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Key skills in this ad
Skills and tools
LLM
GDPR
Languages
English
Qualifications
your degree
Picked out automatically from the employer's ad. Read the full description before applying.
About this role
With a passion for life
Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers – and to save more lives, we need team players, forward thinkers, and game changers.
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Turn a broad, stressful search into a focused weekly routine.
Are you looking for an inspiring career? You just found it.
At Getinge, our passion is to ensure that every person and community has access to the best possible care. Every day we collaborate to make a true difference for our customers — and to help save more lives. Are you looking for an inspiring environment for your degree project? You just found it.
About the team
Our team in Solna develops the user-interface software for Getinge’s mechanical ventilators — software used at the bedside in intensive care, developed under the quality constraints of a regulated medical-device industry (ISO 13485, IEC 62304). You would join a small, collaborative engineering team and work closely with us throughout your project.
Background
AI, and large language models (LLMs) in particular, are increasingly being explored as a way to support software development and quality-assurance work. This raises a genuinely open and important problem: an LLM does not produce exactly the same output every time, so re-running the same task can yield slightly different results. For most software that is harmless — but for tools used in the development or quality assurance of safety-critical medical-device software, it raises a question that currently has no established answer:
Your thesis
How do you validate an AI-assisted tool whose output is non-deterministic, within a regulated framework (ISO 13485 / IEC 62304)?
Your thesis will tackle exactly that question. Using a real internal tool and real data as the vehicle, you will investigate and propose a validation methodology for AI-assisted, non-deterministic tools in regulated medical-device development. The work is both academically novel and directly useful to us. Likely directions (focused with your academic supervisor):
Measuring and bounding the variability of AI output (run-to-run agreement, consistency metrics) and what level is acceptable.
Techniques to make AI-assisted results more reproducible and auditable.
What verification, risk analysis, traceability and acceptance criteria such a tool needs under ISO 13485 / IEC 62304.
A practical, defensible validation framework the team could adopt.
What you will do
The research is grounded in real engineering. Alongside the scientific work, you will help strengthen and mature the tool itself — building an evaluation dataset and benchmarking AI output against human expert review, hardening and testing, and contributing to software-validation activities. We are looking for someone who enjoys both sides: the curiosity of a research question and the craft of solid engineering.
Who you are
Required
Eligible to start a master-level thesis (30 hp) in computer science, software engineering, engineering physics, biomedical engineering or a related field (civilingenjör or equivalent).
Solid software-engineering skills and the ability to work independently and in a team.
Structured, analytical and quality-minded, with good written English.
If you have the following, we see it as a merit
Interest in or experience with applied AI / large language models.
Interest in software testing, verification and validation.
Curiosity about quality and regulatory frameworks (ISO 13485, IEC 62304) — no prior experience required.
Why apply
Work on a real, in-use tool and a genuinely open research question at the intersection of AI, software engineering and medical-device quality — real impact, not a toy problem.
Close mentorship from an experienced, collaborative team; a strong springboard into a medtech or applied-AI career.
You arrange an examiner/supervisor at your university; we provide on-site supervision. A confidentiality agreement will apply.
How to apply
Send your CV, a short cover letter on why this project interests you, and your grade transcript.
Applications will be reviewed continually, and we therefore recommend sending us your application as soon as possible, but no later than 30 December 2026.
We kindly ask you to submit your application in our recruitment system by clicking the “apply now” button. Due to GDPR regulations we do not accept applications via e-mail.
About us
With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.
Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.
Swedish
Pay
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