The goal for Halmstad University is to strengthen competence in the areas of machine learning and AI, as an increasingly important driver of digitalization of hospitals that can support patient centred care, increase the quality of medical services and to reduce costs, to meet growing healthcare needs of the future.
Appointment as Assistant professor is a qualifying appointment with the purpose to give the employee a possibility to promote to Associate professor. Appointment as Assistant professor is for four years.
The recruited person will be expected to teach 20% and do research to 80%. The planned research activities build upon our existing research, including the abovementioned iMedA project, by addressing three research questions. First, how to create a meaningful and comprehensive representation of each patient based on comprehensive medical data. Second, how to predict different clinical outcomes (e.g., re-admissions) and non-clinical behaviors (e.g., medication non-adherence) using interpretable machine learning methods. Third, how to identify a selection of intervention strategies that are most appropriate for a particular patient, by combining both data-driven and knowledge driven approaches. The overall scope is to increase information driven care capabilities using ML on several data domains including EHR, financial, HR and other production generated data in order to create new insights. All three research questions pose challenges that go beyond current state-of-the-art solutions in terms of information fusion from diverse data sources, identification of relevant factors, interpretability of data mining results, causal relation discovery and augmenting machine learning with expert knowledge.
In CAISR we have long experience with very fruitful collaboration and relationship building between the University and companies. This position will follow the same general setup, with the assistant professor spending approximately two says on company premises in order to understand the inner working, the culture and the day-to-day operation. This is expected to lead to a deep relationship that allows us to coordinate on strategic level, where Hallandia Veritas helps us shape future CAISR research directions. As a result, the collaboration will generate many new possibilities for joint projects and offer us an opportunity to increase our visibility. Given the strong research background of the Hallandia Veritas company we also expect several high-level publications to be co-authored jointly.
The “triple helix” model of innovation that this project focuses on will help increase the quality of healthcare within Halland. Neither academic nor clinical actors alone can make the best use of all the available data – it is necessary to tighten the connection to the business sector. Hallandia Veritas can bring this perspective, which is currently lacking, into the existing collaboration between CAISR and Halmstad Hospital. The Region Halland serves as problem owner and provides specification of requirements, as well as facilitates clinical studies, feasibility analysis, access to patients and clinicians, etc. That provides a foundation for AI and data mining research and technical results created within CAISR. The final step, however, is the commercialization and turning of those results into products, to be enabled by co-production with a company like Hallandia Veritas.
Health care is a rapidly growing application area for AI and Machine learning. The recruited person will be a valuable asset for advancing and giving the following master level courses: Learning Systems, Data Mining, and Applied Data Mining. The person will also be involved in the Graduate professional development program (second-cycle courses targeted at the business sector). The recruited person will be of great help in supervision of bachelor and master level students as well as assistant supervision of PhD students.
The applicant must hold a doctoral degree in Artificial Intelligence/Data Mining/Machine Learning/Information Technology or closely related fields. The applicant must demonstrate a strong, currently active research profile in the above fields. The overall scientific production should be extensive in high-quality research journals. Documented experience from innovation, research and development in an industrial environment is also a strong merit. An Assistant professor position requires that the doctoral degree was awarded within five years of the application deadline
For appointment as a Assistant professor, the following assessment criteria will be applied:
- Ability to conduct research of high international quality in data mining
- Documented experience from research in collaboration with industrial partners
- Ability to conduct high-quality teaching and to develop courses at different levels
- Experience in supervision of master/PhD students
- Ability to attract external funding
Salary is to be settled by negotiation. The application should include a stetment of the salary level.
Applications should be sent via Halmstad University's recruitment system Varbi (see link on this page). The application package shall consist of:
1) a cover letter stating the purpose of the application and a brief statement of why you believe that your goals are well-matched with the goals of this position, together with a description of future research plans.
2) an attested CV that includes at least
- a list of previous degrees, dates, and institution, transcripts for higher-education studies until most recent available
- a complete list of publications and a description of previous research and other work experience and links to online copies of the most important publications
3) contact information for at least three references.
We value the qualities that gender balance and diversity bring to our organization. We therefore welcome applicants with different backgrounds, gender, functionality and, not least, life experience.
The working language at Halmstad University is English and knowledge of the Swedish language not required to start working.
Read more about Halmstad University at http://hh.se/english/discover/discoverhalmstaduniversity.9285. html