查尔姆斯理工大学PhD Position in AI-powered Asset Health Indices for Smart Maintenance申请条件要求-申请方
主办方
查尔摩斯工学院
PhD直招介绍
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( https://www.chalmers.se/en/departments/me/research/production-systems/ ) in the Department of Mechanical Engineering( https://www.chalmers.se/en/departments/me/ ). 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( https://www.chalmers.se/en/departments/me/research/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( https://www.chalmers.se/en/departments/me/ ), 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.
What you will do
Take courses at an advanced level within the Graduate school of Product and Production Development (Product and production development | Chalmers( https://www.chalmers.se/en/research/doctoral-studies/graduate-schools/product-and-production-development/ ))
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 position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours
We look forward to your application!
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
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.
查尔摩斯工学院 PhD Position in AI-powered Asset Health Indices for Smart Maintenance项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
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 ( https://www.chalmers.se/en/about-chalmers/work-with-us/ ) and our benefits( https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/ ) for employees.
A dynamic and inspiring working environment in the coastal city of Gothenburg( https://www.goteborg.com/en ).
Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg( https://www.movetogothenburg.com/ ).
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence( https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality-at-chalmers/genie-gender-initiative-for-excellence/ ). We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.
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( https://www.chalmers.se/en/research/doctoral-studies/about-doctoral-studies/ ).
查尔摩斯工学院Phd申请条件和要求都有哪些？PhD Position in AI-powered Asset Health Indices for Smart Maintenance项目是不是全奖？有没有奖学金？下面我们一起看一下查尔摩斯工学院申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
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* in Mechanical 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
报名方式
申请链接
招生人信息
Johan Stahre
,Anders Skoogh
Professor Email：
johan.stahre@chalmers.se
anders.skoogh@chalmers.se
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