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Tenure-track Faculty positions in Mathematics: Computational Modeling and AI 2026-2027
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IE University´s School of Science and Technology invites applications for a full-time faculty position in Mathematics: Computational Modeling. The successful candidate will contribute to the teaching of undergraduate and graduate courses such as Numerical Methods, Ordinary and Partial Differential Equations, Dynamical Systems, Complex systems, Network theory and Applied Physics.
The ideal candidate should demonstrate a strong research record in a field closely related to:
- Computational and experimental modeling of physical systems.
- Differential equations and numerical methods.
- Physics-informed Neural Networks (PINNs) and AI-driven modeling approaches.
- Mathematical foundations of AI.
- Mathematical physics, nonlinear dynamics, and complex systems
- Applications in neuroscience, energy systems, climate dynamics, or life sciences.
A doctoral degree in Applied Mathematics, Computational Engineering, Physics, or a related field is preferred. Prior teaching experience and evidence of academic or professional contributions in the field will be viewed favorably.
Faculty are expected to engage in high-quality research, pursue external funding, and contribute to curriculum development and university service.
Impact Xcelerator Collaboration
We value candidates with the capacity to collaborate in applied research projects led by the Impact Xcelerator at IE School of Science and Technology, specifically in AI for Scientific Discovery, Advanced Simulation for Energy & Sustainability, Robotics & Autonomous Systems, and Health & MedTech Applications.
The ability to contribute to multidisciplinary research initiatives that integrate computational modeling and applied physics expertise to address global challenges will be key to the role's success.
Key Responsibilities:
- Develop and teach courses at undergraduate and graduate levels in Computational Modeling and Applied Physics, including Numerical Methods, Differential Equations, Complex Systems, Dynamical Systems, Network theory and Applied Physics.
- Conduct high-impact research in areas such as multi-physics simulations, nonlinear dynamics, scientific computing, HPC, control theory, physics-informed neural networks, and computational/experimental modeling of physical systems, while actively securing competitive research funds.
- Supervise and mentor students across undergraduate, graduate, and Ph.D. programs.
- Collaborate with industry and research partners on innovative projects in robotics, sustainable energy, climate dynamics, and biomedical systems.
- Play an active role in curriculum development, incorporating emerging trends such as AI for scientific discovery, uncertainty quantification, and advanced simulation technologies.
- Participate in academic service and contribute to the strategic growth of the School of Science and Technology.
We offer:
- A competitive salary in line with top-ranked European academic institutions.
- A generous seed research fund to cover travel, equipment and relocation costs.
- State-of-the-art campus facilities and support to build your lab infrastructure.
- A professional and stimulating international working environment with English as the de facto language.
- 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.
- Diversity in an open-minded, inclusive, and family-friendly environment.
- Inspiring campus life on a conveniently located, state-of-the-art, unique campus in the hearts 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. For further information on the current faculty and lines of research, please visit IE Research Datalab
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.
- A PhD in Applied Mathematics, Computational Engineering, Physics, or a related field is preferred.
- Prior teaching experience and evidence of academic or professional contributions in the field will be viewed favorably.
- Fluency in English is required; proficiency in Spanish is desirable but not mandatory.
