PRR Project

Summary

We are looking for a talented scientist for an Assistant Professor / Assistant Researcher position, with a strong background in Computer Science & Artificial Intelligence and a proven track record in computer programming, electronics & data acquisition systems, and predictive analytics.The candidate will join CBQF - Biobased and Biomedical Products Line of the Research Centre (CBQF), specifically within the Data Analytics & Biosignals group. This group conducts cutting-edge research on biomedical engineering, using computational and machine learning methods and tools to study the interactions and dynamics of biological systems and signals under different stress conditions and the effects of biological factors on health and disease. As a member of this team, the candidate will contribute to advancing this strategic research area in Computational Biomedical Engineering and Artificial Intelligence, by exploiting the latest developments in computer science, machine learning, bioinformatics, and other “-omics” technologies. The candidate will explore the opportunities and challenges that computational biomedical engineering can offer to the medical field, such as using data-driven tools and solutions to enhance the quality and safety of healthcare, to designing and optimizing biomedical applications, devices, instrumentation, products, and services.The candidate will also play a key role in securing competitive grants or research funding, establishing collaborations with relevant stakeholders for joint research, producing high-quality scientific papers/presentations for academic and professional audiences, disseminating research outcomes, and mentoring and supervising junior researchers. In this role, the candidate will contribute significantly to advancing the field of Artificial Intelligence at ESB - CBQF.The candidate will contribute to Bachelor’s and Master’s disciplines especially related with Scientific Programming and Artificial Intelligence that are an integral part of the academic offer at ESB and will cover gaps within this fast-developing area. His role will involve developing and delivering high-quality teaching materials and fostering an engaging and stimulating learning environment for students. The candidate should be able to demonstrate his ability to convey complex concepts clearly and understandably, inspiring students to pursue further studies in these areas. A key aspect of this position involves supervising bachelor’s, master’s, and doctoral students, building the ability to mentor and guide emerging talent. This experience should showcase his commitment to fostering the next generation of scientists and researchers, equipping them with the necessary skills and knowledge to excel in his respective fields.In addition to these responsibilities, the candidate will also contribute to addressing the needs of career professors in the biomedical field. This will involve aligning his work with the research strategies at the institution, ensuring a cohesive and collaborative approach to research and innovation.Profile:PhD degree in Computer Science, Biomedical Engineering, or related areas.Minimum of 5 years of relevant working experience in the field of computational biomedical engineering applied to biomedical engineering.Experience in handling large-scale biological data.Experience in developing and applying computational models, algorithms, and software tools for biomedical engineering problems, such as biological systems analysis, antimicrobial strategies, or data mining.Proficiency in Artificial Intelligence: Demonstrated ability to apply AI techniques, such as machine learning and deep learning, to solve complex biomedical engineering problems. Familiarity with AI platforms and programming languages, such as C++, MATLAB, TensorFlow, PyTorch, Python, or R.Supervision of PhD and master students in computer science or biomedical engineering-related topics.Participation in national and international research projects involving academic and industrial partners in the medical sector.Relevant track record of scientific publications in computer science or biomedical engineering journals or conferences.Participation in science communication activities for different target groups, especially bridging the gap between computer science and biomedical engineering.Recognition of scientific merit by international entities in the field of computer science or biomedical engineering.Ability to work in multidisciplinary teams, including partners from the industry.