Open PhD position in AI & Process Mining, University Paris-Dauphine, France 

We are currently seeking applicants for a PhD position to conduct research related to AI techniques in process mining.

The aim of the thesis is to consider the context in all the phases of the process improvement life cycle (discovery, conformance checking, enhancement) as well as in process monitoring. Including the context could improve :
- precision of the discovered process model and of its analysis enabling better recommendation for process improvement 
- better predictions for process monitoring. 
The thesis will also address : 
- fairness issues (e.g., not blame an overloaded resource for delays) 
- causality analysis (e.g., which factor or context variable causes delays).
For details see : https://www.lamsade.dauphine.fr/fileadmin/mediatheque/lamsade/documents/propositions_theses_2020/grigori.pdf

Applicants should have:
- Master degree in Computer Science (or equivalent) with good GPA
- Interest in AI and Process mining
- Knowledge in Machine Learning and Graphs
- Good programming skills

To apply, please send the following documents in a single PDF to Prof. Daniela Grigori (daniela.grigori@dauphine.fr) and Dr. Joyce El Haddad(joyce.elhaddad@dauphine.fr). Applications will be considered until 02 of April 2021.
- A motivation letter highlighting in particular your fit to the position 
- A recent detailed CV 
- Scan of transcripts of your Master degree (or equivalent) 
- Optionally, provide a link to GitHub or similar

Best regards, 
Dr. Joyce El Haddad