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For Companies At a Glance
- Tasks: Join a cutting-edge research team developing energy-efficient AI algorithms for neuromorphic language models.
- Company: Northeastern University London, a prestigious institution in the heart of London.
- Benefits: Flexible working, 25 days leave, health support, and professional development opportunities.
- Why this job: Make a real impact in AI research while enjoying a vibrant work-life balance.
- Qualifications: PhD in relevant field, experience in algorithm design, and proficiency in Python.
- Other info: Dynamic environment with excellent career growth and collaboration opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About the Opportunity
Position Overview
- Discipline: Engineering
- Faculty: Computing Mathematics Engineering and Natural Sciences (CoMENS)
- Location: London Devon House (St Katherines Dock)
- Term: 12 months
- Salary Range: 42701 per annum
- Reports to: Professor Osvaldo Simeone
Benefits
- The university supports staff maintaining a good work-life balance offering flexible working and parental leave opportunities.
- An employee assistance programme which provides free confidential advice on both home and work concerns as well as optional private medical insurance.
- Season ticket loans.
- Being part of the cycle-to-work scheme.
Start February 2026
The Role
Northeastern University London invites applications for a Post-Doctoral Research Associate in Efficient Fine-Tuning Algorithms for Neuromorphic Language Models to work with Professor Osvaldo Simeone and Professor Bipin Rajendran. This position is funded under an ARIA grant aimed at democratizing AI via brain-inspired energy-efficient training and adaptation. The successful candidate will join a research group working on this project to develop theoretically principled energy-efficient and reliability-aware frameworks for next-generation AI with special emphasis on neuromorphic and spiking architectures for language modeling. Key application domains include edge intelligence, low-power autonomous systems and communication networks.
Research Contributions
- Efficient fine-tuning of spiking / neuromorphic language models: sparse updates, weight quantization, modulatory adaptation and task-dependent reconfiguration.
- Neuromorphic hardware-software co-design including simulation and prototyping of energy-aware spiking systems for scalable inference and adaptation.
- Publishing results in leading journals and conferences in machine learning, information theory and quantum information.
- Presenting research findings at project meetings, workshops and international symposia.
- Supporting the supervision and mentoring of PhD students and research assistants within the group.
- Contributing to the preparation of project deliverables, reports and future funding proposals.
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 programmes in the areas of Data Science, Data Science and Politics, Computer Science and Business, and Computer Science and Philosophy; four postgraduate programmes 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 programme 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; if you do not have the experience below please highlight where transferable skills would assist you in undertaking the role.
Qualifications
- PhD or equivalent professional experience in 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.
- Demonstrated ability to plan, execute and publish research.
- Excellent written and verbal interpersonal communication skills.
- Excellent time-management and organisational skills.
Additional Information
Enquiries may be made to Professor Osvaldo Simeone. However all applications must be made in accordance with the application process specified.
Application Process:
Applications must include a CV and a 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. The panel will be short-listing 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 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.
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 part of our staff is to be a part of a collective of entrepreneurs and educators, builders, and London's rapid growth offers opportunity and growth for our staff. Currently hosting 1500 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.
Other Contact Information
Informal enquiries may be made to Alice Caryer. However all applications must be made in accordance with the application process specified.
Employment Type: Full-time
Vacancy: 1
Postdoctoral Research Associate in Efficient Fine-Tuning Algorithms for Neuromorphic Language Models employer: Northeastern University
Contact Detail:
Northeastern University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Efficient Fine-Tuning Algorithms for Neuromorphic Language Models
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of neuromorphic computing and AI. Attend relevant conferences or workshops, and don’t be shy about introducing yourself to potential collaborators or mentors.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your research contributions, especially in algorithm design and mathematical modelling. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues to refine your communication skills. Focus on explaining complex concepts clearly, as this is crucial for roles in academia and research.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s the best way to ensure your application gets the attention it deserves, and you’ll be part of our growing community at Northeastern University London.
We think you need these skills to ace Postdoctoral Research Associate in Efficient Fine-Tuning Algorithms for Neuromorphic Language Models
Some tips for your application 🫡
Craft a Stellar CV: Your CV is your first impression, so make it count! Highlight your relevant experience in Electrical Engineering or Computer Science, and don’t forget to showcase your skills in mathematical modelling and algorithm design.
Nail the Covering Letter: Keep it concise and focused—one page is all you need! Address the key criteria mentioned in the job description and let your passion for neuromorphic language models shine through. We want to see your personality!
References Matter: Include up to three references with their contact info. Make sure they can vouch for your skills and experience, as we’ll be reaching out to them for shortlisted candidates. Choose wisely!
Apply Early!: We’re short-listing on a rolling basis, so don’t wait until the last minute. Head over to our website and submit your application as soon as possible to increase your chances of standing out!
How to prepare for a job interview at Northeastern University
✨Know Your Algorithms
Make sure you brush up on efficient fine-tuning algorithms and neuromorphic language models. Be ready to discuss your experience with mathematical modelling and algorithm design, as these are key aspects of the role.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain a project where you used Python effectively, so have examples ready.
✨Prepare for Research Discussions
Be ready to talk about your past research contributions and how they relate to the position. Think about how you can contribute to publishing results and mentoring PhD students, as this will show your commitment to the academic community.
✨Ask Insightful Questions
Prepare thoughtful questions about the research group and the projects you'll be involved in. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
