Ambu A/S i currently looking for a Student Assistant to join our Algorithms team in Ballerup.

Are you a student in computer science/engineering or medicine? Do you have an interest in AI and Deep Learning? Do you want to kick-start your career by joining a leading Medical Devices company? 

Then this might be your defining moment. Apply today and join us as our new Student Assistant, Data Annotation. 

At Ambu, we are passionate about applying deep learning to medical imaging to facilitate novel and effective clinical workflows. We have a strong business and supportive management to back us up, and we believe that we are in a unique position to support doctors in ways that have not been possible before. 

The Position 

To expand Ambu’s Endoscopy Artificial Intelligence team, we are currently looking for a student to help annotate endoscopic videos and images. Consistent, high-quality data is the foundation of successful artificial intelligence algorithms, and we need your help making this happen. You will work with real-world medical data, performing annotation, and quality assessment alongside the engineers of the team. 

For each task, you will receive relevant training. This means that you will be equipped with the relevant knowledge within the medical field, including anatomy, pathology, and the handling of the endoscopes. With this knowledge you will work structured, consistent, and detail-oriented to process the data used for artificial intelligence development. Your tasks will include annotation, quality assessment, and coordinating with other student workers and engineers. 

Key responsibilities

• Annotating data to match the wanted outcome of the deep learning applications 

• Quality assurance of data 

• Compare medical imaging data to match anatomical or pathological literature descriptions 

• Identify outliers and inconsistencies in datasets 

Suggested candidate profile 

We recognize that skills and experiences can be earned in many different ways, and we understand that the best fit for the role cannot fully be described on paper. However, we imagine you are: 

• A student within computer science/engineering or medicine 

• Comfortable working with computers and digital tools 

• Proficient in English, both written and spoken 

Nice to have: 

• Knowledge of AI and Deep learning 

• Knowledge about human anatomy, pathology, and physiology 

• Interest to work with medical imaging data 

• Ability to work structured, detail oriented, and efficient 

The role is primarily flexible and can be performed remotely. Occasional on‑site presence at Ambu’s headquarters in Ballerup may be expected to support collaboration with the AI engineering team, depending on project needs and capacity. 

We expect you to work approximately 10 hours per week on average.  Please note that you will be expected to sign a Non-Disclosure Agreement (NDA). 

You can get more information about this student position by contacting the AI Team Manager, Lee Lassen (leel@ambu.com). If this opportunity has sparked your interest, we encourage you to apply as soon as possible and no later than: 

01/09-2026