Researcher in Machine learning guided Robotic organoid-maturation - Hiring in process/Finished, not possible to apply

The Department of Computer and Systems Sciences. With over 200 employees and 4,500 students, the Department of Computer and Systems Sciences (DSV) is a strong and dynamic research and educational environment. The discipline of computer and systems sciences bridges the gap between technology and the humanities, social sciences and behavioral sciences, with great relevance to our lives today and in the future. Our research addresses how new information and communication technology should be designed to benefit individuals, organisations and society as a whole.

DSV offers a stimulating research community in an international environment. Many of our projects are interdisciplinary, and our researchers frequently collaborate with colleagues at other universities, in industry, and within the public sector. Our research in conducted within nine subject areas: AI and Data Science, Business Process Management and Enterprise Modeling, Cybersecurity, Digital Games and Simulation, Digital Transformation and Governance, Human-Computer Interaction, Language Technology, Risk and Decision Analysis, and Technology-Enhanced Learning.

DSV’s current location is Stockholm University´s campus in Kista, north of central Stockholm, and we will move to the mail Frescati campus within a couple of years.

More information about us, please visit: the Department of Computer and Systems Sciences.

Project description

The OrganoFeed project is set to transform biomedical research by making organoids - tiny, lab-grown human organ models - more reliable. These organoids mimic real human organs, offering a powerful alternative to traditional cell cultures and even animal testing. However, their growth is highly sensitive to small environmental changes, leading to inconsistent results in research and drug testing. 

Organofeed plans to tackle this challenge by combining AI-driven predictive modeling with microfluidic technology, creating a system that adapts and fine-tunes the organoid environment in real time. Instead of a one-size-fits-all approach, each organoid receives personalized care, reducing errors and improving reproducibility. This breakthrough could make drug testing more accurate, accelerate medical discoveries, and reduce the need for animal experiments, bringing us closer to more ethical and effective treatments. 

The full title of this research project is "OrganoFeed: Feedback-enhanced organoid maturation towards higher reproducibility for in-vitro drug testing". Please find more information on the project here: OrganoFeed - Stockholms universitet

Main responsibilities

Organoids are powerful tools to model human biology in vitro, but high variability continues to present significant challenges. We are seeking an enthusiastic transdisciplinary researcher to help us tackle this by integrating advanced machine learning, robotic control, and electrochemical sensing. You will be embedded in, and supported by, two dynamic and welcoming research teams, those of Prof. Miliou at Stockholm University (Data Science), and of Prof. Winkler at KTH Royal Institute of Technology (Micro- and Nanosystems), and be part of the Digital Futures initiative.

In your varied role, you will design, conduct, analyze, and disseminate research across multiple domains, likely to entail: (a) developing a computational framework that can leverage sensor-based predictive machine learning for robotic control; and (b) evaluating organoid maturation under a range of feeding regimens using qPCR and imaging. Besides collaboration with existing team members, you will also supervise junior researchers to help move the project forward – with the ultimate goal of greatly reducing inter- and intra-batch variability and thus greatly improving their information value for both basic biomedical research and drug development.

Qualification requirements

Researchers are appointed primarily for purposes of research and must hold a Swedish doctoral degree or an equivalent degree from another country.

Assessment criteria

In the appointment process, special attention will be given to research skills. 

Great emphasis will also be given to the following criteria:

• Interdisciplinary research expertise regarding iPSC-based organoid culture, substantiated by a record of impactful publications
• Collaborative abilities & independence
• Experience of developing and leading activities and staff, as well as of research funding acquisition
• The ability to work towards research results being utilized in practice, and to inform about research and development work
• Specific research expertise and/or capacity to develop skills in machine learning and data science
• Teaching ability
• Knowledge of diversity and equal treatment issues with a specific focus on gender equality.

About the employment

The position involves full-time employment for a maximum of 12 months. Start date as per agreement.

We offer

With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions. 

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Contact

Further information about the position can be obtained from senior lecturer Ioanna Miliou, phone: +46 8 16 16 08, ioanna.miliou@dsv.su.se.  

Application

Apply for the position at Stockholm University's recruitment system. Attach a personal letter and CV as well as the attachments requested in the application form. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.

The instructions for applicants are available at: How to apply for a position.