Researcher

Employer: Invenia Labs Limited

Job Title: Researcher

Location: Cambridge, UK

Salary: Between £40,000 and £60,000 basic salary, based on skills, qualifications and experience held.

Closing date: 11 May 2018

Due to anticipated growth, this role will be open to a few successful candidates.
 
We build novel machine learning techniques, focusing on reducing pollution by optimising the flow of energy in the world’s electricity grids. Our office is located in Cambridge, UK. We are seeking exceptional and experienced individuals capable of fundamental work in research, development, and engineering.

The successful candidate(s) for this role should have a strong set of skills in research and engineering, and good verbal, written, and interpersonal communication skills.  We look for expertise in one or more of: probability theory, statistics, machine learning, data science, algorithmic/probabilistic modelling, and optimisation.  Strong skills in mathematics and computer programming are helpful. A typical candidate might have a Ph.D. or Masters degree in machine learning, computer science, statistics, mathematics, physics, engineering, or a related field.

Role Responsibilities
 
•    Designing, implementing, and improving probabilistic models for predictions and decision-making.
•    Creating new approaches, thinking outside the box, and challenging the state of the art.
•    Developing and testing hypotheses based on data, scientific theory, and team input.
•    Communicating results and in-progress work to team members.
•    Developing well-organised and well-documented code.
•    Ability to understand, test, extend, and improve our existing systems.
•    Keeping an interest in the academic communities and literature of relevant fields.
•    Collaborating with others on projects and ideas.
 
Required Knowledge, Skills and Experience
 
•    PhD or Masters (or equivalent degree) in Machine Learning, Computer Science, Physics, Electrical Engineering, Power Systems, Statistics, or Mathematics.
•    Experience in academia or industry.
•    Ability to read, understand, and implement techniques from academic papers.
•    Ability to understand and communicate ideas and concepts clearly.
•    Intellectual flexibility, constructive critical thinking, openness to new approaches, and a hunger for new ideas.
•    A passion for excellence and quality.
•    Excellent coding skills, ideally in Python, Matlab, or Julia.
•    Familiarity with revision control systems, ideally git. 
•    Familiarity with Unix-like system environments (such as Linux and/or MacOSX)

Desired (but optional) Bonus Skills

•    Bayesian inference, probabilistic modelling, or statistical inference. 
•    Gaussian processes.
•    Databases and SQL.
•    Familiarity with additional programming languages.
•    Familiarity with numerical computing and numerical stability.
•    TeX / LaTeX for document publishing.
•    Team leadership and project management skills.
 
Please apply with your detailed CV by the closing date.