IT Officer (programmer 15 hours/week) at the Department of Computer Science, Faculty of Science, University of Copenhagen

The Department of Computer Science at the Faculty of Science, University of Copenhagen, is looking for an IT Officer (programmer) to work within the project ‘Deep Fetal Development: AI for Fetal Development Analysis and Impact on Future Health of Mother and Child’ with effect from 1 February 2025 to 31 January 2027.

About the Project
This project aims to study the impact of maternal health and parental genetics on the healthy development of children during pregnancy. The project will analyze pregnancies in Denmark since 2009 using a comprehensive dataset of more than 700,000 babies, which includes over 20 million ultrasound images from the first, second, and potentially third trimesters. These images are combined with electronic health records from national registers for both mothers and babies.

Additionally, we have in-depth healthcare records for 200,000 pregnancies and genetic data from 20,000 mothers and 10,000 fathers. Leveraging this unique dataset, we aim to develop cutting-edge deep learning algorithms to analyze fetal development, identify patterns, and classify various types of growth progressions.

These AI-driven models will also link genetic information to health outcomes, allowing us to assess risks of future diseases for both the child and mother. Ultimately, this research could lead to improved prenatal screenings, enabling early detection and intervention in cases where fetal development is at risk. Furthermore, it may help identify mothers at risk of conditions such as cardiovascular disease or diabetes.

The project includes prospective clinical trials to validate the findings, testing enhanced screening methods in 1,000 pregnancies. Our goal is to ensure healthier outcomes for both mothers and children by improving prenatal care and early disease detection.

About Us
The Department of Computer Science at the University of Copenhagen is a leading research and teaching institution in Denmark. The department is known for cutting-edge research in areas such as machine learning, artificial intelligence, and data science. Our research group is dedicated to advancing computational methods and applying them in various scientific domains. We work closely with industry and other academic institutions to foster innovation and knowledge-sharing.

The Faculty of Science at the University of Copenhagen is Denmark's largest science research and education institution with 4,000 employees and 9,700 Bachelor and Master students in 12 departments. The faculty has an annual budget of DKK 3 billion. Here you can learn more about The Faculty of Science www.science.ku.dk.

Tasks
As a programmer, you will be working with Python, Bash, GitHub and Docker, and experience with these will be an advantage.

Your tasks will include:

• Support external partners in developing solutions to convert electronic healthcare records of various formats to FHIR
• Develop Docker containers and executables to deploy machine learning model in varying environments
• Support the various collaborative code repositories by maintaining current code, developing new code and tests, writing documentation, and participating in pull requests
• Support organizational efforts to store and document current and previous projects in a fashion that promotes reproducible research
• Develop the website for our research group and update it continuously

We Expect

• Educational Background in computer science or a closely related field
• Personal Qualities: Excellent communication skills, a positive attitude, the ability to work in a collaborative environment, and strong organizational abilities

We Offer

• The opportunity to be part of the Pioneer Centre for Artificial Intelligence, Denmark's leading research hub for AI innovation, which fosters groundbreaking research in machine learning, data science, and AI technologies
• Access to cutting-edge AI infrastructure, state-of-the-art high-performance computing resources, and collaborations with top researchers and industry partners
• Opportunities for professional development and collaboration on cutting-edge machine learning and data science projects
• A dynamic and interdisciplinary research environment that promotes creativity, learning, and technological advancement

Terms of salary and employment
You will be employed an IT Officer in accordance with the Collective Agreement between the Danish Ministry of Taxation, The Confederation of Teachers Unions and CO10 – The Danish confederation of public employees of 2010 (LC/CO10 Collective Agreement) and under the Professional Agreement for IT Staff (PROSA) in government service.

The working time is 15 hours per week.
If you are a student, the working hours can be arranged flexibly over the week to match your studies.

The University of Copenhagen (UCPH) is in the process of implementing a new joint administrative organisation, which comes into force on 1 March 2025. For more information, please contact the contact person for this position or the union representative Otto Kirk (phone 3532 4855). You can also read more here.

Your application
If you find the job interesting, please send an electronic application with attachment via the university’s job portal (click on the link "Apply Now" at the bottom of the post) no later than Tuesday 31 December.

Interviews will take place soon after the application deadline.

The University of Copenhagen seeks to reflect society and encourages applications irrespective of personal background.

Further questions
Further information on the Department is linked at https://di.ku.dk/english.

Inquiries about the position can be made to Professor Mads Nielsen, e-mail: [email protected].

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Info
Ansøgningsfrist: 31-12-2024

Ansættelsesdato: 01-02-2025

Arbejdstid: Deltid

Afdeling/Sted: Department of Computer Science