WT4.5 – Vacancy – Machine Learning for Complex Structures Researcher
Task Leader: Tomasz Kajdanowicz, firstname.lastname@example.org
New researcher employment details:
Researcher : Vacancy
Position: Machine Learning for Complex Structures Researcher
ENGINE research areas: A1, A6, B1-B6
The researcher should be an expert in performing various types of research on prediction, classification for complex structures, in particular for network nodes. It also includes the relational machine learning, collective classification, reasoning for graphs, link prediction, community evolution prediction, as well as their applications. The expert should have Ph.D. for at least 5 years and also significant record of cited publications in the area of machine learning, with impact factor sum at least 10, h-index at least 4. The candidate should also have a record of at least 3 international research projects he or she was involved in, preferably within the European Framework Programmes.
Contribution to the ENGINE research potential:
In particular, (s)he will be obliged to co-author at least 6 JCR journal papers (the sum of their IF greater than 7) with other ENGINE staff members and to prepare and to carry out series of capacity building activities for the ENGINE staff on recent advances in the machine learning and their applications. Additionally, he or she will be engaged in preparation of scientific workshops organized by ENGINE.
His / her research in ENGINE will focus on the following domains:
- Advanced machine learning methods and techniques
- Classification in graphs
- Structural machine learning
- Prediction of continuous complex structure outputs
- Scalable methods in machine learning