Doctoral student in AI-powered Asset Health Indices for Smart Maintenance

Chalmers Tekniska Högskola AB; Göteborgs kommun; On-site; SEK 363,000 - 435,000; Full time

Benefits offered by this job

Employee benefits

Living in Gothenburg

Job summary

Chalmers University of Technology in Gothenburg invites applications for a Doctoral student position focused on AI-powered Asset Health Indices for Smart Maintenance. The project develops health indicators by fusing heterogeneous data to support maintenance decisions and prognostics.

The role includes collaboration with industry and academia, and may involve teaching up to 20% of the time. Start date is May 2026 with a fixed-term appointment of four years.

Qualifications

• Master's degree in relevant field (Mechanical/Production/Industrial Engineering, Automation, Data Science or Computer Science).
• Strong written and verbal English communication skills.
• Interest in maintenance, asset management, data-driven engineering, AI or prognostics/health management.
• Motivated, self-driven, curious and able to work independently while contributing to a collaborative research environment.
• For applicants with a 4-year Bachelor’s degree outside Sweden, a 4-year Bachelor’s degree is accepted.

Responsibilities

• PhD position funded for four years with possibility to teach up to 20%, extending up to five years.
• Contribute to AI-powered Asset Health Index modeling and prognostics for maintenance decisions.
• Collaborate with academia and industry, and publish results from research in lab and real-world pilots.

Skills

English language proficiency

Interest in maintenance and AI

Independent yet collaborative

Education

Master's degree (120 credits) in Mechanical/Production/Industrial Engineering, Automation, Data Science or CS

Job description

Doctoral student in AI-powered Asset Health Indices for Smart Maintenance

REF 2026-0511

How can artificial intelligence help predict equipment degradation and enable smarter maintenance decisions?

At Chalmers University of Technology, you will explore this question by developing AI-powered methods for assessing and predicting the health of industrial assets. We are looking for a Doctoral student to become part of our team at the Division of Production Systems in the Department of Mechanical Engineering . Please join our innovative team and contribute to exciting research on Production systems, AI-supported condition assessment, and maintenance decision-making in a collaborative and dynamic environment.

About us

The Division of Production Systems works with the sustainability and competitiveness of industrial production systems. The research area is system-oriented and requires knowledge about both the system as a whole and its separate components, for example humans, automation, and processes. The research highlights the different stages of a production system’s life cycle, i.e. planning, design, commissioning, operation, maintenance and reuse. Methods and research findings are generic, with applications within various industries, such as automotive, aerospace, processing and mining industries.

The people in the division form an internationally diverse, gender-balanced, and inclusive team of more than 30 cross-disciplinary researchers and support staff. Our strong international collaborative networks and advanced research infrastructure, Stena Industry Innovation Lab, make us a competitive international actor.

The Production Systems Division is part of Chalmers largest unit,the Department of Mechanical Engineering , where we unite the power of technology, people, and society to drive the transition toward a sustainable future. The department is highly ranked internationally. Through research, education, and collaboration, we create solutions that connect materials to mobility, ideas to impact – shaping a resilient and sustainable world.

About the research project

The research will develop and evaluate AI-powered Asset Health Index models that combine heterogeneous condition data, maintenance information, operational data, and expert knowledge into transparent indicators of asset condition and degradation. The work will investigate how artificial intelligence can strengthen model development, support prognostics and Remaining Useful Life estimation, and turn complex data into useful information for maintenance and asset-management decisions. Through close academic and industrial collaboration, the project will validate the models in a real-world pilot environment, with emphasis on general methods for condition assessment, risk analysis, maintenance prioritisation, and lifecycle-oriented decision support for complex technical assets.

Who we are looking for

The following requirements are mandatory:

• To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* inMechanical Engineering, Production Engineering, Industrial Engineering, Automation, Data Science, Computer Science, or another relevant field.
• Strong written and verbal communication skills in English.
• You should have a strong interest in maintenance, asset management, data-driven engineering, artificial intelligence, or prognostics and health management.
• A strong candidate is highly motivated, self-driven and curious, with excellent problem-solving skills and the ability to work independently while contributing effectively to a collaborative research environment.

*for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted.

The following experience will strengthen your application:

• Prior expertise and experience in Asset Health Index (AHI)
• Data analysis, machine learning, statistical modelling, or optimisation
• Maintenance engineering, reliability, condition monitoring, prognostics, or asset management
• Working with heterogeneous industrial data, including structured and unstructured information
• Programming and development of decision-support or simulation models
• Academic or industrial collaboration in multidisciplinary environments
• Develop your own scientific concepts and communicate the results of your research verbally and in writing
• Develop and validate Asset Health Index models by combining condition data, maintenance information, operational data, and expert knowledge
• Explore AI-supported methods for prognostics, Remaining Useful Life estimation, transparent model interpretation, and maintenance decision support
• Implement, test, and demonstrate models and decision-support concepts together with other researchers and industry participants in laboratory and real-world pilot environments
• The positiongenerally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours

Contract terms

• The Doctoral student positions are fully funded from start.
• The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years.
• A starting salary of 35,725 SEK per month (valid from May 1, 2026).
• Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn.

What we offer

• As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees.
• A dynamic and inspiring working environment in the coastal city of Gothenburg .
• Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.

If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.

Find more general information about doctoral studies at Chalmers here .

We welcome your application no later thanNovember 30th, 2026.

For questions, please contact:

Johan Stahre
Professor of Production Systems, Division manager
[e-mail]

Anders Skoogh
Professor of Maintenance Engineering
[e-mail]

We look forward to your application!

Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture.With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.