Luxembourg - Esch-sur-Alzette•Posted: Jul 18•Deadline: Aug 17
WHO WE ARE
Luxembourg National Data Service (LNDS) is a brand of PNED G.I.E. an organisation created by the Luxembourg Government, to
implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of
data, for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS
service portfolio includes know-how, capabilities, tools, infrastructure, and data services. Through efficient & responsible use
of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal
transitions.
www.lnds.lu | LNDS on LinkedIn
PURPOSE OF THE JOB / PROJECT
LNDS participates in several European projects where we support the secondary use of health/biomedical data in the context of
scientific research, Artificial Intelligence (AI) development, and other innovative activities. Our aim is to support our partners
who pursue secondary use of data in health/biomedical projects in a manner that is lawful, compliant, and ethically sound. As part
of these efforts, we routinely work with external stakeholders such as clinical researchers, epidemiologists, data scientists,
(health) data infrastructure providers, as well as policy-makers, regulators, legislators and other legal experts. Our aim is to
advise and guide these stakeholders in the implementation of data governance frameworks and data infrastructures for secondary use
of protected or sensitive data, with a particular focus on health/biomedical data.
You will be part of an interdisciplinary team working on the ethical, legal, and social implications (ELSI) of secondary use of
health/biomedical data. You will support, as an ELSI Specialist, the participation of LNDS in the European projects that leverage
health and biomedical data, working closely with the LNDS team as well as with European stakeholders and project participants in
the various working groups.
WHAT YOU WILL DO
* Analysis and interpretation of legal and/or ethical requirements in secondary use of health-related data, based on the
legislation, prevailing legal and ethical norms, existing guidelines and, where applicable, case law.
* Investigating the impact and compliance implications of the AI Act on the development of AI systems for healthcare and public
health applications
* When assisting external partners with their ethico-legal compliance efforts, you will provide analyses of planned operations
and workflows as well as provide support related to data protection impact assessments (DPIAs) and other privacy/impact
assessments.
* Development of policies, guidelines, and technical requirements frameworks to enable solutions for ethico-legal compliance when
pursuing secondary use of health datasets.
* Development of, or contribution to practical tools, templates, guidance, training and other instruments for ELSI compliance.
* Engagement in European working groups and consortia, including preparation of content for periodic meetings, contribution to
drafting or reviewing formal documents or deliverables, writing of meeting minutes, and interaction with the working group
members.
WHO YOU ARE
* A master’s or PhD degree with several years of work experience at the intersection of:
1. Data protection, data governance, legal and institutional compliance in secondary use of data; and
2. healthcare, biological sciences, bioinformatics, genomics, or a related biomedical field
* Candidates with the following background are particularly encouraged to apply:
1. Legal professionals, compliance specialists or legal scholars with extensive exposure to the healthcare and/or biomedical
research domains
2. Biomedical researchers, bioinformaticians, or (health) data scientists with considerable experience in assisting with legal
or institutional compliance matters
3. Data stewards, data managers, and data governance specialists active in the domain of healthcare and/or biomedical research
4. Bioethicists and institutional ethics board members knowledgeable about the applicable regulations
* Number of years of relevant experience: 5 to 10 years (years spent to acquire a PhD degree count as work experience).
* Familiarity with the key European legal and regulatory frameworks, namely: the GDPR, the AI Act, and the EHDS Regulation. At a
minimum, demonstrable expertise in at least one of these legal frameworks is required, coupled with a good understanding of the
remaining two.
* Familiarity with any other national/European legal frameworks or institutional ethics procedures around secondary use of health
and biomedical data is a strong plus.
* Experience with data protection by design and default workflows, data protection/privacy risk assessments, and other related
assessments
* Proficient in English.
* You are enthusiastic about the legal aspects of data research or the conceptual and/or technical implementation of data
protection principles for workflows.
* Good communication skills (ability to listen, understand and convey your ideas) and the ability to articulate clearly the ELSI
needs to a diverse audience (biomedical scientists, legal experts, policy professionals, etc)
* Excellent writing skills. Experience in writing academic or policy papers focused on the ELSI of health/biomedical data is a
strong plus.
* Creative, solution-oriented mindset with strong analytical skills.
* You have critical thinking skills; you are adaptable and flexible.
* You have cultural intelligence and diversity consciousness.
Bristol•Posted: Jul 14•Deadline: Aug 16
ABOUT GRAPHCORE
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep
experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of
the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI
ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing
together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on
the company, our products and the future of artificial intelligence.
JOB SUMMARY
As a Research Scientist at Graphcore, you will advance AI research at the intersection of visual generative modelling, multimodal
learning, world models and hardware-aware machine learning. You will explore new model architectures, training methods and
deployment strategies with applications in embodied AI, robotics and autonomous systems. Example research directions could include
efficient video generation, diffusion and flow-based models, multimodal representation learning, world models for agents, or
analysis of how emerging generative AI workloads influence future AI accelerators.
This role sits at the interface between frontier model research and AI hardware. Specialised hardware has been a key driver of
AI progress over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will
continue to be critical to advancing this field. We are looking for researchers and engineers with the theoretical depth,
practical judgement and implementation skills to turn ambitious ideas into rigorous experiments, publications and technical
insights that influence the future of AI compute.
THE TEAM
Graphcore Research participates in both fundamental and applied research to characterise the computational requirements of machine
intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML
conferences, including NeurIPS, ICML and ICLR, as well as specialist workshops, and collaborate with other research teams
and organisations across the world.
