A Software Security Researcher ideally with a PhD in Mathematics or Computing coupled with strong programming skills (Go, Rust and/or Solidity with some C) will join an innovative start-up combining high-end security, blockchain and program analysis research.
You'll undertake Security Research as part of a team of experts in Compilers, Cryptography, Mathematics and Finance, bringing an appreciation (or personal interest in) real-world attacker mentality in order to reduce risk and fortify code.
Are you interested in Cryptography and Software Security and want to use your Mathematical and Programming excellence to fortify code essential to the finance industry?
FPSG are pleased to offer a number of contract opportunities for User Researchers at all levels for roles working on UK Based projects, with SC Clearance.
It is helpful if you already have SC Clearance, however, if you do not currently hold this, it can be obtained through the process if you meet the SC Clearable criteria.
If unsure, please get in touch and we can support you with your queries on this.
Harnham is partnering with a leading German finance brand who are committed to enhancing their user experiences through research, design and data analysis!
The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for devices and services.The prospective candidate will have the opportunity to be part of building next generation mobile devices The candidate will contribute to software development and research of new functionalities or enhancement current pipelines on flagship mobile devices.
The AI team at is looking for exceptional research software engineers to join the growing team.
We encourage enthusiastic researchers and engineers with a strong academic background and expertise in development of audio/speech related applications to apply.
We are seeking an experienced Proteomics Research Scientist to join a world renowned research instituteproviding proteomic expertise and infrastructure for in-depth protein analysis (identification and quantification) of complex samples employing a wide range of proteomic methods.
You will be responsible for developing & optimizing these LC-MS biomarker methods, analysing complex data sets and contributing towards the continuous improvement of existing assays and taking a leading role in the development of novel assays to target new disease areas.
Candidates with the following experience will be considered for this role:
PhD in Mathematics, Computer Science, Engineering, Physics or related Track record of coming up with new ideas, as demonstrated by projects or first author publications conferences Software skills spanning from conceptual stage (like Python, R, MATLAB) to deployment stage (feature release, version control)
JOB AD
As a Deep Learning Researcher in our team, you will collaborate with the Cambridge Researchers and with worldwide colleagues, stay up and above the state of the art, initiate with novel ideas, and develop them into algorithms and applications that make the real difference in everyday devices.
You will also push your contribution by publishing at top-tier conferences, such as NeurIPS, ICML, ICLR, CVPR, ACL, ICRA, ACM.