Doctoral student in applied AI on heart conditions in the real-world healthcare setting - Hiring in process/Finished, not possible to apply

Halmstad University
Work at a University where different perspectives meet!

Halmstad University adds value, drives innovation and prepares people and society for the future. Since the beginning in 1983, innovation and collaboration with society have characterised the University's education and research. The research is internationally reputable and is largely conducted in a multidisciplinary manner within the University's two focus areas: Health Innovation and Smart Cities and Communities. The University has a wide range of education with many popular study programmes. The campus is modern and well-equipped, and is situated close to both public transportation and the city center.

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Information driven care 
Halmstad University has established a multidisciplinary research programme in information driven care, positioning the University as a national leader in integrating artificial intelligence (AI) and machine learning, implementation and innovation research, explicitly in health care.  

We are pleased to announce five doctoral positions in Information driven care, thanks to a donation from Carl Bennet AB. These positions will delve into diverse and critical areas at the intersection of healthcare and AI. The doctoral projects encompass: 

• Ethical Considerations in AI Utilization: Delving into the ethical implications of AI technology in healthcare. 
• Enhancing Patient Safety in Primary Care: Exploring how AI can improve patient safety in primary care settings. 
• Predicting Sudden Cardiac Death: Utilizing AI technology to predict and prevent sudden cardiac death. 
• Developing Multimodal Language Models for Healthcare: Creating advanced language models tailored for healthcare applications. 
• Business Model Innovation for International HealthTech Scalability: Investigating the scalability of HealthTech innovations, considering interdisciplinary challenges. 

These projects address health challenges jointly identified with other sectors, advance the research frontier, and develop technologies and processes for information driven healthcare solutions. These positions offer a unique chance to work on groundbreaking projects, under the guidance of esteemed faculty members and alongside talented peers. As a doctoral student, together with supervisors, you will have the opportunity to shape your research agenda, pursue your interests, and make a meaningful impact on the field. 

You find the other doctoral position in Information driven care here 

The School of Information Technology
Halmstad University consists of four interdisciplinary Schools and the current position is located at the School of Information Technology (ITE). ITE is a multicultural school with around 130 employees from 20 different countries. It is a strong research and education environment, with focus on smart technology and its applications. Students and researchers are working with everything from AI and information driven care to autonomous vehicles, social robotics and digital design. ITE offers education on all levels, from undergraduate to PhD education, plus education for professional. Research is conducted within aware intelligent systems, smart electronic systems, cyber physical systems and digital service innovation. These four areas constitute the four technology areas of ITE . An innovation centre for information driven care called Leap for Life is connected to ITE, as well as a collaboration arena for electronic development, Electronics Centre in Halmstad (ECH).

More information about the School of Information Technology


Description
As a doctoral student in this project, you will work in the intersection between model development and application in real-world healthcare. You will be connected to the team at Halmstad University as well as the team at UC Berkeley School of Public Health with support from University of Chicago and MIT and are expected to spend at least 6 months at UC Berkeley. 

The focus of the work will be in Halland within a collaboration between Halmstad University and the healthcare provider Region Halland. It builds on solid ongoing research by Ziad Obermeyer (UC Berkeley) and Markus Lingman (Halmstad University) on sudden cardiac death where electrocardiograms have been used for training models to predict this outcome and understand what drives the risk. It makes use of real-world data to guarantee relevance and translation to clinical use. The scope of the project will be widened to include other care providers.  

Your work will focus on validating and adjusting the model in new patient cohorts, both in retrospect and prospectively. Based on the learnings from the validation and implementation projects that will be the center of your doctoral work, you will adapt the model to further improve accuracy and applicability and identify subgroups of patients with risk characteristics not yet identified. You will also deepen your understanding of causal inference. 

You will learn the practical, legal, and ethical requirements that come with working with sensitive data and how to interact with many stakeholders while driving your projects forward, supported by the team. 

Therefore, your work will include data science, project management and learning about AI in healthcare with all its prerequisites.  

This is a full-time position available from September 1st, 2024 (or as soon as possible), for a period of four years to a PhD degree (extended with one year after one year, subject to satisfactory progress of the PhD study). Since the employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time, the position is extended with the same amount of time as the teaching activities.

Qualifications

• The ideal candidate has a master’s degree in machine learning or related discipline. 
• You have a background in data science and a great interest in understanding the field from a clinical perspective.  
• A strong background in machine learning, artificial intelligence, data mining, or signal processing is desirable.  
• Excellent programming skills, analytical problem solving, and organizational abilities are required.  
• Excellent oral and written communication in English. 
• An interest in project management and initiating contacts to drive projects together with others. 
• An interest in understanding knowledge domains outside of data science in order to interact with clinicians, legal teams and others. 

Students expecting to finalize their degree the coming month are also welcome to apply. Only those who are or have been admitted to third-cycle courses and study programs at a higher education may be appointed to doctoral studentships. (The Higher Education Ordinance Chapter 5 Section 3). The student’s ability to benefit from doctoral studies will be taken into account when we make the appointment. (The Higher Education Ordinance Chapter 5 Section 5). 

Salary
Doctoral students are employees of the University and paid a salary according to a uniform salary scale, adjusted in relation to the progress in education.

Application
Applications should be sent via Halmstad University's 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 organization. We therefore welcome applicants with different backgrounds, gender, functionality and, not least, life experience.

Read more about Halmstad University 

Information for International Applicants
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