Postdoc in machine learning for inferring chemical toxicity, FCAI, Helsinki and Janssen Pharmac[...]

The International Society for Bayesian Analysis; Box; On-site; EUR 40 000 - 60 000; Full time

Job summary

A leading research opportunity as a postdoctoral researcher in machine learning aimed at inferring chemical toxicity at the Finnish Center for Artificial Intelligence in collaboration with Janssen Pharmaceutica. This position offers the chance to develop advanced algorithms and publish groundbreaking findings, providing a bridge between academic research and industry application.

Qualifications

• Expertise in machine learning is essential.
• Background in probabilistic methods preferred.

Responsibilities

• Develop new probabilistic machine learning methods.
• Infer toxicity of chemicals based on chemical structure.
• Publish outcomes in peer-reviewed journals.

Skills

Machine Learning

Education

PhD in a relevant field

Job description

Postdoc in machine learning for inferring chemical toxicity, FCAI, Helsinki and Janssen Pharmaceutica

May 6, 2018

We are looking for a postdoctoral researcher with expertise in machine learning to work on an exciting collaboration project between Prof. S. Kaski’s team in Finnish Center for Artificial Intelligence FCAI at Aalto University and Janssen Pharmaceutica. The exciting research problem is to learn to infer toxicity of chemicals based on the chemical structure, and the great opportunity is that we have unique data for the learning. This is an outstanding opportunity to both develop new probabilistic machine learning methods and to gain necessary skills to place yourself for success both in the pharmaceutical industry as well as in academia. Janssen Pharmaceutica and FCAI support and expect publication of the outcome of this work in top peer-reviewed journals and scientific conferences.

Deadline: May 28, 2018
Full details: http://www.aalto.fi/en/about/careers/jobs/view/1854/.

—
Samuel Kaski, Academy Professor
Department of Computer Science, Aalto University
P.O. Box 15400, FI-00076 Aalto, Finland; https://people.aalto.fi/new/samuel.kaski
Tel: [phone]