Master thesis: Explore utilization of AI within Operational Excellence

Location

Rörverk 2012, Sweden

Are you a curious and driven master’s student with a passion for AI and technology? Join us at Alleima during spring 2027 for an exciting thesis opportunity!

Location: Sandviken

Possible topics for the thesis project

• In the business, there is equipment that currently requires physical presence, as we do not feel comfortable leaving it unattended. At the same time, there is potential to use sensors, data analytics, and basic AI to detect deviations, identify patterns, and, over time, predict failures before they occur. We therefore want to explore how a scalable and cost-effective condition monitoring system could be designed, with a focus on combining sensor data, analytics, and visualization into an initial working concept.

• AI is developing rapidly and offers new opportunities across many parts of the business, but it is not always clear where the technology creates the greatest value in our specific context. We therefore want to take a broader approach to AI in operations and let a thesis student map, prioritize, and test possible applications – from ideas to simple prototypes. The aim is to build a better understanding of where AI can create business value, and to develop concrete proposals for continued development and investment.

• The business generates large amounts of data related to production, quality, deliveries, and resources, but the connection between data and actual decision-making is not always clear or systematic. We see an opportunity to use data analytics and AI to better understand the relationships between production parameters and outcomes, and to support planning, prioritization, and follow-up based on business goals and KPIs. The assignment aims to explore how data-driven decision support can be developed in an operational environment.

• Quality control in production currently includes steps that rely on manual inspection or limited system support. At the same time, developments in computer vision have made it possible to automatically detect and classify deviations in images and video. We want to explore how these techniques can be applied in our environment to improve quality assurance, increase repeatability, and reduce reliance on subjective assessments.

Your profile

We are looking for a student at the Master’s level studying Industrial Economy, Technical Physics, Data Science, Advanced Analytics, AI & Machine Learning or similar. Good written and spoken communication skills in English are required, Swedish is a plus.

Depending on the thesis topic, we are looking for candidates with experience in areas such as data modelling and basic BI tools (Power BI or similar), databases/SQL, machine learning/data analysis, basic programming in Python to build simple analyses, prototypes, experience in Computer Vision/Deep Learning such as CNNs, detection and segmentation, as well as practical experience with OpenCV and preferably YOLO or similar detection models, is also relevant. Knowledge of statistics, experimental design, and causal relationships is considered beneficial.

Your personal qualities are essential for this role. We are looking for someone who is curious, analytical and structured, with a strong quality mindset and the ability to turn complex problems into testable hypotheses. You enjoy working close to the business, translating data and insights into decisions, priorities and practical solutions. You are communicative and collaborative, and comfortable engaging with different stakeholders to understand needs, define requirements and align on goals and KPIs. You take a proactive and hands-on approach, enjoy testing ideas quickly, building simple prototypes and iterating based on learnings. As the work may involve data quality, labelling, integration and troubleshooting, you are patient, detail-oriented and persistent. A safety-conscious mindset and an interest in creating robust, reliable solutions are also important.

What you can expect from us

At Alleima, we are convinced that diversity and inclusion lead to a better workplace for our employees, our company and our customers.

We care: We are proud of what we do. We care about our customers, our employees, the environment, the communities in which we operate and the future we share.

We deliver: We deliver on our commitments, with a solution-oriented mindset we enable our customers to be their very best: more efficient, more profitable and more sustainable

We are developing: We are constantly developing. Together, we take the lead to advance materials, ambitions, industries, ourselves – and communities for the better.

Additional information

As a part of the hire process alcohol and drug tests are conducted according to our procedures for a safe working environment.

For more information about the position contact:
Carl Adelmar, Supervisor, +46 70-313 90 61

For more information about the recruitment process, please contact:
Frida Carlsson, Recruitment Specialist, +46 73-599 76 14

You are welcome with your application no later than 2026-09-30.

About Alleima

At Alleima, our mission is much more than delivering high-quality products, technology and processes – through collaboration we develop the best solutions according to our customers' needs and that this is how we achieve our business goals is the best way to describe our daily work. With curious employees and safety as our first priority, we create a work environment where you can develop both as a person and in your work.    

With a clear direction for our journey, where we use our position as technology leader, progressive business partner and where we are driving in terms of sustainability, we aim to become an even stronger company within our industry. 

 

Are you ready to take on this challenge with us? Join us on our journey! www.alleima.com