-
Archives
- September 2024
- August 2024
- January 2024
- December 2023
- September 2023
- June 2023
- April 2023
- March 2023
- January 2023
- December 2022
- November 2022
- October 2022
- August 2022
- June 2022
- May 2022
- April 2022
- February 2022
- December 2021
- September 2021
- August 2021
- April 2021
- March 2021
- February 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- May 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- May 2019
- April 2019
- November 2018
- October 2018
- August 2018
- June 2018
- May 2018
- February 2018
- January 2018
- November 2017
-
Meta
Category Archives: recruitment
Multiple PhD positions in machine learning with simulation and physics modeling of the world (closed)
We have several PhD openings in machine learning research for exploring methods to combine learning with process-driven modeling and simulations. The interaction and cooperation between a simulator and a machine learning model can be exploited in a number of areas where data are expensive or difficult to obtain, and/or where domain knowledge within the process-driven models can back the inductive biases factored into the machine learning models. In the medical domain, machine learning methods can be combined with neuromechanical simulators to develop models of human locomotion that shall support critical medical decisions related to surgical interventions treating pathological gait patterns. In industrial manufacturing, simulations and physical modeling of realistic or extreme operational conditions can support the learning of rare faulty behaviours in order to trigger early alerts. In chemoinformatics, an external system (e.g. RDKit) can provide relevant constraints for generating valid new molecules with specific required characteristics.
Posted in recruitment
Tagged deep leaning, job openings, machine learning, phd, phd in machine learning, phd student, recruitment
Comments Off on Multiple PhD positions in machine learning with simulation and physics modeling of the world (closed)
PhD position on learning and simulation for human locomotion modelling (closed)
We have an opening for a PhD position on the development of machine learning methods for the modelling of pathological human locomotion in the framework of a collaborative Sinergia project funded by the Swiss National Science Foundation. The goal of the project is to develop, through machine learning and neuromechanical simulation, accurate models of human locomotion, together with Stephane Armand (University of Geneva, Kinesiology laboratory) and Auke Ijspeert (Biorobotics laboratory, EPFL, BIOROB). The project will (1) model pathological gaits resulting from motor impairments such as cerebral palsy, and (2) compare and combine neuromechanical simulation and machine learning approaches for gait analysis. It brings together expertise on pathological gait, neuromechanical simulation models, machine learning, coupled with a unique collection of relevant real world data. Continue reading
Posted in recruitment
Comments Off on PhD position on learning and simulation for human locomotion modelling (closed)
PostDoc position on learning and simulation for human locomotion modelling (closed)
We have an opening for a PostDoc position on the development of machine learning methods for the modelling of pathological human locomotion in the framework of a collaborative Sinergia project funded by the Swiss National Science Foundation. The goal of the project is to develop, through machine learning and neuromechanical simulation, accurate models of human locomotion, together with Stephane Armand (University of Geneva, Kinesiology laboratory) and Auke Ijspeert (Biorobotics laboratory, EPFL, BIOROB). The project will (1) model pathological gaits resulting from motor impairments such as cerebral palsy, and (2) compare and combine neuromechanical simulation and machine learning approaches for gait analysis. It brings together expertise on pathological gait, neuromechanical simulation models, machine learning, coupled with a unique collection of relevant real world data. Continue reading
Posted in recruitment
Comments Off on PostDoc position on learning and simulation for human locomotion modelling (closed)
Postdoc position on generative modelling for complex objects (closed)
We are looking for an excellent postdoc to work on the development of deep learning methods for the automatic composition of complex structures, such as sets, graphs, trees, sequences, that exhibit desired properties. Typical application scenarios include image and text generation, drug and molecule design. Research areas of direct interest include generative modeling, unsupervised and semi-supervised learning. Continue reading
Posted in recruitment
Comments Off on Postdoc position on generative modelling for complex objects (closed)
PhD position on Learning over distributed streaming data (closed)
We are looking for an excellent candidate who will undertake a PhD on the development of new machine learning methods for distributed streaming data generate in the context of the Internet of Things. Continue reading
Posted in recruitment
Comments Off on PhD position on Learning over distributed streaming data (closed)
Postdoc position on Learning over distributed streaming data (closed)
We are looking for an excellent Postdoc to work on the development of new machine learning methods for distributed streaming data generate in the context of the Internet of Things. Continue reading
Posted in recruitment
Comments Off on Postdoc position on Learning over distributed streaming data (closed)
PhD position on Machine Learning for representation learning (closed)
We are looking for an excellent candidate who will undertake a PhD on the development of new machine learning methods for non-parametric representation learning with an emphasis on two-level instance description problems and recommendation problems. Continue reading
Posted in recruitment
Comments Off on PhD position on Machine Learning for representation learning (closed)
PhD position on Machine Learning for Gait Analysis (closed)
We are looking for an excellent candidate who will undertake a PhD on the development of new machine learning methods for the modelling of pathological gait to better understand gait deviations and improve treatment strategies.
Posted in recruitment
Comments Off on PhD position on Machine Learning for Gait Analysis (closed)