Assistant, Associate or Full Professor in AI or Quantum Information Processing

Discipline: Intelligent Network Systems Institute

Faculty: Intelligent Network Systems Institute

Salary Range

• £49,469 to £60,795 p.a. for Assistant Professor (Grade 8) (depending on qualifications and experience);
• £59,030 to £79,276 p.a. for Associate Professor (Grade 9) (depending on qualifications and experience);
• competitive salary for Full Professor

Direct Reports: To be determined

Reports to: To be determined

Benefits:

The university supports staff maintaining a good work-life balance, offering: (i) flexible working and parental leave opportunities; (ii) an employee assistance programme which provides free, confidential advice on both home and work concerns, as well as optional private medical insurance; (iii) season ticket loans; and (iv) being part of the cycle-to-work scheme.

Start: January 2027

The Role

Northeastern University – London (NU London), in collaboration with Northeastern’s Intelligent Networked Systems Institute (INSI), College of Engineering (COE), and the Department of Electrical and Computer Engineering (ECE), invites applications for academic appointments at the levels of Assistant, Associate or Full Professor in AI or Quantum Information Processing .

We seek outstanding candidates whose research and teaching focus on one or more of the following broad areas, with applications to telecommunications and beyond:

• Computational Aspects of Artificial Intelligence,
• Artificial Intelligence for Engineering
• Quantum Information Processing

This position will play a crucial role in establishing new cutting-edge research and educational programmes at NU London, and in strengthening Northeastern’s global network of campuses in the UK and the US. The successful candidate will build and maintain strong ties with industrial and academic partners across the UK, the European Union, the US, and globally.

We welcome candidates who are committed to building a diverse and inclusive community that fosters excellence in research and teaching. We particularly encourage applications from those belonging to groups underrepresented in higher education.

Key Responsibilities

• Develop, lead and conduct world-class research in one or more of the defined areas.
• Secure external funding, publish in high-impact journals and conferences, and build a research team or collaborative network.
• Teach undergraduate and graduate courses (e.g., foundational and advanced topics) and supervise MSc and PhD student research.
• Contribute to the growth of INSI: help define its strategic direction, translate research into real-world engineering and telecom network applications, and foster interdisciplinary collaboration.
• Engage with industry and academic partners to facilitate translational research and innovation across telecommunications, networked infrastructure, and intelligent systems.
• Collaborate within Northeastern’s global campus network to deliver interdisciplinary education, joint programmes, and international partnerships.

About the Institute

The Intelligent Networked Systems Institute (INSI) at NU London is a newly established transatlantic research hub focused on next-generation connectivity and intelligent computing and learning systems. The INSI London Hub acts as a bridge between the US and Europe, advancing interdisciplinary collaboration across continents. INSI is dedicated to addressing pressing challenges in telecommunications, artificial intelligence, quantum information, and information processing—all with the objective of creating a more efficient, connected, and secure world.

About the University

Founded in 2012, Northeastern University London (formerly known as New College of the Humanities) has established itself as a prestigious higher education institution based in the heart of London. Northeastern University London is part of Northeastern University’s Global Campus Network. Positioned as top ranking in the USA, Northeastern has campuses in Arlington, Boston, Charlotte, Miami, Oakland, San Jose, and Seattle in the USA, and Toronto and Vancouver in Canada.

After becoming part of Northeastern University’s global network in early 2019, the University has undergone a period of rapid growth, having been granted Taught Degree Awarding Powers in February 2020 and moved to a new, state-of-the-art campus in 2021.

Northeastern University London offers a vibrant, collegiate community delivering broad and academically rigorous degree programmes, designed to equip graduates with the combination of skills and knowledge that are increasingly desired by organisations, employers, and society. It offers state of the art audio visual technology in its teaching and meeting spaces across the organisation.

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) in Computer Science, Electrical or Electronic Engineering, Telecommunications, Physics, or a closely related field (by the time the position starts for early-career researchers).

Key Criteria

• Demonstrated excellence in research and teaching commensurate with the rank applied for (assistant, associate or full professor).
• Strong record in one or more of: large-scale AI systems and architectures; optimisation/learning theory; quantum information/quantum communication; AI for engineering.
• Demonstrated experience or a strong interest in interdisciplinary, international research and partnerships, with particular emphasis on bridging research between Europe and the US.
• Excellent interpersonal and communication skills, and ability to collaborate with industry and academic stakeholders globally.

Additional Information

Enquiries

Informal enquiries may be made to Osvaldo Simeone (o.simeone@northeastern.edu) and Bipin Rajendran (b.rajendran@northeastern.edu). However, all applications must be made in accordance with the application process specified below.

Application Process

Applications should be made via the ‘Apply’ button above by 23:59 on May 29, 2026. Participation in the equal opportunities section is encouraged, but voluntary. Applications must include:

1. full curriculum vitae
2. cover letter that sets out concisely and in ways relevant to this role how the applicant meets the person specification criteria
3. research statement (3 pages maximum, plus references) outlining current and planned research programme, including links to AI, quantum, and/or network engineering.
4. teaching statement (2 pages maximum) describing your teaching philosophy and plans for contributing to undergraduate and graduate education.
5. names and contact information for at least three individuals who can each provide a letter of recommendation (references will only be sought for short-listed candidates)

Interviews are expected to take place between June 22 and July 3, 2026.

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.

We do not require assistance from recruitment agencies. Any applications made by recruitment agencies will be returned.

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.

Job sponsorship. Visa sponsorship may be available for a successful candidate for this position.