University Professor - Computer Science & AI - Full Professor (Catedrático de Universidad)

Further Details

This academic opportunity is for a Full Professor (Catedrático de Universidad) in Computer Science and Artificial Intelligence at the Autonomous University of Madrid's Higher Polytechnic School. The role emphasizes both teaching university-level courses and conducting advanced research in Information Retrieval. Candidates must meet specific national accreditation requirements for university teaching staff. This position is ideal for experienced academics looking to make a significant impact in a renowned Spanish university. The focus on AI and Information Retrieval aligns with current technological advancements, offering a dynamic research environment. Additionally, Education Management jobs in Galicia are available for qualified candidates. Successful applicants will play a key role in shaping the future of computer science education and research.

University Professor - Computer Science & AI - Full Professor (Catedrático de Universidad)

The Autonomous University of Madrid is actively recruiting a distinguished Full Professor (Catedrático de Universidad) to join its esteemed Higher Polytechnic School. This pivotal role focuses on Computer Science and Artificial Intelligence, with a strong emphasis on research in Information Retrieval. The ideal candidate will be a seasoned academic with a proven track record in both teaching and research, dedicated to fostering innovation and excellence.

This academic position offers a significant opportunity to contribute to a leading educational institution in Spain. The professor will be instrumental in guiding students through advanced coursework and leading impactful research initiatives. Join a dynamic academic environment committed to pushing the boundaries of knowledge in AI and computer science.

• Job Title: Full Professor (Catedrático de Universidad)
• Specialization: Computer Science and Artificial Intelligence
• Department: Higher Polytechnic School
• Location: Galicia, Spain
• Key Responsibilities: Teaching and Research in Information Retrieval
• Required Qualification: PhD and National Accreditation
• Application Deadline: 18 December 2026

Skills

• Teaching university-level courses
• Conducting research in Information Retrieval
• Possess a C1 level certification in Spanish or equivalent
• Meet national accreditation requirements for university teaching staff
• Ability to mentor students

Duties and Responsibilities:

• Deliver lectures and conduct classes in Computer Science and Artificial Intelligence subjects
• Engage in scholarly research in the field of Information Retrieval
• Supervise postgraduate students and research projects
• Contribute to the academic and administrative functions of the department
• Stay abreast of advancements in AI and related fields

How to apply

• Eligibility: Applicants must be Spanish nationals or citizens of an EU Member State, or nationals of states with free movement of workers agreements with Spain.
• Language Proficiency: Non-Spanish nationals must demonstrate a knowledge of Spanish certified with an official C1 level of the CEFR or equivalent. This position represents excellent high salary jobs in the region. Native Spanish speakers are exempt.
• Health and Conduct: Candidates must not suffer from any illness or physical impairment preventing the performance of duties, nor have been dismissed from public service due to disciplinary proceedings or court disqualification.
• Accreditation: Applicants must be accredited for the University Teaching Staff (Full Professors) in accordance with Royal Decree 678/2023 or Royal Decree 1312/2007.
• Application Submission: Ensure all participation requirements are met by the application submission deadline and until the moment of taking office.
• Required Documents: Proof of nationality and other requirements must be provided with certified documents from the applicant’s country of origin, translated into Spanish.
• Application Portal: Apply through the official application link provided.
• Deadline: Submit your application by 18 December 2026.