Job Information
- Organisation/Company
- Universitat Pompeu Fabra - ETIC
- Department
- Tecnologies de la Informació i les Comunicacions
- Research Field
- Other
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Spain
- Application Deadline
- Type of Contract
- Other
- Job Status
- Full-time
- Hours Per Week
- 35
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Tasks: Identify state-of-the-art deep reinforcement learning algorithms. Model a real-world sequential decision problem as a deep reinforcement learning problem. Assist in developing a simulator based on historical data that allows fast interaction with a learning agent. Evaluate state-of-the-art deep reinforcement learning algorithms in the simulator and select the best algorithm for the project. Tune the parameters of the chosen algorithm to maximize performance in the simulator. Implement and tune the algorithm in the actual physical system, and ensure that the physical integration satisfies safety and performance constraints. Write reports and articles summarizing the work and give presentations to colleagues or at conferences.
Main research field: Reinforcement learning.
Requirements
- Research Field
- Other
- Education Level
- Master Degree or equivalent
Master's thesis in a relevant field, ideally about to finish a PhD thesis.
Previous experience with deep reinforcement learning algorithms.
Previous experience carrying out fundamental research in artificial intelligence and publishing research articles.
English proficiency a must.
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
1. Academic Training (0-20 points) with a special focus on relevant field-specific courses.
2. Professional experience/Adequacy to the proposed profile ( 0-60 points)
- Previous experience with deep reinforcement learning algorithms.
- Previous experience carrying out fundamental research in artificial intelligence.
- Research articles published.
- Previous experience working on research projects.
3. Other merits (0-20 points): Proficiency in writing program: Python and other libraries.
For more information about the call, how to apply, the list of those admitted and excluded, as well as the hiring proposal, check the website: https://www.upf.edu/web/etic/management
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Universitat Pompeu Fabra - ETIC
- Country
- Spain
- City
- Barcelona
- Postal Code
- 08018
- Street
- Roc Boronat 138
- Geofield
Where to apply
- Website
Contact
- City
- Barcelona
- Street
- Roc Boronat 138
- Postal Code
- 08018
- randp.dtic@upf.edurecerca.etic@upf.edu