Tenure-track Faculty positions in Mathematics: Computational Modeling and AI 2026-2027

Karlstad University; Segovia; Presencial; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

A prestigious institution in Spain invites applications for a full-time faculty position in Mathematics, focusing on Computational Modeling. Ideal candidates will have a PhD and a strong research background in areas such as numerical methods and physics-informed neural networks. Responsibilities include teaching undergraduate and graduate courses, conducting impactful research, and mentoring students. A competitive salary and a supportive academic environment are provided.

Servicios

Competitive salary

Generous seed research fund

State-of-the-art campus facilities

Full access to public health services

Diverse and inclusive environment

Formación

• Demonstrate a strong research record in computational modeling.
• Fluency in English; proficiency in Spanish is desirable.
• Prior teaching experience in relevant fields.

Responsabilidades

• Develop and teach undergraduate and graduate courses.
• Conduct high-impact research and secure funding.
• Supervise and mentor students across programs.
• Collaborate on projects in robotics and energy.

Conocimientos

Computational modeling

Numerical methods

Differential equations

Physics-informed Neural Networks

High-performance computing

AI-driven modeling

Educación

PhD in Applied Mathematics, Computational Engineering, or Physics

Descripción del empleo

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.

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.

Qualifications

• 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.

We will start screening on November 1st. Applications received by this date will be considered for the first round of interviews. The position will remain open until it is filled.

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.