National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Antenna Research and Development Engineer

Novocomms Limited
Birmingham
7 months ago
Applications closed

Antenna Research and Development Engineer (All Levels including Senior, Microwave or mmWave Experts)

Job Summary

Novocomms Limited (“NVC”) –Birmingham

NVC is looking for a full-time Antenna Research and Development Engineer (both Microwave and mmWave experts are welcome) (Ref: 2024MAE07) who are expected to work closely with RF layout, software, system design teams. This job involves design, testing, characterization, and development of new mmWave antenna solutions for consumer, commercial electronics and Access Points.


All levels of experience are welcome, from junior to senior, full-time/consultant

PhD student is also welcomed as Internship/Part-Time.


Duties & Responsibilities

·       Knowledge and understanding of microwave/mmWave antenna specifications (EIRP, EIS and CDF etc.) of consumer, commercial electronics and Access Points.

·       Maintaining the competitor analysis reports and literature review for latest microwave/mmWave antenna technologies.

·       Antenna research and development across microwave/mmWave bands for implementation into various user terminals and Access Points.

·       Conduct beam analysis and system analysis.

·       Simulate, design and implement antenna/array solutions. 

·       For mmWave antenna engineers, work closely with RF layout engineers to design and optimize interconnections between antennas and RF front-ends.

·       Work in a team environment at all phases from concept design to final products.

·       Liaise with suppliers or manufacturers. 

·       Perform antenna measurement and analysis the obtained results.

·       Complete technical reports for internal and external purposes.

·       Support clients with requirements definition, project definition, and project planning.

·       Simulate, design and implement innovative antenna solutions suitable for small form factor devices.

·       Collaborate with RF engineers and programming engineers from product concept to production.


Essential Knowledge & Skills:

·       You should have BEng/MSc (PhD preferred) degrees or equivalent experience with an emphasis in microwave or mmWave antenna arrays, or antenna-in-packages. 

·       Strong practical and theoretical background and understanding of electromagnetics and antenna/antenna array theory.

·       Proficiency in electromagnetic solvers such as CST EM Studio, HFSS, ADS, COMSOL, Icepak and Cadence Allegro, etc. 

·       Proficiency in MATLAB and Python.

·       Strong hands-on experience of antenna measurement, anechoic chamber, and RF test equipment.

·       Strong problem-solving abilities.

·       Substantial ability to effectively present ideas in a team.


Essential Attributes:

·       Excellent written and oral communication skills

·       Excellent interpersonal skills

·       Exceptionally self-motivated and directed

·       Ability to prioritize, schedule, and execute activities to efficiently accomplish tasks

·       Ability to multitask and manage more than one project at the time


Salary: Exceptional compensation package (£45k - £120k per annum depends on experience), including competitive salary, share options, pension and bonus.

Location: NVC has its current R&D headquarters in Birmingham.

Closing Date: 30/09/2024; Number of Positions: 5; Experience – 3 year minimum

To apply for this position please send your CV with a covering letter explaining how do you meet selection the criteria to:  You will only hear from us if you have been shortlisted.

About the Company

Novocomms Limited (NVC) was founded to deliver innovative new technology coming from British academia in the field of antenna design. The team have designed, developed and patented a pioneering antenna technology. The market for this highly scalable technology is the global digital wireless appliance market. NVC’s remarkable innovation has led to the creation of a significant number of patent applications, both filed and in process.



National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.