Job Reference
386_25_LS_LT_RE1
Position
Research Engineer – Automatic Speech Recognition with Deep Learning (RE1)
Closing Date
Tuesday, 21 October, 2025
Reference: 386_25_LS_LT_RE1
Job title: Research Engineer – Automatic Speech Recognition with Deep Learning (RE1)
About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
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.
Context And Mission
The Language Technologies Laboratory at BSC has consolidated experience in several NLP areas, such as massive language model building, biomedical text mining, machine translation and unsupervised learning for under-resourced languages and domains. It has been entrusted by the Spanish and the Catalan governments with the mission to develop fundamental open- source resources and technologies for Spanish and Catalan. In connection with this, the LT Lab is currently in charge of two flagship projects at the national and regional level: the ALIA project, funded by the Spanish Secretariat of Digitalisation and Artificial Intelligence, and the AINA project, aimed at developing AI resources for Catalan, funded by the Catalan Digitalisation Department. In addition, the Lab participates in various EU funded international projects.
The LT Lab is looking for a junior research engineer to work in automatic speech recognition tasks. The selected candidate will work in a highly sophisticated HPC environment, access state-of-the-art systems and computational infrastructures, and collaborate and work closely with the group members.
Este contrato se encuentra financiado por el proyecto “DESARROLLO DE MODELOS DEL LENGUAJE EN EL MARCO DEL PLAN NACIONAL DE TECNOLOGÍAS DEL LENGUAJE, EL PERTE DE NUEVA ECONOMÍA DE LA LENGUA Y EL PLAN DE RECUPERACIÓN, TRANSFORMACIÓN Y RESILIENCIA- FINANCIADO POR LA UNIÓN EUROPEA – NEXTGENERATION EU”, con referencia externa 2023EtL00054, promovido por la Secretaría de Estado de Digitalización e Inteligencia Artificial (SEDIA), cuyos fondos provienen del Ministerio para la Transformación Digital y de la Función Pública, financiado por la Unión Europea-NextGenerationEU».
Key Duties
- Develop innovative modules for automatic speech recognition with deep learning.
- Participation in internal group meetings and other scientific discussions.
- Writing and presentation of research papers.
- Participation in current projects related to speech technologies including but not limited to research, documentation and deliverables.
- Collaborate in research and presentation of new scientific projects.
- Collaborate with the members of the group in the generation and evaluation of language resources.
Requirements
- Education
- Bachelor's degree in Electronic Engineering, Computer Science, Mathematics or related subjects, with specialization in speech processing and recognition, and background in computation.
- A master's degree is desired but not mandatory.
- Essential Knowledge and Professional Experience
- Machine learning.
- Programming skills in Linux, Python, Deep learning libraries, git.
- Ability to conduct scientific literature review and evaluation.
- Additional Knowledge and Professional Experience
- Fluency in spoken and written English, Spanish and/or Catalan are desired.
- Strong interest in Speech and Natural Language Processing.
- Knowledge of Spanish and English.
- Competences
- Good communication and presentation skills.
- Ability to work under set deadlines.
- Ability to work both independently and within a team.
Conditions
- 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: Temporary, until 30/06/2026
- 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: asap
Applications procedure and process
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@bsc.es.
For more information, please follow this link.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
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
Application Form
You are applying for the following job offer
Name and Surname *
Gender ** *
Female
Male
Other
Email *
Nationality** *
Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)? *
please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
Indicate what BSC department/s you want to apply.
Computer Sciences
CASE
Life Sciences
Earth Sciences
Indicate what research group/s you want to apply.
Upload CV (select the file, then click the Upload button) *
Please, upload your CV document using the following name structure:
Name_Surname_CV
Files must be less than
3 MB.
Allowed file types:
txt rtf pdf doc docx.
Cover Letter (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure:
Name_Surname_CoverLetter
Files must be less than
3 MB.
Allowed file types:
txt rtf pdf doc docx zip.
Other Documents (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure:
Name_Surname_OtherDocument
Files must be less than
10 MB.
Allowed file types:
txt rtf pdf doc docx rar tar zip.
- Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.
Data policy: *
I accept the data policy *
Other: *
I confirm that the information given in this form is true, complete and accurate.
Leave this field blank
