Senior Scientist in Natural Language Processing

  • Anywhere

Website FhP_AICOS Associação Fraunhofer Portugal Research

Fraunhofer Portugal: A Driving Force in Innovation.

Senior Scientist in Natural Language Processing


Job Ref: FhP_Jobs_2021_27

Job Type: Full time – fixed term contract.

Job Salary: Depending on the academic degree and professional experience of the candidate.

Job Location: Porto, Portugal.



Fraunhofer Portugal AICOS is looking for a Senior Scientist to work in its Intelligent Systems team, specialized in Natural Language Processing (NLP).

The Senior Scientist role is highly strategic for Fraunhofer Portugal AICOS’s quest to create scientific knowledge capable of generating added value to its clients and partners. As a Senior Scientist at AICOS, you will create purposeful technology to promote economic growth, social well-being and improve the quality of life of its end-users.

Within the Intelligent Systems team, you will lead small teams of researchers and work hand in hand with clients and partners to conceptualize, plan and develop new AI-based solutions.

Your responsibilities:

–     Scientifically guide researchers specialized in NLP;

–     Employ state-of-the-art NLP methods for feature extraction from unstructured text and application in classification tasks, not restricted to deep learning techniques (e.g., Named Entity Recognition, Semantic Similarity, etc.);

–     Plan and guide developments in document summarization and highlighting, topic mining, sentiment analysis, and conversational agents;

–     Be updated on the latest scientific findings in your area of specialization and share your knowledge with the team;

–     Collaborate with teammates, clients, partners, and domain experts to generate new project ideas and to conceptualize new AI solutions that create business value and a positive impact on society;

–     Develop and share best practices of professional data science and machine learning;

–     Lead projects by maintaining effective communication within the project team and with external partners, ensuring milestones and deadlines are successfully met;

–     Share your knowledge with others by giving talks, preparing research proposals, project deliverables and scientific papers;


–     PhD degree in Computer Science, Data Science, Biomedical Engineering, Electrical Engineering, Mathematics, or related studies;

–     Strong software prototyping experience in research environment, with active programming experience in Python;

–     At least 3+ years of hands-on professional expertise in developing solutions involving Natural Language Processing and demonstrated through scientific publications and/or successful product development;

–     Expertise in programming with widespread ML Frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch);

–     Excellent Portuguese and English communication skills (technical and business audiences).

We Value:

–     Ability to work with cross-functional teams;

–     Self-motivated, driving for results, and team-player;

–     Flexible and quick learner;

–     Problem-solving, proactive, and critical thinking attitude;

–     In-depth knowledge of machine learning projects pipeline (data collection, data labelling, data preparation, model development, model evaluation, model optimization, model deployment);

–     Experience with software development and deployment tools (e.g., Git version control, unit tests, containers);

–     Experience in projects in NLP applied to the health domain;

–     Understanding of the business and economic considerations associated with healthcare innovation.

In return, we offer you:

–     Excellent work conditions in a stimulating and dynamic environment with opportunities to contribute to a number of innovation topics and application areas in relation to healthcare solutions and services, but not only. You have the opportunity to contribute to the growth of your team;

–      Opportunity to lead the way in your technical field and make the difference in creating AI solutions that generate value and impact;

–      Excellent conditions of employment including attractive salary (depending on the academic degree and professional experience), private health insurance plan, access to entrepreneurship programmes and a people-centric environment.

Why should you join Fraunhofer Portugal:

Operating as it does at the interface between science, research and industry, Fraunhofer offers a broad spectrum of professional opportunities and a working environment that encourages creativity and the development of new ideas, in which personal and career development go hand in hand. Fraunhofer’s HR management aims to create fertile ground for such progress by establishing the necessary framework of programs and other supporting measures.

Application Process:

Applications are permanently open until the ideal candidate is selected. A first “cut-off” to evaluate applications day will occur on the 15th of October 2021.

The selected candidate is expected to start working in November 2021.

Applications must be made to the email and contain:

–     CV – mandatory;

–     Motivation Letter – mandatory;

–     Recommendation Letters are optional but also welcome.



The research activities in the scope of this job opportunity are planned to be developed within the framework of projects:

–     HighSkillHR – Fraunhofer Portugal AICOS Highly Skilled Human Resources Recruitment, with reference NORTE-06-3559-FSE-000099, Funded by Norte 2020 Programa Operacional Regional do Norte.


Data Science Portugal retains the right to refuse to post jobs from any employer or any organization that do not support the interests and values of Data Science Portugal and its community.

Postings are based on the information provided by the employer and is of their entire responsibility.

Data Science Portugal makes no guarantee about positions listed and is not responsible for safety,wages, working conditions, or other aspects of employment. It is the responsibility of each individual job seeker to research the integrity of the organization(s) to which he/she is applying and to verify the specific information pertaining to the job posting. Job seekers should exercise due diligence and use common sense and caution when applying for or accepting any position.

We will not post jobs that appear to discriminate against applicants on the basis of race, color, religion, creed, age, national origin, sexual orientation, disability, or gender.

To apply for this job email your details to