Postdoctoral Researcher– Machine Learning for Edge AI Systems Contract: Full Time/Fixed Term
Tyndall National Institute is a research flagship of University College Cork and an internationally recognised European research centre in integrated ICT (Information and Communications Technology) encompassing materials, devices, circuits and systems. As Ireland's largest Research and Technology Organisation (RTO), specialising in both electronics and photonics, Tyndall works with global industry and academia to transform research into products in its core market areas of electronics, communications, energy, health, agri-tech and the environment. With a network of over 200 industry partners and customers worldwide, Tyndall is focused on delivering human and economic impact from excellence in research. Tyndall is home to a research community of 600 people of over 50 nationalities.
Tyndall has recently received significant funding from the SFI Research Centre CONNECT for the SAPIENT (Self-Adaptive IoT Systems for Energy Optimization) project. Research aims to focus on integrating machine learning (ML) techniques into self-adaptive IoT systems so that ML can draw intelligent conclusions based on historical data, paving the way for better energy optimization.
Key Responsibilities
The candidate will work in a team environment and under the direction of the Principal Investigator to:Use Machine Learning and/or Data Science to create novel algorithms/approaches to drive the established research agenda in the field of edge AI.Design, implement, test and document new innovative algorithms/methods for self-adaptive ML-based IoT systems.Liaise with research partners and relevant stakeholders at a technical level.Manage communication with relevant parties.Validate reliability and performance under laboratory conditions.Work efficiently with other team members in the software, hardware and testing development.Carry out administrative work to assist the program of research and ensure all project deliverables and milestones are achieved in a timely manner.Participate in Education and Public Engagement activities, as required.Contribute to the engagement on IP activities in partnership with the Office of Technology Transfer.Ensure all activities are compliant with the Tyndall Quality Management system.Ensure all activities are compliant with the required Health and Safety standards.Carry out any additional duties as may reasonably be required within the general scope and level of the post.Essential Criteria
The candidate should have:A PhD in Electrical and Electronic Engineering, Computer Science, Applied Mathematics, Data Science or related area.Typically 1-2 years of experience in implementing machine learning algorithms on IoT devices or resource constrained devices.Typically 1-2 years of experience in different tools: Matlab, C, Python.Deep knowledge of math, probability, statistics and algorithms.Typically 1-2 years of experience with lab equipment (e.g. electronic equipment), and a willingness to adapt to a multidisciplinary field.A strong publication record.Desirable CriteriaPrior experience of working with/in industry, scientific paper writing, conference presentation and report writing is also desirable.Past experience in interacting with business stakeholders is also a plus.An ability to work unassisted to a tight schedule.A demonstrated capability in the delivery of research projects.Capability of working effectively within a team to achieve results.Excellent verbal and written communication skills.Self-motivation, initiative, and being achievement-oriented.Skills and Experience
This is an exciting project in a fast-moving, industrially relevant area. Reporting to the Principal Investigator of the research activity, the candidate will take a hands-on role, and will be in charge of the day-to-day execution of the technical research tasks outlined above. Scientific dissemination (preparation of regular internal reports, journal and conference publications, and industrial liaison) is an essential part of the position. Some international travel may also be required.
It is critical that the candidate has an ability to work in a team environment, as he/she will liaise closely with other team members engaged in developing complementary aspects in the project. The successful candidate should be highly motivated with excellent organizational and communications skills, exhibit knowledge of the research environment, the ability to communicate his/her research and the potential to manage a research project.
The successful candidate will experience the excitement of working with high-profile industry on emerging technologies in a world-class research environment, and will have the opportunity to build the career profile associated with presentation at international conferences, workshops and industry meetings, and publication of the research in high impact journals.
The duration of the project is 24 months.
Please note that this advertisement is subject to final funding approval.
Appointment may be made on the IUA Postdoctoral Researcher Scale €44,347 - €50,805 based on qualification and experience. Salary placement on appointment will be in accordance with public sector pay policy.
For further information, please contact Salvatore Tedesco.
Closing date of applications is 18th October, 2024.
Application Instructions
Please make sure to attach an up to date CV/Resume AND a brief motivation letter outlining how you meet the 'Essential Criteria' for this role.
Please note that Garda vetting and/or an international police clearance check may form part of the selection process.
The University, at its discretion, may undertake to make an additional appointment(s) following the conclusion of the process.
Please note that an appointment to posts advertised will be conditional upon University approval, along with the terms of the employment control framework for the higher education sector.
At this time, Tyndall National Institute does not require the assistance of recruitment agencies.
Tyndall National Institute at University College Cork is an Equal Opportunities Employer.
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