Associate researcher in Emergency care Full-time

Associate Researcher in Emergency Care

Lund University was founded in 1666 and is repeatedly ranked among the world's top universities. The University has around 46,000 students and 8,500 staff based in Lund, Helsingborg, and Malmö. We are united in our efforts to understand, explain, and improve our world and the human condition.

The research group develops and implements decision support systems for emergency care, primarily within the emergency department, and is led by Ulf Ekelund. The group includes a professor, a senior lecturer, several associate professors, as well as several PhD holders and doctoral students. Many members of the group are emergency physicians who also work clinically at emergency departments in the regions of Skåne and Halland. The group collaborates with other professors and research teams both within and outside of Sweden. We are now seeking an Associate Researcher to join the group and work on the further development of our AI-models and their implementation in emergency care.

The research is conducted at the Skåne University Hospital in Lund.

Within our research group, we value a positive work environment built on respect and care in our relationships. We continually strive to foster conditions for job satisfaction, personal development, and engagement for all team members.

Lund University is a public authority, which means that employees get benefits, generous annual leave, and an advantageous occupational pension scheme. Read more on the University website about being a Lund University employee: Work at Lund University.

We are looking for a person to work on the following tasks:

• Further develop our AI-based decision support models for emergency care
• Support implementation in routine clinical practice, including software adaptation
• Collaborate with healthcare IT staff on various digitalization and IT-related matters
• Conduct independent research projects

Other work tasks may also be included.

Necessary qualifications for the job:

• A PhD in Medical Science
• A Master of Science in Computer Science and Engineering or equivalent
• Experience in developing AI models for emergency medicine, based on ECG and blood tests
• Experience with neural networks and other types of AI models
• Advanced programming skills
• Excellent command of both spoken and written scientific Swedish and English

Strong collaborative and interpersonal skills are meritorious.