A Research Assistant contract for an outstanding candidate to undertake research on Machine Learning (ML) and Natural Language processing (NLP). - 1 Open Position.
The expected outcome of the research is a Master Thesis dissertation concerning the development of scalable and robust algorithms to apply intelligent techniques in the field of machine learning and natural language processing in emotive environments.
The PhD position is open at the Intelligent System Group (GSI), Department of Telematic Engineering at the Telecommunications Engineering School of Universidad Politécnica de Madrid (Technical University of Madrid).
Eligibility criteria - Profile
- A Graduate Degree or an equivalent in Computer Science, Telecommunication Engineering, or a related field with a strong academic background in Machine learning, Linked Data, and/or Natural Language Processing.
- Applicants with an experience in one or more of the above academic fields are encouraged to apply.
- High proficiency in written and oral English. Spanish speaking skills are appreciated.
- Good and demonstrable programming skills, preferably in Python.
- To conduct research on machine learning (ML) or natural language processing (NLP).
- To develop novel techniques on machine learning algorithms and to evaluating them.
- To publish and present results both at international conferences and in high impact scientific journals of the field.
- To collaborate in challenging and competitive research projects both in the proposal redaction and in the project execution.
- Enthusiastic and young team of developers, researchers, post-docs and professors.
- Inspiring, flexible and very dynamic environment.
- Half-time position with competitive salary. (10.5k€, equivalent to a full-time position with 21k€ salary.)
- Contract tied to a 2-year publicly-funded research project.
- Applications will be accepted by order of submission until suitable candidates are found, no later than 1st March
- Start date: immediate.
How to apply
We will carefully review your application and you will be contacted for further interviews.
Our staff consists of 11 professors, 7 researchers and collaborators from several departments of the university, mainly from the Department of Telematic Systems Engineering (DIT, Departamento de Ingeniería de Sistemas Telemáticos).
Since 1982, our group has conducted research, development and innovation in theories, methods and applications of artificial intelligent techniques, specially in intelligent agents, semantics technologies, machine learning and language engineering.