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Tenure-track Faculty positions in Computer Science: Networks and Complex Systems 2027-2028
IE University

Tenure-track Faculty positions in Computer Science: Networks and Complex Systems 2027-2028

Diverse sedi Calle Cardenal Zúñiga 12 Segovia, Spagna
Paseo de la Castellana, 259 Madrid, Spagna
2026-10-31 (Europe/Madrid)
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Location

Madrid and Segovia

Open Date

Jul 23, 2026

Deadline

Oct 31, 2026 at 11:59 PM Eastern Time

Description

IE University´s School of Science and Technology invites qualified applicants for full-time, tenure-track faculty positions in Computer Science, beginning September 2027 in Madrid. To guarantee full consideration for a position, applications must be completed by October 31st, 2026.

Applicants for this position should demonstrate a strong research record in core areas of networks and complex systems, including: graph learning, graph neural networks, network representation learning, temporal and dynamic graphs, network optimization, complex systems modeling, network science, community detection, diffusion processes, graph signal processing, knowledge graphs, multi-layer networks, hypergraphs, causal networks, recommendation algorithms.

These fundamental methods should be demonstrated through applications in domains such as: systems biology, neuroscience, epidemiology, social networks, anomaly detection, cybersecurity, multi-agent systems, swarm robotics, transportation networks, communication networks, power grids, infrastructure planning, supply chains, financial networks, or smart cities.

For more details on the research conducted at the School, see the webpages of its labs: Intelligent Systems, Datalab, EnvironmentalTech, and the Impact Xcelerator.

We offer:

  •  A friendly, professional, and stimulating international working environment with English as our working language.
  • A competitive salary in line with top ranked European academic institutions.
  • A seed research fund to cover conference, travel, equipment or relocation costs.
  • Full access to public health services through membership of the National Insurance Scheme plus a discount plan to acquire an additional private health insurance plan.
  • Newly incoming high-qualified workers in Spain are entitled to a considerable income tax reduction.
  • Diversity in an open-minded, inclusive and family-friendly environment.
  • Inspiring campus life on a conveniently located, architecturally unique campus in the heart of Madrid and Segovia.

About IE University and the School of Science and Technology

IE University is an internationally recognized institution originally founded as a business school. We consider ourselves the most international institution of higher education with approximately 85% of our students coming from outside Spain and typically over 120 countries represented on campus. Our Madrid postgraduate campus is situated in the financial district of this vibrant, cosmopolitan capital city of over 5 million people. In 2021 we opened the IE Tower –standing as one of the 5 towers in the business district of Madrid with a 6000-student capacity.

The School of Science and Technology prepares students with industry relevant skills in the context of STEM and related educational programs. The school offers undergraduate and graduate degrees in Computer Science, Artificial Intelligence, Applied Mathematics and Data analytics. Our Master’s in Business analytics and Big Data had our university ranked No. 7 globally for Master's in Business Analytics. 

The school boasts a diverse and international faculty of engineers, computer scientists, applied mathematicians, and experts in AI, cybersecurity, NLP and information technologies. 

The IE Impact Xcelerator offers new faculty the opportunity to participate in applied research labs in collaboration with research groups and companies in fields like healthcare, environmental science, finance, and cybersecurity, profiting from the rich network of IE Business School.

Qualifications

  • PhD in computer science, computer engineering, or a closely related discipline.
  • Excellence in research evidenced primarily by sustained contributions and publications in top-ranked and field relevant journals.
  • Independence and ability to lead research projects in your field. New faculty is expected to submit research proposals to attract funds in competitive calls.
  • Ability to participate in applied research and knowledge transfer in interdisciplinary teams at the interface between technical and application-oriented domains.
  • Strong commitment to teaching curricula in and around computer science.
  • Spanish language skills are not required. Our working language is English. Both our faculty and student body are highly diverse and international.

Application Instructions

Create your dossier at Interfolio by October 31st and apply at: https://apply.interfolio.com/190002

Please include a CV and cover letter, research and teaching statements, and three reference contacts. You may also add teaching evaluations and sample course syllabi to your dossier. 

For questions about your dossier go to: Interfolio Dossier Help

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

IE University is strongly committed to non-discriminatory hiring practices, and encourages applications from individuals who will further expand the diversity of our faculty.

Dettagli del lavoro

Titolo
Tenure-track Faculty positions in Computer Science: Networks and Complex Systems 2027-2028
Datore di lavoro
Sede
Calle Cardenal Zúñiga 12 Segovia, Spagna
Paseo de la Castellana, 259 Madrid, Spagna
Pubblicato
2026-07-24
Scadenza candidatura
2026-10-31 23:59 (Europe/Madrid)
2026-10-31 23:59 (CET)
Salva lavoro

Informazioni sul datore di lavoro

IE University is an institution of higher learning that specializes in training impactful leaders capable of creating a better tomorrow.

Visita la pagina del datore di lavoro

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