Connectionists: Computer Science Assistant Professor positions for the “National Center for Gene Therapy and Drugs based on RNA Technology”
Giorgio Valentini
valentini at di.unimi.it
Sun Oct 16 12:46:29 EDT 2022
Call for 2 Computer Science positions at Assistant professor level at
the Department of Computer Science of the University of Milan (Italy)
for the NextGenerationEU project “National Center for Gene Therapy and
Drugs based on RNA Technology” funded by the Italy’s recovery and
resilience plan (PNRR)
The project includes more than 40 Universities, Research Centers and
Companies with the objective of developing innovative RNA drugs for the
therapy of cancer, genetic and neuro-degenerative and infective
diseases, with an overall budget of about 400M Euros.
In this context the Spoke n. 7 – Biocomputing of the consortium funds 2
Assistant Professor positions (italian RTDA) for the project “Graph
Representation Learning methods for the analysis of biomedical Knowledge
Graphs”, under the supervision of prof. Giorgio Valentini (Computer
Science Dept. of the University of Milan).
The main goal of the project is to design and develop Graph
Representation Learning methods for the analysis of heterogeneous graphs
and for the construction of biomedical Knowledge Graphs. The developed
methods will be applied to the analysis of Knowledge Graphs for drug
repurposing, drug-target prediction and other node label and edge
prediction biomedical problems, with a particular focus on RNA drugs for
the therapy of cancer and genetic diseases.
Scientific director of the project: prof. Giorgio Valentini
Required commitment : full time
Possible candidates are PhDs having a background in Machine Learning
and/or DataBase and/or Bioinformatics with a propensity for applications
in the bio-medical field.
Specific functions that the researcher is called to perform:
• Scientific functions: The first RTDA position will concern the
development of Graph Representation Learning methods based on random
walk and Graph Neural Network specifically designed to solve relevant
Network Medicine problems. The second RTDA position will concern both
the development of methods for the construction of biomedical Knowledge
Graphs, and the application of Graph Representation Learning and
graph-based methods for their analysis. A significant part of the
research activities will involve the efficient software implementation
of algorithms for the construction and analysis of Knowledge Graphs
capable of scaling with large heterogeneous graphs.
• Teaching functions: connected to the coverage needs of laboratories /
fundamental courses of the Degrees Bachelor's and Master's of the
Computer Science Department (in English language) and / or basic service
courses provided by the Department for other degree courses related to
the topics of interest of the PNRR project.
The research activities will take place at the Computer Science
Department of the University of Milan, in collaboration with other
national and international research centers involved in the research
project itself.
The call for applications for the RTDA positions is available at the
following link (sorry at the moment is in Italian only):
https://www.unimi.it/it/ateneo/lavora-con-noi/reclutamento-ricercatori/selezioni-ricercatori/ricercatore-tipo-pnrr-sc-01/b1-ssd-inf/01-codice-5113
Please, note that the deadline for submitting applications is very
strict: October 26, 2022.
For further information, please contact Giorgio Valentini, e-mail:
valentini at di.unimi.it
With best regards,
Giorgio Valentini
--
====================================================
Giorgio Valentini
Dip. Informatica - Universita' degli Studi di Milano
Phone: +39 (02) 503.16225
e-mail:valentini at di.unimi.it
http://homes.di.unimi.it/valentini
Anacleto Lab - Comp. Biology and Bioinformatics
http://anacletolab.di.unimi.it
====================================================
I am Italian, but I have nothing to do with
fascists, sovereigns and populists
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20221016/ba8ab6e5/attachment.html>
More information about the Connectionists
mailing list