Job openings

Research Assistant


There are two R.A. positions available in the context of the CTI project «Deep Networks as a Semantic Platform for Modeling User Behavior Data».


We expect two RAs to help develop a TensorFlow-based platform on top of the existing machine learning and user analytics system at 1plusX. The current system embeds users and items (e.g. web pages, articles) into aul> common embedding space and allows building specific prediction modules on top of that. The system has been optimized for performance, whereas this project pursues the goal of developing a platform on which novel ideas and solutions can be prototyped and deployed at limited scales for pilot projects.

Contact: Send an email to Thomas Hofmann with CV and transcripts.


PhD Student in Machine Learning

PhD position to work on a Machine Learning project to create abstract representations from multimodal data In recent years the popularity of machine learning methods has increased dramatically, partially due to the wider availability of multimodal data - such as images and text - as well as an increase in computational power. The project deals with the following research questions: First, how to learn generic abstract representations from multimodal data that capture semantic dependencies and structural relationships in this data. Second, we would like to exploit the learned generic representations to train models with less supervision. One concrete use case for image captioning would consist of creating a model that can learn to label an image with captions of increasing levels of abstraction.

The work of the PhD student hired for this position will revolve around the design of appropriate models and efficient training methods. The candidate will have the opportunity to explore a variety of domains relating to machine learning, computer vision and natural language processing. Your responsibility will also include to disseminate and report your results using international platforms and take active part in the activities of the Institute of Machine Learning at ETH Zurich.

You have a master degree in Computer Science, Mathematics, Physics or related fields; solid programming skills; good written and spoken English; strong team-working abilities and excellent communication skills. You are enthusiastic, proactive and autonomous. Former experience with machine learning and experience in computer vision or natural language processing are a plus. We look forward to receiving your online application including a letter of motivation, CV, diplomas and contact details of 2 referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Please note that we exclusively accept applications submitted through our online application portal at https://apply.refline.ch/845721/6169/pub/1/index.html. Applications via email or postal services will not be considered. For further information about Institute for Machine Learning please visit our website http://www.ml.inf.ethz.ch. Questions regarding the position should be directed to recruiting_dalab (at) yahoo (dot) com (no applications).



PhD Student in Machine Learning - 2

The Institute for Machine Learning at ETH Zurich is partnering with CSEM for exploring exciting cutting edge research for modelling temporal processes. CSEM is a private research, technology and innovation center specializing in microtechnology, microelectronics, system engineering and renewable energy systems. It offers its customers and industry partners custom-made innovative solutions. The Robotics and Automation group of Center Alpnach is currently looking for a PhD Student in Machine Learning

In recent years the popularity of machine learning methods has increased dramatically. CSEM has a long experience in this field with technologies that have now reached the market. Huge advancements have taken place in image analysis and natural language processing. In particular the usage of Recurrent Neural Networks has reported ground breaking results in natural language processing. The application of RNN methods has so far been mainly concentrated in audio signals, and the field of multi-dimensional data and temporally correlated image sequences are exciting new areas of research. Modelling temporal processes can offer new insights in to problems in Industrial Production, Remote Sensing and Earth Observation. This thesis project will develop methodologies for modelling multi-dimensional time-based data sets using neural networks.

The work of the PhD student will revolve around the design of appropriate model architectures and efficient training methods. The candidate will have the opportunity to explore a variety of data sets with direct industrial applications while working in close contact with the Institute of Machine Learning at ETH Zurich and R&D divisions at CSEM to drive the research toward practical industrial needs. Your responsibility will also include to disseminate and report your results using international platforms and take active part in the activities of the Robotics and Automation group and the Institute of Machine Learning at ETH Zurich.

You have a master degree in Computer Science, Mathematics, Physics or related fields; solid programming skills; good written and spoken English; strong team-working abilities and excellent communication skills. You are enthusiastic, proactive and autonomous. Former experience with neural networks in particular with RNN and experience in computer vision and signal processing are a plus. We look forward to receiving your online application including a letter of motivation, CV, diplomas and contact details of 2 referees.

Please note that we exclusively accept applications submitted through our online application portal at https://apply.refline.ch/845721/5697/pub/1/index.html. Applications via email or postal services will not be considered. For further information about CSEM and the Institute for Machine Learning please visit our websites https://www.csem.ch and http://www.ml.inf.ethz.ch. Questions regarding the position should be directed to recruiting_dalab (at) yahoo (dot) com (no applications).