Job Reference
Position
Closing Date
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
The Language Technologies Unit is looking for candidates with a background in computational linguistics with experience in Language Technologies, specifically in Deep Learning and large language model building, and possibly in other areas of Natural Language and Speech Processing.
The successful candidate will work in a highly sophisticated HPC environment, have access to state-of-the-art systems and computational infrastructures, and establish collaborations with experts in different areas at the local and international levels.
The researcher will implement innovative techniques for language modelling and evaluation in the HPC environment.
- Work, in collaboration with the group members, on the design and development of the solutions needed to achieve the goals of the group’s research projects.
- Interact with relevant stakeholders of the group’s research projects to understand their problems and the available data to formulate valuable solutions.
- Collaborate with the members of the group in the generation and evaluation of language models using Deep Learning techniques (Transformers, Recurrent Neural Networks, and other neural network architectures).
- Manage corpora and language data according to the requirements specified in the Unit’s data management plan. Evaluate MT systems.
-
Education
- Degree in Applied Linguistics, Computer Science or related disciplines with a very strong linguistic background.
-
Essential Knowledge and Professional Experience
- Native speaker of Catalan.
- Experience/knowledge in corpus annotation and generation of linguistic resources.
- Understanding of data administration and management functions (transfer, storage, analysis, distribution, exploration, etc.).
- Good knowledge of Python.
- Experience in machine learning techniques applied to NLP.
- Research experience.
- Knowledge of Test-Driven Design and/or Development.
- Knowledge of Deep Learning.
-
Additional Knowledge and Professional Experience
- Theoretical knowledge of AI techniques.
- Knowledge of HPC workload managers such as Slurm.
- Experience in research and dissemination activities, including paper writing.
- Basic Knowledge of GPU-based computing.
- Fluency in spoken and written English.
-
Competences
- Ability to work independently and in a team to complete tasks on schedule.
- Capacity to explore new research lines.
- Good communication and presentation skills.
- Ability to work within a team and within a pair (pair programming).
- Ability to work under set deadlines.
- The position will be located at BSC within the Life Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: 01/03/2025
All applications must be submitted via the BSC website and contain:
- A full CV in English, including contact details.
- A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
For more information, please follow this link.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link