Tenure-track Faculty positions in Management Science and Industrial Engineering 2026-2027

Description

IE University´s School of Science and Technology invites applications for a tenure-track or tenured faculty position in Management Science and Industrial Engineering. The successful candidate will contribute to the teaching of undergraduate courses such as Supply Chain Management, Simulation & Experimental Design, Sustainability, and Design Engineering.

The ideal candidate should demonstrate a strong research record in a field related to:

• Operations research methods and practice
• Artificial intelligence and machine learning
• Data-driven decision making and stochastic modelling
• Design engineering and human centered innovation
• Supply chain management
• Smart manufacturing and industry 4.0

A doctoral degree in management science, design engineering, industrial engineering, 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.

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 Data-Driven Decision Systems, Sustainable Supply Chains, and Smart Manufacturing & Industry 4.0. The ability to contribute to multidisciplinary research initiatives that apply management science and industrial engineering expertise to optimize processes, foster innovation, and build resilient, sustainable systems will be key to the role’s success.

Key Responsibilities:

• Develop and teach courses at undergraduate and graduate levels in Management Science and Industrial Engineering, including Supply Chain Management, Simulation & Experimental Design, Sustainability, and Design Engineering.
• Conduct high-impact research in areas such as operations research, data-driven decision making, stochastic modeling, AI and machine learning for optimization, and smart manufacturing/Industry 4.0, 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 sustainable supply chains, human-centered design, and intelligent manufacturing systems.
• Play an active role in curriculum development, incorporating emerging trends such as digital twins, sustainable operations, and AI-driven decision systems.
• 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 Excelerator 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

• A PhD in management science, design engineering, industrial engineering, or a related field is preferred. 
• Prior teaching experience and evidence of academic or professional contributions in the field will be viewed favorably.

Application Instructions

Create your dossier at Interfolio by October 30 and apply at: https://apply.interfolio.com/174946

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.

Please include a cover letter, a curriculum vitae, a research statement, a statement of teaching philosophy, and one confidential letter of recommendation. 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)

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.