Priberam - NLP/ML Junior research scientist

Deadline: As soon as possible

Graduates

Companies

Location(s)

  • Online
  • Portugal
Lisbon / Remote

Overview

We are currently expanding Priberam Labs, and are looking for highly motivated candidates to work in exciting projects related to Machine Learning and Natural Language Processing.

Details

We offer a stimulating research environment, with connections to the international ML and NLP state-of-the-art research scene. We are looking for highly motivated researchers. The candidates are expected to work in collaboration with other European/Portuguese research centers and Universities. As a Junior Research Scientist at Priberam Labs, you will apply your skills to develop new algorithms and solutions in the scope of our products and ongoing European and National funded projects.

The key responsibilities will be:

  • Researching innovative and scalable machine learning techniques for NLP and text mining on various topics such as: Language Modeling, Language Generation, Neural Summarization, Entity Linking, Named Entity Recognition, Relation Extraction, Transfer Learning, Multilingual-transfer, Topic Classification, Information retrieval;
  • Writing prototype code and interacting with the product development team;
  • Integrating ML algorithms into the global NLP system;
  • Writing scientific papers, presenting our work at scientific conferences.

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

The ideal candidate should have the following skills:

  • MSc in Computer Science, Computational Linguistics, Electrical Engineering, or other related field;
  • Knowledge of Natural Language Processing and/or Machine Learning;
  • Experience in developing, analyzing, and implementing algorithms;
  • Excellent programming skills (preferably in Python);
  • (optional) a track record of publication in international conferences or journals.

Dates

Deadline: As soon as possible


Cost/funding for participants

Benefits:

  • Competitive salary;
  • Laptop;
  • Individual budget to setup your workstation (for remote work)
  • Health Insurance;
  • Professional skills training to support you on your career journey.
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