Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 Research Center (CORC) - Vacancy at Aarhus University

Job description

The appropriate candidate will play a central role in the development and deployment of a digital twin of the CO2-to-protein pilot factory. The main tasks to be carried out include:

1. Domain Analysis and Ontology Development: Conduct a systematic analysis of the pilot factory and establish a data architecture based on the available data structures in the production management system, including identification of the critical variables for production improvement.
2. Explore, build and validate a low fidelity digital twin including more advanced high fidelity configurations critcal for scaling and improvement.
3. Calibrate the models inside the digital twin to obtain more optimal performance of the CO2-to-protein pilot factory.
4. Collaborate closely with our research partners to create an ontology capturing the biochemical process variables and production variables integrating across domains.
5. Develop appropriate user interfaces for researcher inquiries and feedback.
6. Assist with improvements of the DTaaS platform for ongoing CORC projects.

The candidate will assume technological leadership over the software solutions developed for the above tasks, as well as take on to supervision of PhD and master students on the same topics.
 

Your profile

• A Ph.D. degree in Computer Science primary, or related field (in the latter case, special emphasis will be placed on assessing programming proficiency).
• Comprehensive background in modelling, simulation and establishing digital twins.
• Experience with software development, and optionally digital twin platforms.
• (Optional) Strong publication record in relevant conferences and journals.
• Fast learner with interest in multidisciplinary research.
• Excellent communication skills.
• Ability to collaborate effectively within a multidisciplinary and multicultural team.
• Inclusive and open minded.

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