Emissions Algorithms Engineer - Data Analyst (KTP Associate)

QLM Technology
Exeter, UK
3 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£33,951.0 - £38,784.0
Working hours
Regular working hours
Job source

Tech stack

Computer-Aided Design Artificial Intelligence Data Analysis Artificial Neural Networks Computational Fluid Dynamics Computer Programming Linux GIS Applications Python (Programming Language) MATLAB Machine Learning NumPy
+9 more
SciPy Software Engineering Spatial Data Infrastructures KTP Pandas Matplotlib Scikit Learn Plotly Software Version Control

Job description

Environment, Science and Economy

An exciting opportunity has become available to work on a 2-year Knowledge Transfer Partnership (KTP) between the University of Exeter and QLM Technology Ltd. The KTP will develop novel AI-enabled modelling capabilities to enable the quantification and location of methane emission sources from remote Lidar measurement. The successful candidate will be employed by the University of Exeter and will spend the majority of their time working at QLM in Bristol, with occasional visits to the University of Exeter. you will be expected to work fulltime. This is a hands-on role situated to someone curious about physical phenomena, passionate about environmental impact, and eager to solve complex real-world problems using data.

Requirements

QLM Technology develops cutting-edge quantum laser imaging solutions for greenhouse gas detection and monitoring. The company’s mission is to provide accurate, scalable, and cost-effective tools to help industries measure, manage, and mitigate methane emissions-enabling a cleaner, more sustainable future. We are growing our data and algorithms capability and are seeking a motivated Algorithms Engineer / Data Analyst to join our team in Bristol. More information about QLM Technology Ltd can be found at: https://qlmtec.com, * Advanced degree (Masters minimum) in a technical subject, e.g. Mechanical Engineering, Physics, Applied Mathematics or equivalent relevant experience or a closely related field.

  • Excellent communication skills (both written and oral) with ability to communicate complex and conceptual ideas to a range of people.
  • Good communication skills, especially in explaining technical concepts to mixed audiences.
  • Computational Fluid Dynamics and other computer-aided design and analysis tools
  • Experience in machine learning, AI and neural networks, MatLab, Python and Linux.
  • Proficiency in Python, including data science libraries (NumPy, SciPy, Pandas, scikit-learn, matplotlib/Plotly)
  • Skilled in software programming for modelling, instrument control, data analysis, and process
  • Interest and ability to learn the underlying physics of gas emissions, atmospheric phenomena, and sensing systems
  • Understanding of scientific software development practices (version control, testing, documentation).
  • Experience with spatial data, GIS tools, or atmospheric modelling is a plus.

Benefits & conditions

About The Role This full-time post is available on a fixed term basis for 24 months.

The starting salary will from £33.951 to £38,784 on Grade E, depending on knowledge, skills and experience., * A £4,000 training budget with 10% of your working time dedicated to personal development.

  • A unique and challenging career opportunity, working with both industry and academia.
  • For the right candidate there will be the opportunity to create an impactful and rewarding career with QLM after this project is complete.
  • The successful applicant will develop a wide range of industrial and research skills for their future career, utilising the skills and knowledge of company supervisors, as well as benefitting from continuous academic support.
  • The opportunity to manage and lead on a project early on in your career.
  • Specific KTP residential training.
  • The possibility to write academic papers and present at conferences.
  • A chance to contribute directly to climate-impacting technology.
  • Work with a multidisciplinary team of physicists, software engineers, and field specialists.
  • Learning and development opportunities in advanced sensing, data science, and environmental analytics.

About the company

About Us Transform Your Career and Help Shape a Greener, Healthier, and Fairer Future We are committed to understanding different cultures and perspectives, supporting diverse leadership, and striving for social justice. We encourage applications from all groups underrepresented in our community, including racially minoritised individuals and those with disabilities. Our inclusive, merit-based recruitment processes seek to embrace a diverse set of experiences to ensure colleagues feel supported equitably. With over 30,000 students and 7,000 staff from 150 countries, we foster a culture where everyone can thrive. You can read more about our current accreditations and commitment to Equality, Diversity and Inclusion here, including our commitment to the Armed Forces Covenant. Why our colleagues love working here

  • Flexible working opportunities and leading parental leave initiatives
  • Generous annual leave (39-41 days including bank holidays)
  • Competitive pension contributions
  • A genuine dedication to supporting the health and wellbeing of all colleagues - see initiatives here
  • Sustainability and the environment being at the heart of what we do
  • A £4,000 training budget with 10% of your working time dedicated to personal development
  • A unique and challenging career opportunity, working with both industry and academia
  • You will develop a wide range of industrial and research skills for their future career, utilising the skills and knowledge of company supervisors, as well as benefitting from continuous academic support
  • The opportunity to manage and lead on a project early on in your career
  • Specific KTP residential training
  • The possibility to write academic papers and present at conferences

How we can help If you’re considering applying and need support to do so, please get in touch with us at . You can request reasonable adjustments within your application or by contacting us. You can also choose to be considered under our Disability Confident Scheme and find out here how this is managed during our recruitment and onboarding process.

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