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Greater London, England, United Kingdom
Onsite
Department: Technical
Team: Networks
Location: London, Hybrid ways of working
Position type: Permanent
What the hiring manager says
“This position is ideally suited to someone wishing to transition from a post-doctorate career in academia to applied research and software development. You are not expected to be an AI expert, but have a strong interest in applied mathematics with at least basic programming competency.
You will be working for a world-class team working on Applied Semantics. This is a relatively new team with the opportunity to play a foundational role. We are moving from a successful proof-of-concept to internal tools phase, with a view to building SaaS systems over the longer term.”
- Dr G.A.McHale, Technical Director, AI & Data Science
About the Team
We have a diverse team of researchers, PhDs in hybrid Large Language Models (LLMs), formal verification, high-performance computing and quantum physics. The team leader has 25 years of experience in AI.
About the Role
How can agencies involved in the drafting and processing of technical specifications integrate modern AI into working practices? LLMs have a remarkable capacity for probabilistic inference. However, logical inference is only supported to the extent that it is implicit in training data. Our work is focused on hybrid complementary systems which address this shortcoming. There are two aspects to this work: (a) novel algorithms that address LLM shortcomings, and (b) optimisation for on-premises hardware processing, with a key focus on cost reduction.
You will develop novel mathematical models and algorithms in support of this. You will use AI tools in your applied research. You will be expected to independently corroborate and validate these results. The employed mathematics is highly eclectic and requires an acumen for synthesis and rapid familiarization. You will be expected to create (with the aid of AI) software programs that demonstrate novel theories and demonstrate results that validate hypotheses.
About You
We are interested in candidates with a strong academic background in mathematics, with some evidence of basic programming capability. You will have expertise in either of the two fields:
Differential geometry, Riemannian geometry, geometric group theory, metric geometry and hyperbolic embedding theory, graph theory and network geometry. This work is related to the high-dimensional representation of semantic information.
Mathematical biology relating to neuronal synchrony, with exposure to the Izhikevich neuron model and Kuramoto models, for example. You will have insight into the process by which individual neurons synchronise to create coherent network oscillations. You will have knowledge of how brain areas synchronise their activity to communicate and exchange information.
This is not an exhaustive list, and if you feel that you have mathematical expertise that may well be of relevance to these topics, please feel free to apply. If you have novel suggestions for addressing the core challenges expressed earlier (outside of these fields), then your application is welcome.
Candidates who have followed a non-conventional career path are encouraged to apply; however, high numeracy skills and demonstrable programming experience are mandatory. Ideally, you will have (at a minimum) a Master’s degree or doctorate qualification from a top university.
About your skills
Key skills for this role would include Teamwork, Commercial Awareness, Innovation, Research and Analysis, along with some key technical skills encompassing Mathematical fluency, Programming and Engineering.
We strive to offer a meaningful and inclusive application experience for all candidates. Should you require any accommodations or adjustments due to a disability or for any other reason during the hiring process, please contact talent@gsma.com with your request.
Contract type
RegularWorker type
EmployeeWorking at the GSMA offers you unparalleled access to the mobile industry. We offer a chance to truly shape the direction of mobile, whatever your role. By joining the GSMA, you will be exposed to a fast-paced rapidly evolving environment, working on global solutions, genuinely fascinating and industry-changing projects and a stimulating and dynamic environment designed to enable you to flourish.
In addition to architect-designed offices and competitive compensation, our benefits include fantastic learning & development opportunities, generous holiday allowances, four additional days off for professional development and many others.
To learn more about the GSMA, visit our career site, our LinkedIn page and our Twitter page.
Being You at the GSMA
We care deeply about diversity, equity and inclusivity and aspire to be the best at it. Your well-being and work/life balance is important, so flexi-time and remote working is available to all staff. We're keen to ensure everyone is equal, represented and connected so we particularly encourage applications from all demographics. The sucess of the GSMA year on year will continue to be contributed by people from all walks of life.
GSMA Values
Our values not only drive our culture – they shape how we work and interact inside and outside our global organisation.
Passionately driven
We approach everything we do with unparalleled capability, tenacity and commitment, knowing that the challenging scale, pace and complexity of our work is what leads to its world-changing impact.
Insightful leaders
We continually develop and engage our expertise, insight and creativity so that we’re always ready to respond to the changing landscape with authority, agility and nuance.
Stronger together
We lean on each other so the industry can lean on us, embracing our diversity by actively seeking out perspectives and skill sets beyond our own, fuelling each other’s successes and constantly asking how we can help.
Underpinning our values is our collective mindset to show up purposefully as good human beings every day, in every situation. When we’re at our best – we are collaborative, considerate and compassionate to others, and we create a safe space for one another to thrive, assuming positive intent in our colleagues. And if we aren’t at our best and the pressure is on – we feel free to be ourselves but still remain curious, lean into the tough stuff and we are always respectful to others and accountable for the part we play.