• Analysis – understanding and explaining existing V+ code, its structure, dependencies and behavior
• Documentation – producing the functional and technical documentation that is missing today
• Code drafts – generating first-draft code for the target platform for an engineer to review and complete
• Test generation – deriving test cases and verification criteria from the original application

For each area we want a measured answer: how much of the work could AI do, what was the quality, how much rework did an engineer have to put in, and how much time was saved in total?

What this project is not

The goal is explicitly not a fully automated, production-ready conversion. Success is a clear, well-substantiated picture of where AI helps and where it does not and a working method we can reuse. A result showing limited benefit is a perfectly acceptable outcome. We are after an honest answer, not a positive one.

Work description

The project runs as a proof of concept in five phases. All verification is done virtually against a 3D model; no commissioning on physical equipment is involved.

1. Scoping and reference behavior

• Together with your supervisor, select one small and well-defined part of a V+ application – a single sub-sequence or program module – as the case for the whole project
• Establish a measurable reference behavior for that part – motions, I/O, sequence logic and interfaces to surrounding equipment. This is what every later result is judged against
• Define up front how AI contribution will be measured in each of the four areas, so the comparison is fair and repeatable

2. AI-assisted analysis

• Use two or three AI tools to interpret and explain the V+ code: structure, control flow, dependencies and implicit assumptions
• Assess correctness against the reference behavior – what did the tools understand, what did they miss, and what did they state confidently but wrongly?

3. AI-assisted documentation

• Generate functional and technical documentation of the selected part with AI support
• Evaluate how much of the output is usable as-is, how much needs editing, and how it compares with documenting the same code manually

4. AI-assisted code drafts and test generation

• Produce first-draft code for the target platform with AI support, intended for engineering review rather than direct use
• Generate test cases and verification criteria from the original application
• Document failure patterns systematically. Where the tools go wrong is at least as valuable a result as where they succeed

5. Verification against a 3D model, and recommendation

• Build a simplified kinematic 3D model of the equipment – reusing existing CAD material where it exists – and run the reviewed code against it to verify motions, sequence and I/O against the reference behavior
• Summarize the measured AI contribution per area, with an estimate of time and cost saved compared with a fully manual approach
• Recommend how Sandvik Coromant should work with AI support in future modernizations, which steps to use it for, which to keep entirely in engineering hands, and what is needed to scale the method

Scope and limitations

• The work covers one small part of one V+ application, not a complete program or machine
• Verification is virtual. Commissioning on physical equipment is not included
• The 3D model is kinematic and limited in scope. Physics modelling, cycle time optimization and full mechatronic simulation are out of scope
• The project covers control and software, not mechanical rebuild
• Safety functions are analyzed and documented, but safety design and certification remain with our engineers and are not delegated to AI tools in this project

Location

In place at Gimo, Sweden.

Student background

We are looking for one student with an interest in automation and a healthy skepticism towards tools that produce confident-looking output.

• You are in the final year of a Master’s or Bachelor’s degree in automation, mechatronics, electrical engineering, computer engineering, or a related field
• Basic knowledge of PLC programming and/or industrial robotics
• Interest in simulation and virtual commissioning (experience with CAD or 3D simulation is an advantage)
• You work systematically and critically, and are comfortable measuring and documenting results rather than only building things
• Good communication skills in English or Swedish

Experience of AI tools for software development is a plus.

Our culture

At Sandvik, we’re tech-driven, innovative, and entrepreneurial. We believe that success is a team effort, so we value diversity and are committed to creating an inclusive culture where people can be themselves and reach their full potential. We invest in supporting each other, learning together, and celebrating our differences. Visit our stories hub , LinkedIn , or Facebook to get to know us better.

Duration of the project

The thesis project corresponds to 30 credits and lasts approximately 20 weeks, starting at the beginning of 2027. Upon completion and approval of the thesis, Sandvik offers lump-sum compensation.

Contact information

For further information about this project, please contact Jacob Bexenius, Engineering Blanks Manager, .

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How to apply

We have an ongoing selection process for this project and ask you to send your application as soon as possible, but no later than November 20, 2026. Click Apply and include your resume and cover letter in English. Please note that we don’t accept applications by email. Job ID: R0097667.