Professor or Associate Professor in Supply Chain Management

Ntnu; Trondheim; Presencial; NOK 1.000.000 - 1.300.000; Jornada completa

Descripción de la vacante

NTNU's Department of Mechanical and Industrial Engineering seeks an Associate Professor or Professor in Supply Chain Management to join the Production Management Research Group in Trondheim. The successful candidate will conduct international level research, build industrial networks in Norway, secure external funding, and teach across bachelor, master and PhD levels while advancing the Logistics4.0 Lab.

They will contribute to developing state-of-the-art supply chains and collaborate with

Formación

• Must have a PhD in a relevant field and a strong research record in supply chain management.
• Track record of obtaining external research funding and international collaborations.
• Experience with qualitative and quantitative research methods.
• Experience in teaching and supervising master/PhD students and developing innovative teaching activities.
• Excellent oral and written English skills.

Responsabilidades

• Conduct internationally recognized research in supply chain management and publish in top journals.
• Actively build and maintain industrial networks in Norway.
• Initiate and manage externally funded research projects and collaborations.
• Contribute to development of the research area and the Logistics4.0 Lab.
• Teach across bachelor, master and PhD programs and supervise students.

Conocimientos

Supply chain mgmt

Research leadership

External funding

Teaching & supervision

English fluency

Educación

PhD in related field

Herramientas

Python

Simulation tools

Descripción del empleo

At the Department of Mechanical and Industrial Engineering we are looking for a

Professor or Associate Professor in Supply Chain Management

NTNU is a broad-based university with atechnical-scientific profile and a focuson professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 44,000 students work to create knowledge for a better world.

Supply chains are at the core of industrial competitiveness, sustainability, and resilience. As industries face the twin transitions of digitalization and the Green Shift, advances in artificial intelligence, data analytics, and automation are creating new opportunities to transform how supply chains are designed, managed, and improved.

We are seeking an Associate Professor/Professor in Supply Chain Management to join the Production Management Research Group at the Department of Mechanical and Industrial Engineering (MTP) at NTNU, an internationally recognized environment for research in production, logistics, and industrial systems. Supported by the state-of-the-art Logistics 4.0 Lab, the group conducts cutting-edge research in close collaboration with industry and leading international partners, with projects funded by the EU, the Research Council of Norway, and other major funding bodies. We are looking for an experienced researcher who can strengthen and expand our capabilities through research excellence, industry engagement, and external collaboration. You bring a strong understanding of industrial challenges and opportunities, enabling you to build meaningful partnerships and translate research into impact. Through your experience, professional network, and fresh perspectives, you will help shape new research directions, strengthen our collaboration with industry, and further develop our international standing. As part of our group, you will contribute to developing future engineers and managers capable of designing, implementing, and improving integrated supply chains that connect people, products, materials, information, technologies, and resources across the entire value chain.

Department of Mechanical and Industrial Engineering (MTP) at NTNU offers a vibrant and interdisciplinary research environment spanning logistics, production management, robotics, product development, materials science, and risk and reliability. We combine academic excellence with strong industrial relevance and are committed to fostering an open, collaborative, and inclusive community.The department offers education at all levels, from Bachelor's and Master's programs to PhD studies, within mechanical- management-, and industrial engineering, along with ICT.

We welcome candidates who take a holistic and interdisciplinary approach to supply chain management, combining perspectives from industrial engineering and management, and decision science, with computer science, social science, natural science. Particular interest will be given to research addressing the role of emerging technologies, such as AI and digital technologies in enabling resilient, sustainable, circular, and high-performing supply chains that support the future of Norwegian and global industry, as well as their seamless integration in raw material sourcing, product development and supply chain design, and end-of-life product and material recovery and r-strategies.

Your immediate leader is Head of Department.

Duties of the position

• international level research in the scientific area ofsupply chain management, resulting in publications in internationally top ranked journals in your field
• actively build and maintain industrial supply chain network in Norway
• initiate new research projects through active interaction with industry and the funding bodies (e.g. EU and The Norwegian Research Council)
• initiate, participate in, and manage externally and internally funded research projects
• contributing to, fronting and leading the development of the research area within your field of research
• teaching at bachelor, master and PhD levels in all the study programs taught in the department
• supervision of bachelor, master and PhD students and provide mentorship to Postdocs and researchers
• contribute to the development and the activities of the Logistics4.0 Lab

To qualify for this Professor or Associate Professor position, we require the following:

• your academic research production must be within the field of supply chain management
• you must have minimum 5 year of experience (after PhD) either from supply chain work in industry or research in academia
• you must document a track record of collecting external research funding if your work experience is from academia
• you must have experience of applying qualitative methodologies, in particular case research, action research, conceptual modelling in supply chain management.
• you must have experience of applying quantitative methodologies, in particular analytical modelling and data-driven (AI-based) modelling, and knowledge in programming and simulation tools for supply chain management.
• you must have publications in highly ranked journals in your field. Scientific articles published in the last five years (excluding career breaks) with relevance for the research areas mentioned above and where interdisciplinary approaches are used will weigh strongest in the evaluation and ranking. The scientific publication record will be evaluated in light of the length of the applicant's academic career taking into account the research field.
• you must have documented experience as researcher/post-doc or equivalent.
• you must have documented experience at least in preparing research funding applications (EU level will be preferred) and you must show ability to define proper attractive research. For professorship position, you must have documented experience in successful funding applications and managing roles in research projects.
• you must have documented experience in teaching, supervising master students, and assisting the supervision of PhD students and you must show ability to define innovative teaching activities. For professorship position, you must have documented experience in supervising PhD students
• you must have collaboration experience with industry and/or public sector
• you need excellent oral and written English language skills

You must document relevant basic competence for teaching and supervision at university/higher education-level, ref. Regulations