We pride ourselves on being a supportive and collaborative team, where we organise around individual research interests and
solve problems together. Our work spans efficient compute, model scaling, distributed training and inference, and AI models for
multiple modalities and applications, including sequence- and graph-based data. We’re based across London, Cambridge and Bristol,
with projects and discussions that involve all our locations.
Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re
excited to work at the cutting edge of AI and want to help shape the hardware and software systems that drive the future of AI
compute, we’d love to hear from you!
RESPONSIBILITIES AND DUTIES
* Develop and evaluate new ideas in visual generative AI, multimodal modelling and world models, from initial hypothesis through
experiment design, implementation, analysis and publication.
* Prepare, submit and present your work to AI conferences and workshops.
* Work with researchers, software engineers and silicon teams to understand how emerging AI workloads can shape, and be shaped
by, future Graphcore hardware and software systems.
ABOUT YOU:
Essential:
* Master’s, PhD or equivalent experience in a technical discipline (e.g., Mathematics, Statistics, Computer Science, Physics,
Chemistry, Biomedical Engineering).
* Experience in visual generative AI, visual understanding or world models.
* Strong Python programming skills using a modern deep learning framework, e.g. PyTorch or JAX.
* Familiarity with deep learning fundamentals, including model architectures, optimisation, evaluation and scaling.
* Ability to design, execute, analyse and clearly communicate ML experiments.
* Mathematical foundations to support the above, including calculus, probability theory and linear algebra.
* Evidence of research ability, such as conference or workshop submissions, publications, technical reports, open-source projects
or impactful industrial research.
Desirable:
* Experience with multimodal reasoning or generation, action-conditioned models, embodied AI, robotics or autonomous systems.
* Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
* Practical familiarity with hardware considerations for deep learning, such as parallelism, memory hierarchy, vector and matrix
engines, data movement, bandwidth limits and performance bottlenecks.
* Practical familiarity with deep learning software stacks, such as graph compilation, kernel fusion, XLA/ATen operations,
streams and asynchronous execution.
BENEFITS
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance
and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental
leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a
range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different
backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for
everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We
can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa
sponsorship or support for visa applications
London•Posted: Jul 14•Deadline: Aug 16
ABOUT GRAPHCORE
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep
experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of
the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI
ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing
together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on
the company, our products and the future of artificial intelligence.
JOB SUMMARY
As a Research Scientist at Graphcore, you will advance AI research at the intersection of visual generative modelling, multimodal
learning, world models and hardware-aware machine learning. You will explore new model architectures, training methods and
deployment strategies with applications in embodied AI, robotics and autonomous systems. Example research directions could include
efficient video generation, diffusion and flow-based models, multimodal representation learning, world models for agents, or
analysis of how emerging generative AI workloads influence future AI accelerators.
This role sits at the interface between frontier model research and AI hardware. Specialised hardware has been a key driver of
AI progress over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will
continue to be critical to advancing this field. We are looking for researchers and engineers with the theoretical depth,
practical judgement and implementation skills to turn ambitious ideas into rigorous experiments, publications and technical
insights that influence the future of AI compute.
THE TEAM
Graphcore Research participates in both fundamental and applied research to characterise the computational requirements of machine
intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML
conferences, including NeurIPS, ICML and ICLR, as well as specialist workshops, and collaborate with other research teams
and organisations across the world.
We pride ourselves on being a supportive and collaborative team, where we organise around individual research interests and
solve problems together. Our work spans efficient compute, model scaling, distributed training and inference, and AI models for
multiple modalities and applications, including sequence- and graph-based data. We’re based across London, Cambridge and Bristol,
with projects and discussions that involve all our locations.
Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re
excited to work at the cutting edge of AI and want to help shape the hardware and software systems that drive the future of AI
compute, we’d love to hear from you!
RESPONSIBILITIES AND DUTIES
* Develop and evaluate new ideas in visual generative AI, multimodal modelling and world models, from initial hypothesis through
experiment design, implementation, analysis and publication.
* Prepare, submit and present your work to AI conferences and workshops.
* Work with researchers, software engineers and silicon teams to understand how emerging AI workloads can shape, and be shaped
by, future Graphcore hardware and software systems.
ABOUT YOU:
Essential:
* Master’s, PhD or equivalent experience in a technical discipline (e.g., Mathematics, Statistics, Computer Science, Physics,
Chemistry, Biomedical Engineering).
* Experience in visual generative AI, visual understanding or world models.
* Strong Python programming skills using a modern deep learning framework, e.g. PyTorch or JAX.
* Familiarity with deep learning fundamentals, including model architectures, optimisation, evaluation and scaling.
* Ability to design, execute, analyse and clearly communicate ML experiments.
* Mathematical foundations to support the above, including calculus, probability theory and linear algebra.
* Evidence of research ability, such as conference or workshop submissions, publications, technical reports, open-source projects
or impactful industrial research.
Desirable:
* Experience with multimodal reasoning or generation, action-conditioned models, embodied AI, robotics or autonomous systems.
* Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
* Practical familiarity with hardware considerations for deep learning, such as parallelism, memory hierarchy, vector and matrix
engines, data movement, bandwidth limits and performance bottlenecks.
* Practical familiarity with deep learning software stacks, such as graph compilation, kernel fusion, XLA/ATen operations,
streams and asynchronous execution.
BENEFITS
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance
and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental
leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a
range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different
backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for
everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We
can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa
sponsorship or support for visa applications
