bielefeld. These PhDs will be part of a larger ML/AI 
network called Data-NInJa (around 15 PhDs in total). 

 

The scope of the PADS group at RWTH includes all topics where discrete 
processes are analyzed, reengineered, and/or supported in a data-driven manner 
(www.pads.rwth-aachen.de <http://www.pads.rwth-aachen.de> ). The main focus is 
on Process Mining (including process discovery, conformance checking, 
performance analysis, predictive analytics, operational support, and process 
improvement). This project aims to combine this with the ML expertise of Prof. 
Dr. Barbara Hammer in Bielefeld. The PhD focusing on process mining will be 
hosted by the Process and Data Science Group (PADS) group.

 

The PADS group works on the whole spectrum ranging from theoretical research to 
applied research. RWTH Aachen University is one of the leading technical 
universities in Germany (typically ranked in top-3). It is one of the so-called 
Universities of Excellence, and the Department of Computer Science at RWTH is 
one of the strongest in Europe with over 30 professors. 

 

Appointments are 100% and based on the federal wage agreement (Tarifvertrag der 
Länder or TV-L, see http://oeffentlicher-dienst.info/tv-l/). Note that the 
salaries are very high compared to most other countries, but applicants are 
expected to be self-propelling, autonomous, and function as employees (rather 
than students). 

 

See www.pads.rwth-aachen.de <http://www.pads.rwth-aachen.de>  for more 
information on the group. Please send your application (including a motivation 
letter and full CV) via e-mail to [email protected] 
<mailto:[email protected]> , and you will be asked to fill out a 
form. Note that there also several other PhD and Postdoc positions in the PADS 
group.  If you have questions, please also use the e-mail address 
[email protected] <mailto:[email protected]>  or 
call +49 241 80 21901.

 

 

 <http://www.vdaalst.com/> 

  prof.dr.ir. Wil van der Aalst ●  <http://www.vdaalst.com/> www.vdaalst.com  ● 
@wvdaalst

 

Attachment: smime.p7s
Description: S/MIME cryptographic signature

----
[[ Petri Nets World:                                                ]]
[[              http://www.informatik.uni-hamburg.de/TGI/PetriNets/ ]]
[[ Mailing list FAQ:                                                ]]
[[ http://www.informatik.uni-hamburg.de/TGI/PetriNets/pnml/faq.html ]]
[[ Post messages/summary of replies:                                ]]
[[                               [email protected] ]]

Reply via email to