Industrial PhD Student, AI and Machine Learning

Gothenburg, SE

Ref. number:  5504

Industrial PhD Student, AI and Machine Learning at Mölnlycke®


Do you want to help us make life better for millions of people?
Are you our new AI hero? Can you help us free the planet of hard to heal wounds?
Are you looking for a great Company to grow as an Industrial PhD Student?



To further enhance our performance, we are now hiring an Industrial PhD Student in AI and Machine Learning to the Medical Economics department. In this position you will be at the forefront of AI, Advanced Analytics and Med-Tech for wound care!


You will be part of a research collaboration between Mölnlycke Health Care, Halmstad University and Region Halland.

With your skills and access to real world data you will be a part of a team who is dedicated to predict the next best action for wound care patients and by that improving patients’ lives.

The Industrial PhD Student will be based at Mölnlycke HQ (Gothenburg) or Halmstad University and report to the Clinical Data Science & Statistics Manager.


Programme Description

The purpose of the position is to train as a PhD student by performing research in the interface between real world wound care data and AI. In this position you will develop your skills as an industrial PhD Student, build knowledge on care pathways and patient journeys spanning across care providers and grow to become an independent researcher able to contribute with new knowledge to the field. You will transform ideas and insights to develop and refine computational methods that will aid wound care patients in their healing journey.



  • Design and build explorative, predictive- or prescriptive models within wound care, utilizing AI and ML algorithms.
  • Develop advanced analytics and AI algorithms
  • Research wound care processes and pathways using electronic healthcare record data, spanning the full patient journey to guide and improve personalized wound care
  • Train as an industrial PhD student at Halmstad University, School of Information Technology and the CAISR Health research profile. Among the duties this includes to follow an individual study plan, attend courses and academic supervision meetings as well as writing a thesis.


Who you are

  • Energised by teamwork
  • Passionate about customers
  • Devoted to the outcome
  • Demonstrate entrepreneurship
  • Curious with a self-reflective mindset and open to change
  • Analytical mindset
  • Excellent communication, networking and collaboration skills


 Education and Experience

  • Master’s degree in computer science, statistics, machine learning, mathematics, informatics or a related field.
  • Excellent skills in scientific programming and analytical problem solving
  • Real world experience in AI and machine learning. Prior practical experience in deep learning, data mining and/or process mining is advantageous.
  • Excellent networking, collaboration, communication skills
  • Fluency in English, spoken and written
  • Eligible for attending PhD studies, sufficient for admittance to the National Research School in Health Innovation General syllabus for doctoral studies in Signals and Systems Engineering (
  • Experience in one or more programming languages such as Python, R, SAS, Matlab, Java, C
  • Experience with one or more database query languages, sql , sparql, bigquery etc

Extra meritious, any of the following

  • Knowledge of data and information management, database design and semantic data management
  • Previous experience of the medical device industry, wound care products and/or treatment
  • Prior experience in scientific research and writing
  • Experience with cloud data science services in Azure, AWS or similar


If you want a career that impacts millions of people for the good, this programme could be your next step.

We are looking forward to hearing from you!

Doctoral studies details

Duration: This position will be hired on a temporary contract corresponding to full-time doctoral studies of 4 years

Location: Gothenburg, at the Mölnlycke® headquarters.

Travel to Halmstad is required to complete doctoral education at School of Information Technology (ITE) at Halmstad University. Travel expenses are paid by Mölnlycke.


Application & assessment

We look forward to receiving your application! Upload your, personal letter and copies of transcripts & relevant degrees.
Assessment process: If you are selected as one of our possible candidates to this role you will be invited to interviews with representatives from both Mölnlycke and the University of Halmstad. Depending on how far you progress there will be a technical interview with a prepared case and a values interview.



Ernst Ahlberg - Clinical Data Science & Statistics Manager


About CAISR Health

CAISR Health is a research profile within information driven care at Halmstad University. The research is carried out in close collaboration with industrial partners Cambio, Capio Sverige, Hallandia V, Mölnlycke, Novartis, InterSystems and Visiba Care in cooperation with Region Halland and Brigham and Women’s Hospital. More information:

CAISR Health - Högskolan i Halmstad (

IDC – Information Driven Care - Högskolan i Halmstad (
Doctoral education - Halmstad University (


About Mölnlycke®

Mölnlycke® is a world-leading medical products and solutions company that equips healthcare professionals to achieve the best patient, clinical and economic outcomes. Our business is organised in the four business areas Wound Care, Operating Room Solutions, Gloves and Antiseptics, where customer centricity, sustainability and digitalisation are at the heart of everything we do. Mölnlycke® employs around 8,400 people. The company headquarters are in Gothenburg, Sweden and we operate in more than 100 countries worldwide. Since 2007, the company has been part of Investor AB, an engaged owner of high quality, global companies which was founded by the Wallenberg family in 1916. For more information, please visit and