KTP Associate (Embedded Systems Engineer)

The Associate will be employed on a Knowledge Transfer Partnership (KTP) project between WeCare4Air Ltd and the University of Warwick (School of Engineering, BioSensors Lab).

The Associate will lead the design and implementation of a next-generation architecture for a reference-grade air quality analyser. Key technical responsibilities will include development of embedded/electronic systems, embedded/edge software, implementation of sensor fusion approaches, and deployment of AI methods to support, for example, predictive diagnostics, automated quality assurance.

Working primarily within WeCare4Air, the Associate will collaborate closely with engineering, product and customer-facing teams to ensure the solution is fit for purpose, deployable and supportable. Alongside core R&D delivery, they will contribute to requirements capture, test planning, verification/validation, and the creation of technical documentation and knowledge resources needed to embed the capability within the business.

The Associate will also maintain access to the BioSensors Lab at the University of Warwick, benefiting from academic supervision, access to research expertise, and support in evaluation methodologies and dissemination. The role is collaborative and will require effective engagement with a range of stakeholders, moving between research and commercial needs, managing milestones, and ensuring timely delivery of project outcomes.

This post is part of the KTP initiative funded by Innovate UK. Knowledge Transfer Partnerships is a UK-wide programme that has been helping businesses for the past 50 years to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK Knowledge Base. It is an exciting opportunity to work across industry and academia, applying cutting-edge research to deliver tangible impact.

The project will develop a new generation of innovative tools for environmental monitoring, designed for integration with Smart Cities, Smart Buildings and Smart Transport. The overarching aim is to deliver, real-time local air quality intelligence that supports improved public health and better operational decision-making. The system will combine measurement performance with an AI-enabled platform for long-term deployments with improved reliability.

The successful candidate will have a strong academic and technical foundation, complemented by excellent interpersonal and project management skills. You will hold a good honours degree (or equivalent experience) in Electronic Engineering, Computer Science, Embedded Systems or a closely related discipline, plus a postgraduate qualification (MSc/PhD) or industrial experience in embedded systems, AI/machine learning, digital signal processing or a relevant area.

You will be technically confident delivering end-to-end solutions spanning electronics, embedded/edge software, microcontrollers and connected systems. Essential skills include electronics knowledge, strong programming skills for data handling and model development/testing, and experience of software–hardware integration (sensor/instrument interfaces and system-level debugging, with knowledge of electronics). You should be comfortable working with real-time constraints (e.g., RTOS concepts), implementing data acquisition and processing pipelines, and applying signal processing methods to time-series sensor data. Familiarity with deploying AI/ML models (e.g., anomaly detection, drift detection, regression/classification) in practical setting. Knowledge of digital communications, device connectivity and the fundamentals of secure connected products (e.g., encrypted communications, authentication, update concepts) is also desirable.

In addition, it is desirable if your experience includes contributing to product development of field-deployed instrumentation, low-power or long-term unattended system design. Exposure to air quality monitoring and gas sensing (including calibration, cross-sensitivities and environmental compensation) would be advantageous but is not essential.

You will be self-motivated, adaptable and able to work effectively across industrial and academic environments, communicating technical ideas clearly and translating requirements into validated, deployable solutions.

Due to thirdhand smoke causing pollutants to linger on surfaces, skin, hair and clothing which could interfere with data quality, WeCare4Air are strictly a non-smoking company. Candidates must be non-smokers (including e-cigarettes and vaping).