Tenure-track Faculty position in Applied Mathematics: Operations Research 2025-2026

Job Title: Assistant Professor in Applied Mathematics
Location: IE University (Madrid, Segovia)
Department: School of Science and Technology
Start Date: 1 September 2025

Position Overview: IE University’s School of Science and Technology is seeking an outstanding candidate for a full-time faculty position in Applied Mathematics with a specialization in Operations Research (OR). We look for candidates who have expertise in areas such as optimization techniques, stochastic modeling, supply chain management, decision analysis, and mathematical programming. The successful candidate will contribute to both research and teaching, exploring innovative solutions to complex real-world problems in areas like logistics, manufacturing, finance, and healthcare.

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 one of the three focus areas: Climate/Energy, Healthcare, or Financial Systems. The ability to contribute to multidisciplinary research initiatives that apply cutting-edge technologies to real-world challenges in these sectors will be key to the role’s success, providing opportunities to work closely with industry partners and stakeholders to drive innovative solutions.

Key Responsibilities:

• Develop and teach undergraduate and graduate courses in Operations Research, including topics such as Optimization, Stochastic Processes, Game Theory, Supply Chain Analytics, Decision Analysis, and Simulation.
• Lead high-quality, innovative research projects in areas such as combinatorial optimization, queueing theory, inventory management, network optimization, or financial engineering, while actively securing competitive research funds.
• Supervise and mentor undergraduate, graduate, and Ph.D. students, guiding their academic and professional development.
• Collaborate with other departments and industry partners to apply operations research methodologies to address real-world challenges in various sectors related to the Impact Xcelerator Labs.
• Lead interdisciplinary research initiatives and contribute to advancing the field of data-driven decision-making and operational efficiency.
• Participate in curriculum development, incorporating experiential learning and industry-driven case studies.
• Contribute to the academic service of the School of Science and Technology, helping to enhance its visibility and impact in the field of operations research.

Required Qualifications:

• A Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a closely related field.
• Demonstrated research excellence in optimization, stochastic modeling, simulation, or quantitative decision-making.
• A strong publication record in top-tier journals and conferences in operations research and related fields.
• Commitment to teaching excellence, with experience designing and delivering courses at the undergraduate and graduate levels.
• Ability to work collaboratively with faculty, students, and industry partners on interdisciplinary projects.

Preferred Qualifications:

• Experience working on applied projects in fields such as logistics, transportation, manufacturing, finance, or healthcare, where operations research methodologies play a key role.
• Expertise in the use of machine learning or AI techniques to enhance traditional operations research models.
• Proven success in securing research funding or leading large-scale research projects.
• Interest in developing industry partnerships to apply OR methodologies to real-world business problems.
• Familiarity with data-driven optimization, computational algorithms, or simulation modeling.

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.

Application Instructions

Please include a cover letter and a curriculum vitae, a research statement, a statement of teaching philosophy and one confidential recommendation letter. You may include teaching evaluations and sample course syllabi in your dossier. 
Pre-submission inquiries about the open positions may be addressed to Prof. Dae-Jin Lee (Dae-Jin.Lee@ie.edu). For general enquiries, contact Sara Flores sara.flores@ie.edu  Associate Director of Faculty Affairs.

Create your dossier at Interfolio and apply at:  http://apply.interfolio.com/157883

We will start screening after December 15.  Applications received until this date will be considered for the first round of interviews. The position will remain open until it is filled.

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 (https://www.ie.edu/ieresearchdatalab/). 
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 the IE Business School.