Postdoc and PhD student positions in machine learning, Finnish Center for Artificial Intelligence

The International Society for Bayesian Analysis; Helsinki; On-site; EUR 60 000 - 80 000; Full time

Job summary

A premier AI research institution in Helsinki is seeking exceptional doctoral students and postdoctoral researchers in machine learning. Candidates will tackle exciting problems across diverse research programs, contributing to advancements in personalized medicine, privacy, and bioinformatics. This is a unique opportunity to develop cutting-edge AI solutions in a collaborative environment.

Qualifications

• Exceptional candidates with a background in AI research.
• A strong understanding of machine learning principles.
• Experience with privacy-preserving techniques is a plus.

Responsibilities

• Tackle complex problems in machine learning.
• Work within diverse research programs and groups.
• Contribute to projects in personalized medicine and bioinformatics.

Skills

Probabilistic programming

Robust and automated Bayesian machine learning

Deep reinforcement learning

Differential privacy

Interactive machine learning

Education

Doctoral degree or equivalent

Job description

Postdoc and PhD student positions in machine learning, Finnish Center for Artificial Intelligence

Finnish Center for Artificial Intelligence (FCAI; http://fcai.fi) is looking for exceptional doctoral students and postdoctoral researchers to tackle complex and exciting problems in the field of machine learning. Come and join us to create the Real AI that is data-efficient, trustworthy and understandable!

FCAI brings together the world-class expertise of Aalto University and the University of Helsinki in AI research, strengthened further with an extensive set of companies and public sector partners, creating an attractive, world-class ICT hub in Helsinki metropolitan area.

Our research agenda is spearheaded by 5 research programs with multiple research groups involved in each. We are currently hiring doctoral students and postdoctoral researchers in the following FCAI research programs and the detailed projects listed below.

Research programs

• Agile probabilistic AI. Keywords: Probabilistic programming; Robust and automated Bayesian machine learning
• Simulator-based inference: Approximate Bayesian Computation ABC; likelihood-free inference; Generative adversarial networks (GAN); applications in many fields including medicine, materials design, visualization, business, …
• Next generation data-efficient deep learning; including deep reinforcement learning
• Privacy-preserving and secure AI: Privacy-preserving machine learning; differential privacy; adversarial machine learning
• Interactive AI: Interactive machine learning; probabilistic inference of cognitive models from data; probabilistic programming for behavioral sciences

Specific projects

• Constraint-Based Optimization and Machine Learning
• Probabilistic Machine Learning
• Probabilistic machine learning for personalized medicine
• Probabilistic modeling and machine learning for bioinformatics
• Non-parametric probabilistic machine learning
• Bioinformatics and computational biology
• Computational HCI
• Privacy-preserving federated machine learning
• Probabilistic user modelling in interactive human-in-the-loop machine learning

Deadline for doctoral students: August 12, 2018. Postdoc applications received by August 12, 2018 will receive full consideration.

More details here: http://www.fcai.fi/fcainews/2018/7/2/postdoc-and-doctoral-student-positions-in-machine-learning