Placement Title Company Business Location
Drone Detection using RF Analysis To enhance our commercial offerings, we are looking to further develop our RF based drone detection system using Software Defined Radios.

The challenge for all RF based drone detection systems is the high incidence of false positives. To address this, we propose to use machine learning techniques to train our system to positively identify drones.

Our RF based drone detection system is called AeroSentry which is currently at MVP. We are looking to develop this system further.

This project aims to develop a capability of Detecting, Identifying, Tracking and Defeating unmanned vehicles (primarily drones and their controllers) using USRP and presenting that information to end users via a graphical user interface (GUI).

The unique innovation sought in this project relates to:
  • Use of USRP to complete RF signal analysis and deep learning activities to detect and identify the RF signatures of drones and their controllers.
  • Using Angle of Arrival (AOA) to identify the bearing (and if feasible) the range, to the detected RF signal.
  • Using Time Difference on Arrival (TDOA) to geo-locate the drone and its controller and provide that information via a secure platform
  • Develop a distributed network of sensors to detect, identify and track drones in real time.

The sensors will report to a local or cloud-based analytics server.

We are looking to work with a talented postgraduate to help us develop AeroSentry further. The successful candidate should have excellent grasp of signal analysis techniques and the use of open source software platforms like GNURadio.

Key Areas of Work & Outcomes of Placement:

We have a basic RF drone detection capability which needs developing to improve detection confidence levels and reduce false alarm rates. In addition to this the key outcome for the project is to develop the ability to detect the drone range and bearing from the sensor using DOA/AOA techniques. We are currently using the Ettus 310 which is a dual transceiver USRP which has the ability to complete basic AOA techniques using its synchronised receivers.

Skills required:

The successful candidate will be a motivated individual ideally in possession of practical experience in deep learning & signal analysis with or studying for a PhD/MSc degree or equivalent in these fields. Programming skills in Python, C/C++ and relevant packages are highly desirable along with:
  • Outstanding knowledge of digital signal processing, modulation methods and frequency analysis.
  • Ability to deliver AOA and TDOA using SDR on pre-identified signals.
  • Ability to use SDR to conduct RF signal analysis to identify drone RF signals.
  • Familiar with GNURadio and similar open-source applications.
  • Excellent programming skills in one or more of the following languages: Python, C/C++, Java.
  • FPGA Programming skills.
  • Ability to develop and manage cloud-based servers (Django).
  • Very good knowledge of parallel computing and Machine Learning.
  • High levels of commercial awareness to understand the requirements for MVP (Minimum Viable Product).
  • Strong planning and leadership skills.
  • Excellent programme delivery skills.
  • Ability to deliver against tight timelines.

Successful candidates will gain practical and demonstrable experience in the following key areas:
  • Working in a high-tech start-up
  • Cutting edge drone detection application.
  • Machine learning
  • System integration
  • Commercial product development
  • Systems deployment

*Hourly rate is 9.24 pounds plus 1.12 pounds holiday pay
Digital Marketing Project We are an established training and coaching provider in the East Midlands and have a portfolio of clients from individuals through to Corporates.

We are constantly reviewing our marketing and promotional strategies and have identified a requirement for a digital marketing strategy and are looking to work with a talented postgraduate . This is an exciting opportunity for a Digital Marketer to take responsibility for delivering a full digital marketing strategy and to work with the business managers to implement.

You will take the lead on implementing, measuring, and reviewing the whole marketing strategy for an innovative product in the resilience and wellbeing sector.

Key Areas of Work & Outcomes of Placement:

Implementation and measurement of a brand-new marketing strategy to launch new products on the market and build up brand recognition.

Key Outcomes:
  • An established marketing strategy taking the product from launch to brand-leader
  • Creation of a strong social media profile
  • Creation of a bank of marketing collateral
  • Skills required:

    • Excellent knowledge and experience of digital marketing (social media, Google analytics, Facebook advertising, etc.)
    • Knowledge and experience of SEO
    • Excellent communication skills and an ability to write good-quality copy
    • Self-starter, with good time management
    • Ability to use own initiative to shape, monitor and develop a first-class marketing strategy
    • Some knowledge of video-clip editing, or willingness to learn

    • Experience of running marketing campaigns
    • Experience of creating videos (e.g. for a YouTube channel)
    • An interest in personal development and well-being

    Successful candidates will gain practical and demonstrable experience in the following key areas:
    • Creating a digital marketing strategy
    • Monitoring and improving digital marketing strategies
    • Working to deadlines
    • Project Management
    • Time Management
    • Insightful knowledge of SEO implementation

    Successful candidates will also have the opportunity to develop the following key skills:
    Electronic Engineering Project We are a small but dynamic electrical company. Our latest project is focused on using solar power to add a more environmental solution to our product range. We have limited expertise within the company, particularly in this area, and a postgraduate with knowledge and experience of project design/using solar energy would greatly benefit the company in progressing such a product.

    A suitable candidate would be able to work within a small team with good interpersonal and language skills as well as working independently when required.

    Key Areas of Work & Outcomes of Placement:

    It is hoped that at the end of the placement, a working prototype would be produced, together with appropriate testing and specification documentation. The successful candidate would have gained experience of working with a company involved in the electronics industry and dealing with product development.

    The ability to work within a team is essential is most areas of industry and this placement provides an opportunity to work with a small family of people that are continually trying to improve all aspects of the business.

    Skills required:
    • Reading and generation of circuit diagrams
    • Understanding of basic circuit board design and layout
    • Knowledge of electronics industry standards and current technologies
    • Ability to work in a small team
    • Good interpersonal and language skills
    • Able to work independently as and when required

    Successful candidates will gain practical and demonstrable experience in the following key areas:
  • Circuit design
  • Small solar power product development
  • Prototyping
  • *Hourly rate is 9.24 pounds plus 1.12 pounds holiday pay