Postdoctoral Research Associate

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 networksfrom 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 WIoTs 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-worldresearch.

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 Universitys 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 between9/3/2025 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

Additional Information

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 postings 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 staffs 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.