Machine-Learning Industrial PhD Student in MedTech

Would you like your work to make a difference? Do you have the skills to work at the edge of technology? Do you have a research interest in machine learning? Then join us as Medfield Diagnostics’ new industrial PhD-student and perform research towards your PhD degree at the same time as your results and contributions immediately are applied in the development of life saving diagnostic systems. In this job you will also work in a research and development team to transform a promising start-up with a unique technology to a company that delivers high-quality products that will change pre-hospital diagnosis – and save lives. Medfield Diagnostics is a truly networked company with a small core-team, setting the agenda and driving execution.

About the job

In collaboration with Chalmers, Medfield offers this industrial PhD student position with the following research question: “How do we apply AI and machine learning to the diagnostics of trauma and stroke patients in pre-hospital settings.” You will be connected to a research group at Chalmers with growing research activities within AI and machine learning. The entire society is experiencing an explosion of activities within AI and machine learning and Chalmers is part of this development through funding initiatives from the Wallenberg foundation and Chalmers foundations. As a machine-learning industrial PhD student, you are also expected to have a vital role in the R&D team at the company and contribute to solve problems and identify improvements using measurements, simulations and theoretical analysis. Your main area of responsibility is the planning and development of machine learning methods on all levels, from preprocessing and data handling to benchmarking, verification and deployment. You will also communicate with our clinical trial centers to ensure the integrity, quality and structure of clinical data.  Apart from your main focus area, you may also be involved in other required tasks at Medfield, e.g. writing specifications or performing verifications.

Qualifications

  • A M.Sc. with a great interest in and a basic knowledge in machine-learning and classification algorithm development.
  • Proficiency in Matlab and/or Python.
  • Proficiency in machine learning packages such as scikit-learn and Keras is advantageous.
  • Ability to clearly express yourself orally and written in English.

We are interested in new graduates as well as you who have worked some years in machine learning or a similar area and are interested in pursuing PhD studies.

To be successful in this role you need to be analytic and pay attention to details. You are able to handle uncertainty, are open to change and like a challenge. You also have an innovative mind and takes own initiatives.

Last but not least, result orientation and dedication is a must. Medfield is still a small company where you will be involved in all aspects of R&D.  You must be a team player that enjoys working with others, and you shall be willing to assist wherever needed and walk the extra mile to achieve our goals.

We look forward to reviewing your qualifications and hope to contact you soon.

Send your application, including a CV, to careers@medfielddiagnostics.com with “Machine-Learning Industrial PhD student” as mail subject. Questions are answered by Harald Jacobsson at +46 722 44 96 65

About Medfield Diagnostics

Medfield Diagnostics develops microwave technology-based devices and associated signal processing algorithms that aim to identify bleedings in the brain already in the ambulance. This information will be used to differentiate between bleeding and clot related strokes or to optimize the care process for traumatic brain injuries. Our products set the stage for future, pre-hospital stroke and trauma diagnosis and treatment – saving lives, human suffering and huge costs for the society.

For more information visit: www.medfielddiagnostics.com