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PhD position on Machine Learning

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PhD position on Machine Learning
NLP PEOPLE
Genova
On-site
EUR 15,000 - 25,000
Full time
30+ days ago

Job summary

A leading university in Genoa is offering a PhD position focused on machine learning techniques for cognitive dynamic systems with applications in telecommunications and physical security. The role involves developing new Bayesian learning methods and applying them to radio and video domains, alongside opportunities for collaboration in funded research projects.

Qualifications

  • Degree in Telecommunication Engineering, Electronic Engineering, Information Engineering, IT, or Computer Science.
  • Basic knowledge in signal processing, communication systems, pattern recognition, and image/video processing.
  • Good command of English required.

Responsibilities

  • Develop novel learning techniques using a Bayesian approach.
  • Apply techniques to cognitive radio networks and video data analysis.
  • Participate in ongoing research projects when available.

Skills

Signal Processing
Communication Systems
Pattern Recognition
Image/Video Processing
English

Education

Laurea Vecchio Ordinamento or Laurea Specialistica
Master of Science or equivalent degree
Job description

*Machine learning techniques for cognitive dynamic systems: application of the Bayesian approach to radio and video domains*

The proposed PhD involves the study of machine learning techniques with a Bayesian approach: the goal of the PhD is to develop novel learning techniques and apply them to possibly two different domains. On one side, bio-inspired learning approaches can be applied to cognitive radio networks thus allowing adaptive methods for analysis
and decision to evolve under specific environmental operating conditions. Focus will be on Bayesian methods and game theory approach for modelling dynamic strategies for opportunistic spectrum access.

Moreover, a Bayesian approach can be applied for learning from video data: signals acquired from both static surveillance cameras and egocentric vision sensors can be analysed for characterizing behaviours of both single users and complex active entities (e.g. crowds).

Activities will be oriented to address the use of developed methods within bio-inspired cognitive artificial systems for physical security and telecommunications.

Possibility will be open during the PhD to join on going funded research projects when available within the joint labs ISIP40 has with industries (e.g Technoaware, Telecom, ligurian industrial district SIIT).

Company:

University of Genoa

Qualifications:

1. *Laurea Vecchio Ordinamento*or*Laurea Specialistica*degree for Italian applicants in one of the following fields (or another relate field);*Master of Science*or equivalent degree for
applicants from abroad:
1. Telecommunication Engineering
2. Electronic Engineering
3. Information Engineering
4. IT
5. Computer Science (or Laurea degree in Informatica)

2. Basic knowledge in the following topics:
1. Signal Processing
2. Communication Systems
3. Pattern Recognition
4. Image/Video Processing

3. English knowledge

Language requirements:

English

Specific requirements:

1 position (3 years) starting at the beginning of October 2015; expiration date for first level applications: May 10th, 2015*

Tagged as: Academia, Bayesian Methods, Italy, Machine Learning, Pattern Recognition

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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