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) adapting a liquid handling robot to our requirements and integrating it with sensing capabilities; (b) developing a computational framework that can leverage sensor-based predictive machine learning for robotic control; and (c) 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.
What we offer
- A position at a leading technical university that generates knowledge and skills for a sustainable future
- Engaged and ambitious colleagues along with a creative, international and dynamic working environment
- Work in Stockholm, in close proximity to nature
- Help to relocate and be settled in Sweden and at KTH
Read more about what it’s like to work at KTH and our benefits.
Qualifications
Requirements
- A doctoral degree or an equivalent foreign degree in bioengineering, bioinformatics, biology, or related fields. This eligibility requirement must be met no later than the time the employment decision is made.
- Interdisciplinary research expertise regarding machine learning, data science, and mammalian cell culture, substantiated by a record of impactful publications.
- Collaborative abilities & independence: The ideal candidate has exceptional drive, creativity, and multitasking skills. They should have a deep sense of responsibility, take initiative, and be passionate about their research. They are similarly capable of fruitfully integrating into cross-disciplinary research teams, including on an interpersonal level.
- Good communication skills, with fluent spoken and written English, are needed in order to be able to perform daily work tasks.
Preferred qualifications
- A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.
- Specific research expertise with any of the following: iPSC-based organoids, robotic control, electrochemical sensors, machine learning algorithms, and explainability concepts.
- Experience with research grant applications, and/or of teaching/supervision.
- Awareness of diversity and equal treatment issues with a particular focus on gender equality.
Great emphasis will be placed on personal skills.
Trade union representatives
Contact information to trade union representatives.
To apply for the position
Log into KTH’s recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.
The application must include:
- Your motivation for this specific project, and why you are the right person for the job (max. 1 page)
- Comprehensive academic CV
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).