Published: 02 August 2024
Zürich
100%
Unlimited employment
ETH Zürich
Job ads found online
Machine Learning Engineer
80%-100%, Zurich, fixed-term
We are looking for a team member to join our multidisciplinary team of neuroscientists, biologists, behaviorists, analysts and engineers to develop solutions for behavioral analysis of rodents based on machine vision systems. The employee contributes to research in the biomedical field by using state of the art methods to conceptualize, develop and evaluate machine learning classifiers for detecting signs of pain or stress in images and videos of mice. The employee also develops applications or automated pipelines for acquiring and processing video data and analyzing it using the trained machine learning classifiers. Further, he/she will assist with the development of homecage monitoring solutions from the data processing and data analysis side. The position is currently limited to one year.
Project background
The position is at the interface between the laboratory of Molecular and Behavioral Neuroscience and the ETH Zurich 3R Hub. The former is interested in understanding the molecular and circuit changes that occur in response to stress exposures, and how they relate to psychiatric diseases. The 3R Hub is focused on developing tools to refine and reduce the use of animals in research, particular through the development and deployment of advanced, open-source behavioral screening and analyses methods. The position we are trying to fill involves mainly two projects. The first project deals with pain assessment in mice using the mouse grimace scale. Here, we leverage machine learning tools to predict - in real time - the pain levels an animal experiences (e.g. during recovery from surgery) to give an actionable readout for adminstration of analgesia. We need to implement cutting-edge machine learning algorithms as well as software engineering to design front-end applications for rollout to end users. The second project focuses on homecage monitoring of mice, where we need programming expertise to deal with data management, pose-estimation tracking using deep learning applications, as well as unsupervised approaches to identify and classify rodent behavior based on body-point tracking. The ideal candidate can integrate into a multidisciplinary team to implement computationally efficient and user-friendly solutions for the challenges presented in these two projects.
Job description
In this position you will be responsible for the successful implementation of software solutions that enable behavior analysis based on machine vision approaches in a dynamic research environment. As part of this job, you will...
Profile
Workplace
Workplace
We offer
We value diversity
Curious? So are we.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about our lab can be found on our lab's website and the 3R-Hub's homepage. Questions regarding the position should be directed to Dr. Oliver Sturman, E-Mail schreiben (no applications).
For recruitment services the GTC of ETH Zurich apply.
About ETH Zürich
Curious? So are we.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about our lab can be found on our lab's website and the 3R-Hub's homepage. Questions regarding the position should be directed to Dr. Oliver Sturman, E-Mail schreiben (no applications).
For recruitment services the GTC of ETH Zurich apply.