PhD Scholarship in Signal Processing and Machine Learning Algorithms
The closing date for this job submission has passed.
PhD Studentships in Signal Processing and Machine Learning Algorithms
Programme of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil
Applications are invited for PhD studentships in signal processing and machine learning algorithms. These studentships are funded by the CNPq/CAPES research councils in Brazil. The topic of the study is open within the general areas of signal processing and machine learning and their applications to electronic systems, data science and sensor systems. Potential topics include but are not limited to:
- Adaptive learning techniques
- Distributed and federated learning
- Optimization algorithms
- Reinforcement and deep learning
Deadline for application: 25 June 2022
Start date: mid August 2022
This is an exciting international opportunity for a candidate with (or expecting) an MEng or MSc with First Class Honours in Electrical and Electronic Engineering or related areas. Amongst the key technical disciplines are an excellent level of mathematics, development of algorithms and design of electronic systems. The successful candidate will be based at PUC-Rio, Rio de Janeiro, Brazil, will colaborate and visit international partners, and is expected to attend international conferences.
The studentships are open to everyone, cover the tuition fees, and give a stipend of about US$ 800 per month for 4 years. Additional funding might be available with industrial projects and requires extra 4-6 hours per week.
Applicants should send an up to date CV with photo, a one-page personal statement, full contact details (including email addresses) of 2 referees, transcripts and publications to:
Prof. Rodrigo C. de Lamare, PUC-Rio - email@example.com
- email redacted
- Related URL
- Topic Categories
- Stelle Odontologia: Invisalign, Avenida Nelson Cardoso, 943, Rio De Janeiro, Rio de Janeiro 22730, Brazil
- Closing Date
- June 25, 2022