Machine Learning for Signal Processing

One Pre-Doc RESEARCH CONTRACT (for 3 months, extendable to one year) is open for the study, development, integration and evaluation of machine learning software tools, and the production of language resources for Automatic Speech Recognition (ASR) tasks.

Job #JPF05862

• The Henry Samueli School of Engineering - Biomedical Engineering

Recruitment Period

Open date: November 19th, 2019

Next review date: Friday, Jan 3, 2020 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Friday, Feb 28, 2020 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Are you passionate about solving big scientific problems in education through innovative technology and working in a highly multi-disciplinary collaborative environment? Would you like to know more about how computer vision, affective computing and machine learning are helping create new forms of learning and assessment tools? If this sounds intriguing, then we'd like to talk to you about a role as part of a new ACTNext, ACT R&D team tackling a set of problems requiring significant innovation.

Responsibilities

• In this project we will develop new AI systems that allow bringing the reasoning closer to how a human learns and reasons about the world. More specifically, we will target the following key characteristics where humans perform better at than traditional AI systems: 
  - humans can cope much better with hierarchical information structure;
  - humans are able to learn much faster and better from limited data, often exploiting previous knowledge;
  - humans are able to perform much more complex reasoning and go beyond simple pattern matching.

At Aalborg University two fully funded PhD stipends are now available on the project “Effortless Hearing in Noise by Brain Feedback”. 

We are looking to hire a motivated post-doc to work on machine learning and data analytics. The candidate must have a strong background in machine learning, AI, signal processing, optimization methods, probability, and statistics. The candidate must have a Ph.D. in relevant fields.

Required:

We are looking to hire a motivated post-doc to work on machine learning and data analytics in signal processing. The candidate must have a strong background in machine learning, AI, signal processing, optimization methods, probability, and statistics. The candidate must have a Ph.D. in relevant fields.

Required:

About the position:

We have a vacancy for a PhD Research Fellow position at the Department of Electronic Systems (IES). The PhD position is for up to 4 years with 25% work assignments for NTNU IES.

Job description:

Immediate opening for a postdoctoral researcher in radionavigation and wireless communication systems at the Autonomous Systems Perception, Intelligence, & Navigation Laboratory (https://aspin.ucr.edu); University of California, Irvine (https://uci.edu).

Audience:  Fresh PhD who want to apply their ML skill to develop innovative applications in audio and music, with direct implementation within a commercialized product, and an ambitious technological roadmap for the years to come.

Job description: full time job within a team of 4 engineer / researchers / developers, completely integrated with the 12 members of the company.