[This opportunity is not affiliated with the Department, Faculty of Arts & Science, or University of Toronto. Registration fees may apply. We share this opportunity at the request of the organizers in case it is of interest to our student body. Participation is as the sole discretion of the individual.]
The University of Granada, Spain, and more specifically its Department of Computer Science and Artificial Intelligence offers a Marie Skłodowska-Curie individual European fellowship on the automation of systematic reviews using Artificial Intelligence.
Published biomedical research needs to be synthesised for health practitioners. This currently takes too long to contemporaneously enhance health care quality because the methods of evidence synthesis that bring together published studies to underpin guidance for practice have well recognised, serious delays taking on average 5 staff members over 12 months to complete a review. We postulate that artificial intelligence (AI) can assist in evidence synthesis, improving the timeliness of guidelines. The objective of this project is, using beyond state-of-the-art AI methodology, develop an integrated system using modern AI technologies to support the complete process of systematic reviews. We will validate the performance the AI-based system quantifying its accuracy, precision, heterogeneity, bias and generalizability compared to a standard meta-analysis. We wish to form an international consortium of well-established researchers with individually distinctive track records in computer science, systematic review, study quality assessment, meta-analysis, evidence grading, public health, cardiometabolic research, and various forms of evidence synthesis including both randomized and real-world data. This will allow the delivery of a much-needed, exciting, ground breaking, high-quality and impactful project. Our output will help accelerate the process of meta-analyses, evidence synthesis and transfer of research into guidelines for improving the quality of health care.
So we are looking for an experienced researcher with a PhD in Computer Science, with a strong background in Information Retrieval, Machine Learning, Natural Language Processing and Text Mining to be integrated in a friendly and strong research group. She/he will collaborate with a multidisciplinary team in order to automating several of the stages of systematic reviews, where all these previously disciplines must be involved.
The candidate will work and live at the beautiful city of Granada, at southern Spain.
Those interested candidates should send a letter of interest and presentation (including the reasons why she/he would be interested in this position, her/his possible contributions to the research and skills) to Juan Manuel Fernández Luna (jmfluna decsai.ugr.es) in addition to her/him CV.
After a first selection from all the CVs, the selected candidate will work with the members of the research team to elaborate a successful proposal.
More information about the fellowship is in the following link:
And about the call in this one:
https://ec.europa.eu/research/mariecurieactions/actions/individual-fellowships_en