Computational Physics & Signal Processing Consultant

PA Consulting


Job Location:

Melbourn - UK

Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

The Role 

This is a hands-on technical role focused on analysis modelling and problem solving. 

You will contribute to projects involving: 

  • Computational modelling and simulation 

  • Signal processing and sensing systems 

  • Applied mathematics and optimisation 

  • Data analysis and statistical inference 

  • Algorithm development and evaluation 

  • Decision-support and analytical methods 

  • Digital engineering and model-based approaches 

  • Emerging technologies including quantum-enabled methods where appropriate 

  • Experimental analysis and model validation 

You will typically work as part of multidisciplinary teams led by experienced technical specialists taking ownership of analytical tasks and technical work packages while developing your consulting and client-facing experience. 

Responsibilities 

You will: 

  • Develop computational models simulations and analytical tools. 

  • Analyse experimental simulated and operational datasets. 

  • Apply mathematical and statistical techniques to solve complex technical challenges. 

  • Support the development and assessment of algorithms for sensing optimisation prediction and decision support. 

  • Contribute to technical reports presentations and client deliverables. 

  • Present technical findings clearly to colleagues and clients. 

  • Support technical research capability development and internal innovation activities. 

  • Work collaboratively with colleagues from physics engineering mathematics and data science backgrounds. 

  • Build expertise across multiple technical domains and application areas. 


Qualifications :

What Were Looking For 

You are likely to have a degree MSc or PhD in: 

  • Physics 

  • Applied Mathematics 

  • Engineering Physics 

  • Electronic Engineering 

  • Mathematics 

  • Computer Science with a strong quantitative focus 

  • Quantum Technologies 

  • A closely related scientific or engineering discipline 

You should have experience in several of the following: 

  • Computational physics 

  • Applied mathematics 

  • Signal processing 

  • Numerical modelling and simulation 

  • Statistical analysis 

  • Optimisation 

  • Scientific computing 

  • Data analysis 

  • Sensor fusion 

  • Machine learning for physical systems 

  • Quantum computing or quantum technologies 

Experience with Python MATLAB C Julia or similar technical computing environments would be advantageous. 

The Ideal Candidate 

You will be: 

  • Intellectually curious and motivated by solving difficult problems. 

  • Strong analytically with excellent mathematical foundations. 

  • Comfortable working with data models and simulations. 

  • Interested in understanding how complex systems behave. 

  • Able to communicate technical ideas clearly and concisely. 

  • Collaborative and eager to learn from experienced colleagues. 

  • Adaptable and comfortable working across different sectors and technical domains. 

  • Pragmatic creative and willing to tackle unfamiliar challenges. 

We are less concerned about your sector background than your ability to apply scientific thinking learn quickly and deliver high-quality analytical work. 

What Youll Gain 

This role offers the opportunity to: 

  • Work alongside experienced physicists mathematicians and engineers. 

  • Apply advanced science to complex real-world problems. 

  • Build expertise in modelling simulation sensing and advanced analytics. 

  • Gain exposure to a diverse range of sectors and technologies. 

  • Develop both technical depth and consulting experience. 

  • Grow into a future technical leadership role within a rapidly developing capability. 

If you enjoy solving difficult problems working with talented technical teams and applying science to meaningful challenges wed love to hear from you. 


Additional Information :

Life At PA encompasses our peoples experience at PA. Its about how we enrich peoples working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. 

Our purpose guides how we work with our clients and our teams and support our communities to deliver insight and impact solving the worlds most complex challenges. Were focused on building a workplace that values human difference and diverse mindsets and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. 

Find out more about Life at PA here. 

We are dedicated to supporting the physical emotional social and financial well-being of our people. Check out some of our extensive benefits: 

  • Health and lifestyle perks accompanying private healthcare for you and your family 
  • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days 
  • Generous company pension scheme 
  • Opportunity to get involved with community and charity-based initiatives 
  • Annual performance-based bonus 
  • PA share ownership 
  • Tax efficient benefits (cycle to work give as you earn) 

Were committed to advancing equality. We recruit retain reward and develop our people based solely on their abilities and contributions and without reference to their age background disability genetic information parental or family status religion or belief race ethnicity nationality sex sexual orientation gender identity (or expression) political belief veteran status any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. 

Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process at either application or interview please contact us on  

#LI-NF1

 


Remote Work :

No


Employment Type :

Full-time

The Role This is a hands-on technical role focused on analysis modelling and problem solving. You will contribute to projects involving: Computational modelling and simulation Signal processing and sensing systems Applied mathematics and optimisation Data analysis and statistical inference Algorithm...

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