Embedded Systems & Instrumentation Engineer — KTP Associate

Manchester Metropolitan University; Manchester; On-site; GBP 37,000 - 46,000; Full time

Benefits offered by this job

£2,000 per year for personal training

Reduced-cost opportunity to register a

Permanent position possibility: 70% of

Job summary

Manchester Metropolitan University is offering a full-time 32-month Knowledge Transfer Partnership (KTP) Associate position in embedded systems engineering for the water sector. You will work with an academic team, based at Vernon Morris in Deeside, and contribute to product innovation.

Essential qualifications include a 2:1 in Electronic Engineering with likely MSc/PhD beneficial, and experience in embedded circuits, PCB design, and data analytics (Power BI).

Qualifications

• Holds a 2:1 in Electronic Engineering or equivalent.
• Higher qualification (MSc/PhD) in Electronics is beneficial.
• Embedded circuit systems, PCB architecture, battery systems familiarity.
• Data science experience with data management and visuals (Power BI).
• Durable product design for industrial apps with ergonomic focus.
• Ability to work independently and with a team on complex tech issues.

Responsibilities

• Develop embedded systems for water sector product innovation.
• Collaborate with academic team and host company on project goals.
• Lead technically complex aspects of the KTP contract.
• Disseminate results and document progress with stakeholders.

Skills

Embedded systems

Multi-sensor tech

Data science & analytics

Industrial product design

Independent & collaborative work

Education

Bachelor’s in Electronic Engineering (2:1)

MSc/PhD in Electronics beneficial

Tools

MATLAB

Power BI

Job description

Manchester Metropolitan University is offering a full-time 32-month Knowledge Transfer Partnership (KTP) Associate position in embedded systems engineering for the water sector. You will work with an academic team, based at Vernon Morris in Deeside, and contribute to product innovation.

Essential qualifications include a 2:1 in Electronic Engineering with likely MSc/PhD beneficial, and experience in embedded circuits, PCB design, and data analytics (Power BI).