MSCA-PF: Joint application at the University of Granada. Department of Computer Science and Art[...]

euraxess.ec.europa.eu - Jobboard; España; Presencial; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

The University of Granada invites postdoctoral candidates for Marie Skłodowska-Curie Fellowship applications in 2025. The role involves advancing AI methodologies in systematic reviews, requiring expertise in information retrieval, text mining, and deep learning, in collaboration with top researchers.

Formación

• Expert in AI techniques, information retrieval, text mining, and deep learning.
• Proven track record in automation of systematic reviews.

Responsabilidades

• Propose and evaluate solutions for automation of systematic reviews.
• Work with multidisciplinary teams to deliver high-quality research outputs.

Conocimientos

Information retrieval

Text mining

Deep learning

Educación

PhD in Computer Science or related field

Descripción del empleo

School of Technology and Telecommunications Engineerings

Organisation / Company University of Granada Department International Research Projects Office Laboratory School of Technology and Telecommunications Engineerings Is the Hosting related to staff position within a Research Infrastructure? No

Description

Professor Juan Manuel Fernández Luna, from the Department ofComputer Science and Artificial Intelligence at the University of Granada, welcomes postdoctoral candidatesinterested inapplying for a Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA-PF)in 2025 at this University. Please note that applicants must comply with the Mobility Rule (for more information about the 2025 call, please consult this link .

Brief description of the institution:

The University of Granada (UGR), founded in 1531, is one of the largest and most important universities in Spain. With amost 54,000 undergraduate and postgraduate students and more than 6,000 members of staff, the UGR offers over 90 undergraduate degrees, 157 master’s degrees (7 of which are international double degrees) and 28 doctoral programmes via its 124 departments and nearly 50 centers. Accordingly, the UGR offers one of the most extensive and diverse ranges of higher education programmes in Spain.

The UGR has been awarded with the "Human Resources Excellence in Research (HRS4R)", which reflects the institution’s commitment to continuously improve its human resource policies in line with the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers. The UGR is also internationally renowned for its excellence in diverse research fields and ranked among the top Spanish universities in a variety of ranking criteria, such as national R&D projects, fellowships awarded, publications, and international funding.

The UGR is one of the few Spanish Universities listed in the Shanghai Top 500 ranking - Academic Ranking of World Universities (ARWU). The 2024 edition of the ARWU places the UGR in 301-400th position in the world and as the 3-8 highest ranked University in Spain ( http://sl.ugr.es/0dwJ ) , reaffirming its position as an institution at the forefront of national and international research. From the perspective of specialist areas in the ARWU rankings ( http://sl.ugr.es/0bSp ) , the UGR is outstanding in Mathematics and Dentistry & Oral Sciences Food Science & Technology (both ranked between 51th-75th position), Computer Science & Engineering, Food Science & Technology and Hospitality & Tourism Management (all three ranked between 76-100th position), and in the areas of Statistics and Psychology (both ranked between 101-150th position). A little lower in the ranking, the UGR also stands out in the areas of Business Administration and Earth Sciences, in which the UGR is positioned in the 151-200th position.

Additionally, the UGR counts with 3 researchers at the top of the Highly Cited Researchers (HCR) list ( http://sl.ugr.es/0cmD ), most of them related to the Computer Science scientific area. It is also well recognised for its presence in the top 200 Universities in Europe ( http://sl.ugr.es/0a6i ) at 43th place .

Internationally, the University of Granada is firmly committed to its participation in the calls of the Framework Programme of the European Union. For the duration of the prevoius Framework Programme, Horizon 2020, the UGR obtained a totalof123 projectswith a total funding of around€30 million.For the current Framework Programme, Horizon Europe, the UGR has obtained108 projects, so far, with a total funding of€33 million.

Brief description of the Centre/Research Group:

The candidate would be host at the Computer Science and Artificial Intelligence Department at the University of Granada, although she/he will work very closely with members of the Department of Preventive Medicine and Public Health from this university. More specifically, in the context of the AIRES initiative, the postdoc researcher will work in a wider and multidisciplinary environment, where the members present experience of joint working in multicenter projects. Members have an individually and collectively distinctive track record(s) in computer sciences, 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.

More specifically, the research group from the Professor Fernández Luna is basically focused on the intelligent access field, more specifically in the areas of Information Retrieval and Recommender Systems, where they have been working for more than 20 years and published a wide range of papers in the main international journals and conferences. Machine Learning and Text Mining have been the main tools used to solve the problems faced in these areas.

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 with the new advances in artificial intelligence (AI) evidence synthesis can be assisted, improving the timeliness of guidelines. The objective of this project is, using beyond state-of-the-art 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. We will collaborate as a multidisciplinary team involving relevant stakeholders. This will allow the delivery of a much-needed, exciting, groundbreaking, 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.

The postdoc researcher should be an expert in AI techniques, specifically in information retrieval, text mining and deep learning. She/he will be in charge of proposing solutions and evaluating them for the automation of systematic reviews.

Research Area:

• Information Science and Engineering (ENG)
• Life Sciences (LIFE)

For a correct evaluation of your candidature, please send the documents below to Professor Juan Manuel Fernández Luna ([e-mail] ):