About the Opportunity
The Role
Northeastern University London invites applications for two Post-Doctoral Research Associates positions in Reliable AI for Engineering to work with Professor Osvaldo Simeone. The successful candidates will work on the development of a theoretically grounded framework for statistically reliable AI, with applications to engineering. The research will focus on the design of formal reliability guarantees for black-box AI models operating under highly non-deterministic and context-dependent conditions, such as those arising in next-generation communication networks.
The candidate will contribute to topics including:
* The offline calibration of pre-trained AI models through hyperparameter optimization and conformal prediction methods;
* The online monitoring of model reliability and performance indicators in dynamically changing environments;
* The integration of synthetic data from digital twins using prediction-powered inference to enhance reliability assessment;
* The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis testing, and online convex optimization.
This work is part of the ERC Advanced Grant project CONTRACT, which seeks to redefine the role of AI in wireless networks—from a potential reliability concern to a verifiable and dependable system component.
Core duties include:
* Conducting independent and collaborative research in statistically reliable AI, with a focus on conformal prediction, reliable inference, and learning with synthetic or simulated data.
* Developing and analyzing new algorithms for AI calibration, run-time reliability monitoring, and adaptive decision-making in wireless environments.
* Collaborating closely with project partners across academia and industry, contributing to cross-disciplinary research spanning AI, statistics, and wireless communications.
* Publishing results in top-tier journals and conferences in machine learning, statistics, and communications.
* Presenting research findings at project meetings, workshops, and international conferences.
* Supporting the supervision of PhD students and undergraduate research assistants working within the CONTRACT project.
* Contributing to the writing of project deliverables, reports, and funding documentation.
We particularly encourage applications from those belonging to groups underrepresented in UK higher education.
About the Faculty
The Institute for the Wireless Internet of Things (WIoT) at Northeastern University London focuses on advancing next-generation wireless systems and intelligent connectivity. Building on WIoT's global research leadership, the London campus brings together expertise in AI, neuromorphic computing, and wireless communications to explore transformative technologies for 6G and beyond. The institute fosters close collaboration with industry and academia, providing an interdisciplinary environment for innovation, hardware prototyping, and impactful real-world research.
The Faculty of Computing, Mathematics, Engineering, and Natural Sciences (CoMENS) is undergoing significant growth at Northeastern University London. It is home to four interdisciplinary undergraduate dual-degree (in UK and US) programmes in the areas of Data Science, Data Science and Politics, Computer Science and Business, and Computer Science and Philosophy; four postgraduate programs in the areas of AI Ethics, Data Science, Computer Science, and Technology Leadership; and five degree apprenticeship programmes in the areas of AI, Data Science, Digital and Technology Solutions, and Biosciences.
The faculty plays a major part in Northeastern University's first-year student mobility program, offering undergraduate courses in Computer and Data Science, Mathematics, Engineering, Physics, Biology, Chemistry and Healthcare, striving to inspire and equip entering students to be outstanding scientists.
Person Specification Criteria
To undertake this role, the following should apply – should you not have the experience below, please do highlight where transferable skills would assist with you undertaking the role.
Qualifications
* PhD, or equivalent professional experience, in Machine Learning, Statistics, Electrical Engineering, Computer Science, or a related field.
Key Criteria
* Demonstrated experience with mathematical modelling, algorithm design, or theoretical analysis of learning systems.
* Proficiency in Python
* Background in statistical learning theory, conformal prediction, multiple hypothesis testing, or reliable inference
* Demonstrated ability to plan, execute, and publish research
* Excellent written and verbal interpersonal communication skills
* Excellent time-management and organisational skills
Additional Information
Enquiries
Informal enquiries may be made to Professor Osvaldo Simeone ). However, all applications must be made in accordance with the application process specified.
Applications must include a CV and covering letter of no more than one page that addresses the criteria for the role and includes names and contact information of up to three references. References will only be sought for short-listed candidates.
Application deadline is on 28th February 2026.
Interviews are expected to take place between 9/3/2025 and 13/3/2025.
Please note this role may require a basic or enhanced DBS check. Our organisation acknowledges the duty of care to safeguard, protect and promote the welfare of our students and staff, and is committed to ensuring safeguarding practice reflects statutory responsibilities, government guidance and complies with best practice and Ofsted requirements. You must adhere to the above if you are offered a role with NU London.
Applications are welcome from all sections of the community and will be judged on merit alone. We welcome applications from underrepresented groups. Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
Position Type
Salary Range
£42,701
Additional Information
About the University
Northeastern University London (NU London) is a prestigious higher education institution based in the heart of London and is part of Northeastern University's global campus network. Overlooking the River Thames near Tower Bridge, NU London offers academically challenging educational programmes designed to inspire innovative thinking, encourage interdisciplinary study, and provide global experiences. The bright and modern campus offers award winning, contemporary facilities for students and staff including state of the art audio visual technology in its teaching and meeting spaces.
Inspired by excellence, infused with an energy of ideas and ability in motion, at NU London, being a part of our staff is to be a part of a collective of entrepreneurs and educators, builders and thinkers. NU London is growing quickly, offering opportunity and growth for our staff. Currently hosting 1,500 students, our aim is to have 4000 students by 2028/29.
Choose NU London
As well as the exciting opportunities this role presents, the University supports staff maintaining a good work/life balance, your health and wellness are of utmost importance to us, and our offerings encompass:
* 25 days annual leave, plus 8 bank holidays and winter break holidays (normally 2 days between Christmas and New Year).
* Access to personalised Continuous Professional Development (CPD) plans and opportunities.
* Support with private medical insurance.
* Eye test reimbursement.
* Cycle Scheme vouchers.
* 24/7 employee assistance/ support via our Employee Assistance Programme.
* Access to deals and discounts for food & shopping in the local area.
Enquiries
Informal enquiries may be made to:
Alice Caryer
They can be reached at the following:
However, all applications must be made in accordance with the application process specified.
Application process
Applications should be made by 00:00 on the job posting's end date (if applicable).
Participation in the equal opportunities section is encouraged, but voluntary.
Applications must include a covering letter of no more than one page that addresses the criteria for the role and a full curriculum vitae.
The panel will be shortlisting for this position on a rolling basis so please apply as soon as possible. We reserve the right to close this post before the closing date if we receive a large number of applications.
Please note all employees of Northeastern University London are required to undergo at least a basic DBS check. Our organisation acknowledges the duty of care to safeguard, protect and promote the welfare of our students and staff, and is committed to ensuring safeguarding practice reflects statutory responsibilities, government guidance and complies with best practice and Ofsted requirements. You must adhere to the above if you are offered a role with NU London.
For staff's own wellbeing, for part time roles, the expectation is if you have multiple roles, they should not exceed full time (37.5 hours per week), and for full time roles, the expectation is that this will be your only role (apart from intermittent roles).
Applications are welcome from all sections of the community and will be judged on merit alone. We welcome applications from all underrepresented groups, including the Global Majority. Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.