**Job Description**
The Research Fellow will join the dynamic Smart Sensing Lab, led by Professor Eiman Kanjo, to contribute to an EPSRC-funded “ProSensing” project focused on low-power, high-speed, adaptable processing-in-sensing capability. The role involves developing tinyML technologies and collaborating with Defence and Security Stakeholders, the Edge AI foundation, and various industrial partners.
**Skills & Abilities**
� Strong coding skills with background in machine learning
� Extensive experience in building Neural Network models
� Solid foundation in mathematics
� Technical proficiency in Python, C, or C++
� Familiarity with Tensorflow Lite/Micro, Pytorch
� Experience in Embedded system
� Working knowledge of Android/Flutter development (advantageous)
**Experience**
Other:
� Substantial experience in Persuasive and Edge Computing or related areas
� Extensive experience in building Neural Network models
� Experience in Embedded system is essential
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