part of a strong international team working in the area of anomaly detection and prediction as well as fault localization in enterprise networks using machine learning and data mining techniques
At: U. of Porto, Portugal
Location: Porto, Portugal
Research Fellowships in Machine Learning and Data Mining With Applications to Enterprise Networks at the University of Porto, Portugal
The Instituto de Telecomunicações - Universidade do Porto and our partners are welcoming applications to a number of Carnegie Mellon-Portugal Program Research Fellowships in the areas of machine learning and data mining with applications to network management starting in Q1/Q2 2011.
Successful applicants will be part of a strong international team working in the area of anomaly detection and prediction as well as fault localization in enterprise networks using machine learning and data mining techniques, that currently includes researchers and PhD students from Carnegie Mellon University, from Portuguese Universities in Lisbon and Porto, and from a large Portuguese Telecom operator with an international footprint in Africa and South America.
Applications to the Carnegie Mellon-Portugal dual degree PhD programs (www.cmuportugal.org/), close onsite cooperation with Carnegie Mellon University in the U.S.A. and the Portuguese Telecom Operator, and furthering European and other international collaborations will be strongly encouraged.
Grant Type: Research Fellowship (980 EUR/month)
Grant Duration: 36 months, renewable every year subject to performance
Workplace: Instituto de Telecomunicaações
Department of Computer Science, University of Porto, Portugal
- Master Degree in EE, CS or related fields;
- Familiarity with machine learning, data mining, and/or networks;
- Good Mathematical skills;
- Good English writing skills;
- Ability to integrate multi-disciplinary teams.
Applicants are encouraged to submit the curriculum vitae, a research statement and two reference letters to Prof. Miguel Rodrigues (firstname.lastname@example.org).
The candidates will be eventually invited for an interview at an appropriate date. The duration of the grant is 36 months, renewable each year subject to performance. For further information, please contact Prof. Miguel Rodrigues. The closing date is 4th of March, 2011.