Priority Programme “Machine Learning in Chemical Engineering. Knowledge Meets Data: Interpretability, Extrapolation, Reliability, Trust” (SPP 2331)

In 2020, the Senate of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) established the Priority Programme “Machine Learning in Chemical Engineering. Knowledge Meets Data: Interpretability, Extrapolation, Reliability, Trust” (SPP 2331). The programme brings together the chemical engineering (CE) and machine learning (ML) communities. By teaming chemical engineers with mathematicians and/or computer scientists, progress in all disciplines has been achieved over the first funding period of three years. The programme is designed to run for six years.

The present call invites proposals for the second three-year funding period starting in early 2025. Both continuation projects as well as new project proposals are highly encouraged. Each proposal must operate at the interface of CE and ML and have at least two applicants with corresponding expertise. The projects shall consider at least one of six scientific challenges: #1 optimal decision making, #2 introducing / enforcing physical laws in ML models, #3 heterogeneity of data, #4 information and knowledge representation, #5 safety and trust in ML applications and #6 creativity. The projects will be organised in a matrix between the areas of CE and the ML tasks. Data, models and methods will be shared among all participants of the programme on an internal platform.

The focus of the SPP 2331 projects shall be on the field of fluid processes with or without chemical reactions.

Networking meeting

To exchange research ideas and plan potential collaborations for the second phase of the SPP 2331, DFG will organise an optional networking meeting. Applicants that have not participated in the first phase are particularly welcome to join. The meeting will include a poster session, for which we ask each project to prepare one poster about the research of the participating labs. We also encourage adding information about the planned project to the poster. Projects can be represented by PIs and/or scientific staff (e.g. doctoral researchers). Please find further information below:

  • Date: 24 April 2024
  • Time: 9 am to 1 pm 
  • Location: Aachen, Germany

Please register for the networking event until 1 April 2024 by sending an email to the below mentioned email address that contains the following information:

  • Number of participating persons of your project in the networking event
  • Preliminary information on your planned project:
    • Applicants / PIs 
    • Title 
    • Short description (max. 50 words)

Proposals must be written in English and submitted to the DFG by 4 June 2024. Please note that proposals can only be submitted via elan, the DFG’s electronic proposal processing system. In preparing your proposal, please review the programme guidelines (DFG form 50.05, section B) and follow the proposal preparation instructions (DFG form 54.01). These forms can either be down-loaded from our website or accessed through the elan portal. 

Further information can be found on the website of the DFG.