Machine learning and data mining with imperfect and incomplete relational data

31/05/2022 – 01/06/2022 all-day

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : Laboratoire Hubert Curien (LabHC UMR CNRS 5516), U
Durée : 3 years
Contact :
Date limite de publication : 2022-05-31

Contexte :
In many applications, the data to be studied is relational, modeled in the form
of a network represented by graphs. This representation allows capturing not
only the information about entities (using attributes or properties) but also
the relationships between them.
While the ability to discover knowledge from such network data is gaining in
importance, the quality became a central issue in their exploitation.

Sujet :
The aim
of this PhD is first to study the impact of the lack of quality of relational
data on the data mining and machine learning algorithms and, second to design
robust methods to deal with imperfect and incomplete relational data and able
to provide explainable results.

Profil du candidat :
The candidate should have a master degree or equivalent in Computer Science.
The subject is at the intersection of several domains: graph theory,
statistics, data mining and machine learning. Thus the candidate should have
strong backgrounds in several of these topics.
Other required skills:
• Good abilities in algorithm design and programming.
• Good technical skills regarding data mining, machine learning and data
• A very good level (written and oral) in English.
• Good communication skills (oral and written).
• Ability to work in a team with colleagues,
• Autonomy and motivation for research.

Formation et compétences requises :
Applicants are invited to contact as soon as possible.
The application file should contain the following documents:
1. a curriculum vitæ (CV);
2. the official academic transcripts of all the candidate’s higher education
degrees (BSc, License, MSc, Master’s degree, Engineer degree, etc.). If the
candidate is currently finishing a Master’s degree, s/he must send the
transcript of the grades obtained so far, with the rank among her/his peers,
and the list of classes taken during the last year;
3. some recommendation letters (quality is more important than quantity,
4. and a motivation letter written specifically for this position.
Send all of these documents by email to all the advisors:
• Baptiste Jeudy
• Charlotte Laclau
• Christine Largeron
Interviews will be conducted as they arise and the position will be filled as
soon as possible.

Adresse d’emploi :
The PhD candidate will work at the Laboratoire Hubert Curien (UMR 5516) under
the supervision of Baptiste Jeudy, Charlotte Laclau and Christine Largeron,
(LabHC – Université Jean Monnet, Saint-Etienne, France).