PhD student Responsible implementation of AI in healthcare integrating ELSA in A

6 Feb 2024
Job Information

Organisation/Company

University Medical Centre Groningen (UMCG)

Research Field

Medical sciences

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

Country

Netherlands

Application Deadline

10 Mar 2024 - 23:00 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Artificial Intelligence (AI) is playing an increasingly prominent role in our society, and its applications are becoming more sophisticated. The use of AI involves ethical, legal, and societal aspects. The ELSA (Ethical, Legal, and Societal) AI Lab Northern Netherlands (ELSA AI lab Northern Netherlands (ELSA-NN )) is a consortium consisting of knowledge institutions, societal partners, companies, and patient and public organizations. It focuses on developing knowledge relevant to the responsible development and application of AI in the context of healthcare. ELSA-NN includes various work packages (such as participation, ethics, law, and psychology) and addresses various AI applications (use-cases) in the areas of healthy living, working, and ageing – including the monitoring data use-case.

For the work package ‘integration’ and the use-case 'monitoring data', we are looking for a PhD candidate. In recent years, many AI guidelines have been developed, but these mainly describe general ethical and legal principles. What is lacking are practical guidelines regarding how these principles can be applied during the process of developing and implementing AI applications. This process, in which AI applications are developed and operationalized, is also referred to as MLOps. Currently, MLOps ‘best practices’ are becoming increasingly common, but primarily focus on technical aspects of the developer’s workflow. On the other hand, there are the numerous guidelines and frameworks that address ELSA aspects. The goal of the research is to bring these two together. That is, we aim to integrate ELSA into the MLOps process. The main task of the PhD candidate will involve gathering and consolidating knowledge for the development and testing of workflows, tools, or a reference architecture that can be used in MLOps and incorporates ELSA principles and to test and evaluate its use in practice. With the ultimate goal to enable the development of 'ELSA by design' AI applications in the context of healthy living, working, and ageing.

Requirements
Specific Requirements

- Collecting information on ELSA aspects relevant to AI applications in the domains of healthy living, working, and ageing, specifically related to the ELSA-NN use cases;
- Identifying, developing, and integrating solutions – whether technical or not – to ensure the ethical, legal, and social aspects are safeguarded in the AI development process (MLOps);
Focus specifically on the monitoring use-case and act as a bridge between ELSA-NN researchers and monitoring use-case researchers;Developing, testing and evaluating the integration of ELSA in AI development, in collaboration with end-users;
- Focus specifically on the monitoring use-case and act as a bridge between ELSA-NN researchers and monitoring use-case researchers;Writing and publishing articles in international scientific journals;
- Presenting on national and international conferences;
- Contribution to dissemination of knowledge on ELSA by Design AI development to (relevant non-scientific) stakeholders

The ideal candidate
- Holds a master's degree in a relevant field, such as biomedical sciences, technical medicine, data science, artificial intelligence, IT management / (technical) business administration, or a related field;
- Preferably has experience in the development process of AI applications and/or MLOps;
- Has an interest in or affinity with the societal challenges related to responsible development and implementation of healthcare technology applications, such as AI;
- Possesses knowledge of qualitative and quantitative research methods;
- Demonstrates a clear interest in interdisciplinary, impact-oriented, and participatory research;
- Can effectively collaborate in multidisciplinary teams, is open to different approaches, is flexible, and is simultaneously capable of independently and pro-actively carrying out tasks;
- Exhibits excellent organizational and communication skills;
- Demonstrates outstanding oral and written proficiency in English

Additional Information
Benefits

- A challenging position within an enthusiastic and collegial network of partners in the ELSA-NN lab.
- To support your development as a researcher, you will be guided by an experienced team of supervisors and follow a personalized PhD training program (30 ECTS) within the Graduate School of Medical Sciences, including the Career Perspectives Series, which prepares PhD candidates for various careers after completing their research.
- PhD 4 year 0.8 fte

Relevant links
Research Institute SHARE
Graduate School of Medical Sciences
Digital Transformation
DASH

Your salary will be a minimum of € 2.901,- gross per month in the first year and a maximum of € 3.677,- gross per month (scale PRO) in the final (4th) year, based on a full-time appointment. In addition, the UMCG will offer you 8% holiday pay, and 8.3% end-of-year bonus. The conditions of employment comply with the Collective Labour Agreement for Medical Centres (CAO-UMC).

Selection process

Prof. dr. Claudine Lamoth, [email protected]
dr. Mirjam Plantinga , [email protected]

Additional comments

Prof. dr. Claudine Lamoth
[email protected]

dr. Mirjam Plantinga
[email protected]

Website for additional job details

https://www.academictransfer.com/337386/

Work Location(s)

Number of offers available

1

Company/Institute

University Medical Center Groningen (UMCG)

Country

Netherlands

City

Groningen

Postal Code

9713 GZ

Street

Hanzeplein 1

Geofield

Where to apply

Website

https://www.academictransfer.com/en/337386/phd-student-responsible-implementati…

Contact

City

Groningen

Website

http://www.werken.umcg.nl/

Street

Hanzeplein 1

Postal Code

9713 GZ

STATUS: EXPIRED