Duties and responsibilities

The selected candidate will be responsible for:

• carrying out research on various topics such as: Neural Summarization, Entity Linking, Named Entity Recognition, Relation Extraction, Transfer Learning, Multilingual-transfer, Topic Classification

Profile requirements

• PhD. in computer science, computational linguistics, NLP, ML, or related.
• Programming skills in Python.
• Knowledge of deep learning architectures and frameworks (PyTorch, Tensorflow).
• Very good communication skills.
• Prior experience in the area is a plus.

Starting date

The successful candidates will start as early as possible.

About Priberam Labs

We are a research team based in sunny Lisbon, Portugal. Priberam (https://www.priberam.com) was created in 1989. Priberam is a worldwide leader Language Technology provider for Portuguese.

We believe that a strong connection to the academic world is fundamental to our success. Priberam is an industry affiliate of CMU Portugal and a member of the IST Spin-Off Community.

Priberam Labs is currently involved in:

• LxMLS (Lisbon Machine Learning School), an annual international summer school on Machine Learning and Natural Language Processing.
• Priberam Machine Learning Lunch Seminars, a series of seminars on Machine Learning which occur every two weeks.
• Master’s Projects, short-term projects aimed at final year students which are jointly supervised by Priberam Labs researchers and University professors.

For more information on our recent work please follow our Publication list, Projects and Resources.

Ongoing projects:

• TRAINER – A PT2020 co-funded project which aims to create a multilingual offer of text mining and natural language understanding SaaS services based upon a transfer learning infrastructure using deep learning technologies.
• SELMA (Stream Learning for Multilingual Knowledge Transfer) – A EU RIA co-funded project aiming to build a continuous deep learning integrated multilingual media platform using extreme analytics, transfer learning, and advanced natural language processing technologies
• MONITIO – EU FTI co-funded project aiming at Bringing to the market a new generation of AI-powered Media Monitoring Tools, with a research component on Fact Checking lead by the University of Cambridge.
• IntelligentCare – A CMU Portugal co-funded project aiming project is to develop a multi-morbility management decision support system focused on the patient’s vision of value.

The key responsibilities will be:

• Develop backend software for Priberam’s line of products;
• Develop code in Python, C# or C++;
• Database design and programming;
• Develop multiplatform applications (Windows/Linux) following a micro-services architecture (Docker, Kubernetes);
• Follow industry standard practices for software development, testing and deployment.

The ideal candidate should have the following skills:

• BSc or MSc in Computer Science, Electrical Engineering, Physics Engineering, or other related field;
• Experience database programming and design (PostgreSQL, SQL Server, etc);
• Excellent programming skills (preferably in one of Python, C# or C++);
• Experience in developing, analyzing, and implementing algorithms.

Responsibilities:

• Develop interfaces for data exploration and visualization;
• Communication with the backend and research team;
• Write client-side applications with the VueJs and D3 frameworks;
• Develop client-side interfaces with Material and Bootstrap;
• Keep in touch with recent trends on the front-end development field, and be eager to learn and adapt to other technologies/frameworks depending on the project;
• Create and maintain unit tests for the developed applications
• Integrate results and ideas from the mockup and webdesign team into working applications.

Experience guidelines:

• Strong expertise in web technologies for layout and placement (HMTL, CSS);
• Experience in writing modern Javascript client-side applications and knowledge of ES6 features;
• Experience in at least one modern styling framework (Bootsrap, Material, Semantic-UI);
• Experience in at least one modern frontend framework (Angular, VueJs, React);
• Experience with the NPM package manager;
• Confidence with multi-platform development (Windows/Linux) and experience using command line tools;
• (Nice to have) Knowledge of NodeJs;
• (Nice to have) Experience in a server-side language (C#, Python, C++);
• (Nice to have) Knowledge of a data visualization framework (e.g., D3).

The key responsibilities will be:

• Researching innovative and scalable machine learning techniques for NLP and text mining;
• 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 and occasionally working with student interns.

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 Machine Learning;
• Experience in developing, analyzing, and implementing algorithms;
• Excellent programming skills (preferably in C++ and Python);
• (optional) a track record of publication in international conferences or journals.

Experience in Big Data technologies, entity linking, sentiment analysis, or health care analytics will be considered a plus.

The key responsibilities will be:

• Develop high-performant software for in C++ for IR applications (Search Engine, Recommendation, Media Monitoring);
• Writing prototype code (C++/Python) to experiment new algorithms and methods;
• Interacting with the research team and integrate novel ideas into Priberam’s products;
• Follow industry standard practices for software development, testing and deployment.

The ideal candidate should have the following skills:

• MSc in Computer Science, Computational Linguistics, Electrical Engineering, Engineering Physics, or other related field;
• Good knowledge of algorithms and data structures;
• Excellent programming skills (preferably in C++ and Python);
• Experience in developing, analyzing, and implementing algorithms;

The key responsibilities will be:

• Develop backend software for Priberam’s line of products;
• Develop code in .NET core C#, NodeJs and Python;
• Develop multiplatform applications (Windows/Linux) following a micro-services architecture (Docker);
• Follow industry standard practices for software development, testing and deployment.

The ideal candidate should have the following skills:

• BSc or MSc in Computer Science, Computational Linguistics, Electrical Engineering, Engineering Physics, or other related field;
• Good programming skills (preferably in one of C#, Javascript, or Python);
• Experience in developing, analyzing, and implementing algorithms.

The key responsibilities will be:

• Create a fantastic first impression to prospects and customers while building a pipeline for Account Executives
• Respond to inbound requests via the telephone and email
• Organize and categorize sales lead information into Salesforce.com
• Focus on building a great team environment for a fun and energetic atmosphere

The ideal candidate should have the following skills:

• Bachelor’s degree from an accredited University
• 1-2 years of SaaS sales experience
• Demonstrated success in meeting targets
• Passion for developing a career in a technology sales
• Excellent written and verbal communication skills with both internal and external clients
• Native English level is mandatory
• Outstanding time management skills
• Goal oriented
• High energy team player
• Experience using salesforce.com

• Duration: 3 months
• Skills: Machine Learning and/or Natural Language Processing

We welcome applications from Master’s and PhD students who would like to have a short-time experience in the industry. We offer a stimulating research environment, with connections to the international ML and NLP state-of-the-art research scene.
The specific start and end dates are flexible, but we expect interns to work for about three months in a project of their choice, together with our research team. Before the internship actually starts, the intern and our research team will elaborate a research plan suitable for a 3-month duration, with concrete goals.

The ideal candidate is:

• a Master’s or PhD student in Computer Science, Computational Linguistics, Electrical Engineering, or other related field
• someone with knowledge of Machine learning and/or Natural Language Processing
• experienced in developing, analyzing, and implementing algorithms
• a strong programmer (preferably in C++ and/or Python, but proficiency in other languages is acceptable)
• (optional) an author of scientific papers in international conferences or journals.