Research Engineer

**Job Reference**:

- 850_24_CS_CAOS_RE1**Position**:

- Research Engineer (RE1)**Closing Date**:

- Sunday, 15 December, 2024**Reference**: 850_24_CS_CAOS_RE1**Job title**: Research Engineer (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.

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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.**Context And Mission**

The deployment of Artificial Intelligence (AI) based solutions to deliver advanced software functionalities is consolidating as a key competitive factor in several industrial domains. In the automotive industry, autonomous driving (AD) software is meant to support autonomous operation and decision making for all aspects in a vehicle, by processing of a massive amount of data coming from multiple sensors like cameras and LiDARs. The entailed computational requirements can only be matched by complex MPSoCs (Multi-Processor System on Chip) with generic and ah-hoc hardware accelerators. Moreover, the increasing complexity of AI-based software functionalities encourages the use of highly modular middleware frameworks such as ROS2, CyberRT, or Autoware, running on top of general-purpose and/or automotive operating systems. Performance and (timing) analyzability are two fundamental (and sometimes conflicting) requirements for this type of system, where extensive guarantees must be provided on the capability to deliver correct results in a timely manner, as dictated by domain-specific Functional Safety (FuSa) standards.**Key Duties**
- Research on image transformations to decrease training cost and increase robustness for varying weather conditions.
- Extend that solution for other parameters (e.g., related to characteristics of humans)
- Extend solutions to account for the gap between data from simulations and from real life.

**Requirements**:

- Education
- Master’s Degree on Computer Science, Computer Architectures, Mathematics, or similar, or in the process of presenting the TFM.
- Essential Knowledge and Professional Experience
- Moderate expertise on Machine Learning and Deep Learning
- Familiarity with Deep Learning frameworks (Pytorch, TensorFlow, etc.)
- Familiarity with scripting languages (e.g. Python)
- Additional Knowledge and Professional Experience
- Minimal experience with Linux-based environment is also appreciated
- Experience with object detection models and simulators is very welcome
- Competences
- Problem-solving, proactive, collaborative, and result-oriented work attitude
- Good communication skills, including proficiency in English (both written and spoken)

**Conditions**
- The position will be located at BSC within the Computer 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
- Starting date: 1/1/2025

**Applications procedure and process**
- A full CV in English including contact details
- A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.

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**Deadline**OTM-R principles for selection processes**

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.
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