• Short description:

Post-doctoral research position in the area of modelling and machine learning. The researcher will work in the development of reinforced learning algorithms for the control of complex diffusive models and its application to disease transmission dynamics.

• Description:

IMDEA Materials Institute is looking to fill two post-doctoral research positions in the area of modelling and machine learning. The researchers will work in the development of reinforced learning algorithms for the control of complex diffusive models and its application to disease transmission dynamics.

Successful candidates must hold a Ph. D. in Applied Mathematics, Computer Science or some other discipline involving modelling, machine learning and programming and have a proven record of expertise in these topics. In addition, the following will be positively valued:

• Fluency in English, written and spoken
• Programming in C++ and Python; code development.
• Capacity to work independently.
• Analytical and communication skills.
• Experience with common machine learning libraries.

• Requirements:
  • Ph. D. in Applied Mathematics, Computer Science or some other discipline involving modelling, machine learning and  programming
  • Fluency in English

• Conditions:

Full time contract including social security coverage. Salary depending on previous experience and credentials

Este contrato se cofinanciará por la Comunidad de Madrid y la Unión Europea, a través del Programa Operativo del Fondo Europeo de Desarrollo Regional (FEDER 2014-2020), financiado como parte de la respuesta de la Unión a la pandemia de COVID-19.

Interested candidates must apply here: 

https://jobs.materials.imdea.org/offer/182 or

https://jobs.materials.imdea.org/offer/185

This contract will be co-financed by the Community of Madrid and the European Union through the European Regional Development Fund Operational Programme (ERDF 2014-2020), funded as part of the Union's response to the COVID-19 pandemic.