Research Engineer in Machine Learning for Healthcare

Halmstad University

Work at a University where different perspectives meet!

Halmstad University adds value drives innovation and prepares people and society for the future. Ever since the start beginning in 1983 innovation and collaboration with society have characterised the Universitys education and research. Today the University has a wide range of educational programmes about 14000 students and 700 employees. The research is internationally renowned and is conducted in multidisciplinary innovation and research environments within the Universitys two focus areas: Health Innovation and Smart Cities and Communities. The University participates actively in the development of society through extensive and high-profile collaboration with both industry and the public sector.

More information about working at Halmstad University: School of Information Technology

Halmstad Universitys School of Information Technology (ITE) is a renowned multi-disciplinary institution with around 155 employees from 20 different countries. ITE is internationally recognised for its applied research and collaborative initiatives focusing on smart technology and its practical applications.

Within ITE our students and researchers engage in diverse areas of study including electronics AI information-driven healthcare autonomous vehicles social robotics and digital design. We offer a comprehensive range of educational programmes ranging from undergraduate to doctoral levels as well as professional development opportunities.

Research is conducted within the Universitys research programmes especially Information Driven Care (IDC) Re-Imagining Future Smart Living beyond the Living Lab (REBEL) Learning in a Digitalised Society (LeaDS) and the Future Industry Research Programme (FIRP).

ITE is home to Leap for Life an innovation centre for information-driven care as well as the Electronics Centre in Halmstad (ECH) a collaborative space for electronic development.

For more information about the School of Information Technology: is a temporary position for twelve months and requires a combination of many different skills related to software development machine learning and programming but goes well beyond the typical scope of such jobs through the expectation of research experience in machine learning. Therefore we need a person who is creative open to new challenges and passionate about delivering high quality results. The work include the following tasks:

Contribute with software development across the information-driven care research program primarily within CAISR Health and Informationsdriven nära vård translating research prototypes into robust deployable code

Design and implement machine learning solutions particularly deep learning transformer-based and more recent architectures like Mamba within representation learning (vertical) federated learning time-series analysis and uncertainty quantification applied to multi-source clinical and care-chain data

Work with openEHR and related healthcare interoperability standards (e.g. OMOP FHIR) to enable structured semantically consistent integration of clinical and care data across regions municipalities and industrial partners

Perform data science experiments and exploratory analysis to extract knowledge from healthcare datasets including modelling of patient trajectories across the full care chain

Design and maintain data pipelines including relational database design structured query optimization and ETL processes for extracting transforming and integrating multi-source healthcare data

Support the project team(s) with software documentation code review and validation and testing of methods and models

Collaborate directly with stakeholders across industry regions and municipalities (kommuner) including participation in meetings workshops and joint development activities

Contribute to teaching in foundational university courses such as programming when relevant

Qualifications

- M.S. degree or equivalent in Computer Science Machine learning or related discipline.

- Strong knowledge of machine learning is required with experience in one or more of representation learning (vertical) federated learning time-series modelling uncertainty quantification or deep learning including transformer-based large language models Mamba and more.

- Programming skills in Python are required; experience with other programming languages and software development is a plus.

- Experience working with clinical or healthcare data or in interdisciplinary healthcare projects is required.

- Experience in one or more related areas such as multimodal data fusion sequential and trajectory modelling graph-based learning explainable AI causal inference or privacy-preserving machine learning is required.

- Good communication skills in English and Swedish are required.

- Relevant publications in high-tier venues within AI and ML is particularly merited.

Salary
Salary is to be determined by negotiation. The application should include a statement of the salary level required by the candidate.

Application
Applications should be sent via Halmstad Universitys recruitment system Varbi (see link on this page).
How to design your application

General Information:

We value the qualities that gender balance and diversity bring to our organisation. We therefore welcome applicants with different backgrounds gender functionality and not least life experience.

The working language is English and no knowledge of Swedish is required to start working at the University. Also for daily life English is spoken widely and Sweden has the highest English Proficiency index in the world. Of course its advisable that the employee learn Swedish.

Halmstad is a popular summer destination located on the Swedish west coast. It is situated halfway between two cosmopolitan areas: the Copenhagen-Malmö-Lund area and the Gothenburg area making it a well-connected yet a pleasantly calm place to live. Halmstad can be reached by a direct train connection from the Copenhagen Kastrup Airport as well as other local airports (e.g. Gothenburg Landvetter Airport Halmstad and Helsingborg/Ängelholm airports).