Context And Mission

Nowadays, huge volumes of data are being generated from a variety of sensors, which can be transformed into valuable knowledge through Artificial Intelligence (AI) and big data technologies. In this context, an effective combination of edge and cloud computing technologies (a.k.a. compute continuum) has been rising as an emerging paradigm that: (1) allows bringing computation closer to the data sources, bringing down latency and energy consumption with respect to cloud computing, enabling novel real-time services for domains such as smart city; and (2) provides high-performance capabilities for data intensive algorithms. Moreover, the different communication technologies (e.g., 5G) can offer the necessary bandwidth, ultra‐low latency, and massive device connectivity needed to distribute applications across the compute continuum. Unfortunately, edge and cloud computing and networks technologies have been evolving in parallel, and they are not fully integrated, leaving a gap that must be addressed to jointly leverage the compute computing capabilities.
The research activities will be focused on one or several of the following topics, among others:
1. Develop advanced AI pipelines, addressing different application domains, including but not limited to smart mobility, astronomy, precision agriculture, etc.
2. Design of orchestration policies that meet specific application requirements, jointly taking into account computing and communication resources in a distributed edge/cloud computing environment.

The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s



Key Duties


- Support the research on policies and architecture design for edge computing, leveraging advanced edge devices (featuring GPUs, many-core, FPGAs, etc.)
- Develop system prototypes featuring advanced AI analytics pipelines for different application domains
- Support the execution of ongoing research projects by attending technical meetings and writing technical reports
- Generate scientific outcomes (journal and conference paper writing and presentation)

Requirements

Education
Bachelor degree or MSc in Computer Science or Communications or related discipline
Essential Knowledge and Professional Experience
Edge/cloud computing technologies, including container technologies (Kubernetes), serverless, etc.
Advanced knowledge on Python and C/C++ programming languages
Additional Knowledge and Professional Experience
Knowledge of optimization and AI/ML techniques for resource management will be considered an asset
Knowledge about parallelism and HPC systems will be considered an asset
Fluent English both written and spoken
Competences
Candidates should be proactive and self-motivated, with positive work attitude
Ability to take initiatives, prioritize tasks and work under set deadlines
Ability to work both independently and within a team
Analytical thinking, problem-solving and result-oriented attitude

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
Duration: 4 years
Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
Salary: 45.000,00 €
Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024