Postdoctoral Researcher in Acoustic Gas Sensors for detection of greenhouse gas emissions

Postdoctoral Researcher in Acoustic Gas Sensors for detection of greenhouse gas emissions
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), 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. Tyndall is home to a research community of 600 people of over 50 nationalities.

Within Tyndall’s Micro Nano Systems Center we have created a strategic research cluster entitle “Sustainable Agri-Food and the Environment” (SAFE) to target development of key problem statements within Agri-Food production.  Tyndall is now focusing its research in front end gas sensor development.  Tyndall recently was awarded the SFI CONNECT project “SafeGas” to develop acoustic sensor for greenhouse gas, methane and nitrous oxide detection.  Agriculture-based greenhouse gas emissions are contributing significantly to global warming.  Detection of these “in Operando” is difficult and requires a new type of easy-to-use sensor that can be deployed in the field.

Appointment may be made on the Postdoctoral Scale € 44,847- € 51,313 pa. In all instances the successful appointment will be at the first point of the scale.

Informal enquiries can be made in confidence to Dr. Veda Sandeep Nagaraja.
Closing date for application is 11th November 2024 before noon.

PhD Position

Research Topic: Sustainable Computing at Edge-Cloud Continuum

Our interdisciplinary study addresses the rising data processing demands in multi-cloud and edge computing. Dive into computer networks, distributed systems, and machine learning as we optimize resource utilization and workloads across edge servers, multi-cloud infrastructures, and IoT devices. Achieve energy efficiency, reduced carbon footprint, and enhanced sustainability by leveraging dynamic workload allocation, energy-aware scheduling, and resource management.

Supervisor: Dr. Hadi Tabatabaee Malazi (UCD School of Computer Science)

Close Date: Until the position is filled.