MSCA-PF: Joint application at the University of Granada. Department of Signal Theory, Networkin[...]

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

Descripción de la vacante

The University of Granada invites applications for a Marie Skłodowska-Curie Postdoctoral Fellowship in 2025 focused on computational data science. Successful candidates will engage in research within the Computational Data Science Laboratory, contributing to innovative solutions in exploratory data analysis and machine learning within diverse fields.

Formación

• Candidates must comply with the Mobility Rule for the fellowship.
• Demonstrated expertise in exploratory data analysis and machine learning is essential.

Responsabilidades

• Conduct research in computational data science, collaborating across various disciplines.
• Develop algorithms and software tools for data analysis challenges.

Educación

PhD or equivalent in relevant field

Descripción del empleo

Signal Theory, Networking and Communication

Organisation / Company: University of Granada

Department: International Research Projects Office

Laboratory: Signal Theory, Networking and Communication

Is the Hosting related to staff position within a Research Infrastructure? No

Description

Professor José Camacho Páez, from the Department of Signal Theory, Networking and Communication at the University of Granada, welcomes postdoctoral candidates interested in applying 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 approximately 54,000 undergraduate and postgraduate students and more than 6,000 staff members, UGR offers over 90 undergraduate degrees, 157 master’s degrees (including 7 international double degrees), and 28 doctoral programs across its 124 departments and nearly 50 centers. UGR is renowned for its extensive and diverse higher education programs.

The UGR has been awarded the "Human Resources Excellence in Research (HRS4R)" label, reflecting its commitment to improving human resource policies aligned with the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers. It is recognized for excellence in various research fields and ranked among the top Spanish universities in multiple rankings, including national R&D projects, fellowships, publications, and international funding.

UGR is listed in the Shanghai Top 500 ranking - Academic Ranking of World Universities (ARWU), ranking between 301-400 globally in 2024 and as the 3rd to 8th highest-ranked university in Spain (http://sl.ugr.es/0dwJ). It excels particularly in Mathematics, Dentistry & Oral Sciences, Food Science & Technology, Computer Science & Engineering, Hospitality & Tourism Management, and Psychology, among others.

The university boasts 3 researchers among the top of the Highly Cited Researchers (HCR) list (http://sl.ugr.es/0cmD), mainly in Computer Science. It is also ranked 43rd in Europe among top universities (http://sl.ugr.es/0a6i).

Internationally, UGR actively participates in EU Framework Programmes, securing 123 projects (€30 million) under Horizon 2020 and 108 projects (€33 million) under Horizon Europe.

Brief description of the Centre/Research Group:

The Computational Data Science Laboratory (CoDaS Lab), established in 2022, focuses on exploratory data analysis, machine learning, and inferential statistics applied to diverse fields such as biology, chemistry, communication networks, health, and ecology. The group specializes in extracting knowledge from complex data and developing new algorithms and software tools.

The lab emphasizes collaboration across disciplines, focusing on data analysis challenges like Big Data management, spatio-temporal modeling, data fusion, GPU-accelerated models, and interpretable machine learning techniques, including applications to text and image data.

Research Areas:

• Information Science and Engineering (ENG)
• Mathematics (MAT)

To apply, please send your documents to Professor José Camacho Páez at [e-mail].