[agents] [Umeå, Sweden ] Postdoctoral fellowship (2 years) within Approximate Reasoning with Applications in Materials Science

Juan Carlos Nieves jcnieves at cs.umu.se
Tue May 14 09:14:52 EDT 2024


Dear all,

The Department of Computing science at Umeå University  is offering a 
postdoctoral scholarship within the project “*/Understanding and 
designing Block Copolymers using AI/”*. The scholarship is full-time for 
two years with access 1 September, 2024 or by agreement.

This project aims to use Artificial intelligence for understanding, 
designing, and optimizing Block Copolymers (BCPs) and their 
self-assembly. A hybrid intelligence system will be designed and 
developed during a multi-disciplinary collaboration. This system will 
combine two parts. First, a knowledge-based inference system that 
encodes existing knowledge using a domain-specific ontology and fuzzy 
logic-based rules. In short, this fuzzy knowledge-based system will 
express the known relationships between the chemical structure of 
polymers and their corresponding properties. Second, we will combine 
this knowledge-based system with a data-driven model. This model will be 
extracted from experimental data using state-of-the art machine learning 
techniques.

Documented knowledge and proven research experiences in at least one of 
the following areas:

  * approximate reasoning,
  * logic-based methods,
  * knowledge modeling,
  * fuzzy sets and systems,
  * probabilistic answer set programming, or
  * uncertain ontologies, is required.


The scholarship project are financed by the Kempe foundation. The 
scholarship is for two years with a starting date as agreed. The 
scholarship amounts to 350.000 SEK per year. The scholarship is not 
subject to tax.

Are you the person for this project? *We welcome applications until May 
31, 2024.*

For information on how to apply to this position visit the following 
website:

https://www.umu.se/en/work-with-us/postdoctoral-scholarships/6-908-24/

Juan Carlos Nieves, Vicenç Torra

Department of Computing Science, Umeå University, Sweden

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