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- Tasks: Join our team to research skyrmionics for neuromorphic computing and conduct cutting-edge simulations.
- Company: Be part of a vibrant community at the University, collaborating with top institutions like CNRS and Thales.
- Benefits: Enjoy a fantastic pension scheme, health services, generous leave, and discounts at major retailers.
- Why this job: Work on innovative tech that mimics brain function while being part of an interdisciplinary team.
- Qualifications: PhD or close to submission in relevant fields; strong computational skills and interest in neuromorphic computing required.
- Other info: Flexible working options available; we celebrate diversity and welcome applicants from all backgrounds.
The predicted salary is between 30000 - 42000 £ per year.
The University seeks to appoint a research associate with expertise on computational techniques in the Department of Computer Science to work on Skyrmionics for Neuromorphic Computing, including an interdisciplinary project between Manchester, CNRS, Thales, AUTh and Eurida.
The post is relevant to candidates with computational skills, such as micromagnetic and atomistic simulations, with a strong interest on circuit-level and neural network-level simulations.
The candidate will conduct research related to emerging magnetic nanotechnologies in order to enable computing hardware for brain-inspired computing. In particular, the candidate will work towards the development of skyrmionics-based neuromorphic components, such as nanosynaptic devices, taking into consideration realistic operating conditions. Details for the post are found in the link below for the Further Particulars document which contains the person specification criteria.
The candidate will be part of the NeuroΣky team and will be hosted by the Nano Engineering and Spintronic Technologies (NEST) group. The NEST group is a vibrant community
of interdisciplinary researchers working on a variety of topics including spintronics, magnetic data storage, nano-technology applications, numerical modelling and simulation. The group are active members of the National Graphene Institute (NGI), the Royce institute for advanced materials
The person appointed will need to demonstrate the following:
- Possession of or close to submitting a PhD degree in a relevant discipline (e.g. physics, computer science, electrical & electronic engineering)
- Has expertise and a strong interest in computational applied physics
- Has a strong interest in neuromorphic computing and Artificial Neural Networks (ANNs)
- Exhibits computational physics skills and familiarity with micromagnetics programs (e.g. mumax3, OOMMF or similar)
- Has experience of research in spintronics, magnetic materials and/or devices
- Exhibits data analysis skills and familiarity with standard scientific programs (e.g. Matlab, Origin, Mathematica or similar)
- Can demonstrate the ability to carry out research at a high level
- Has a high standard of communication skills, both written and oral
- Can demonstrate the ability to work both independently and as part of a team
- Has a willingness to travel both within the UK and internationally
- Has a willingness to undergo training where needs are identified and engage in continuous professional development
- Has an ability to write papers and publish in high-quality scientific journals
- Has evidence of presenting their work at high-standing, international conferences
- Has a willingness to contribute to the team\’s knowledge base by contributing to the wiki, GitHub repositories, and documentation, including protocols and experimental notes
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk .
Any CV\’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Christoforos Moutafis
Email: Christoforos.Moutafis@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria. #J-18808-Ljbffr
Research Associate in Computational Skyrmionics for Neuromorphic Computing employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Computational Skyrmionics for Neuromorphic Computing
✨Tip Number 1
Familiarise yourself with the latest advancements in skyrmionics and neuromorphic computing. This will not only help you understand the project's context but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Connect with current or former members of the NeuroSky team or the NEST group on platforms like LinkedIn. Engaging with them can provide insights into the team's culture and expectations, which can be beneficial for your application.
✨Tip Number 3
Prepare to discuss your computational skills in detail, especially regarding micromagnetic simulations and data analysis tools. Be ready to share specific examples of your past work that demonstrate your expertise in these areas.
✨Tip Number 4
Showcase your willingness to collaborate and contribute to the team's knowledge base. Highlight any previous experiences where you've worked in a team setting or contributed to shared resources like GitHub repositories or documentation.
We think you need these skills to ace Research Associate in Computational Skyrmionics for Neuromorphic Computing
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description to grasp the specific skills and qualifications required for the Research Associate position. Pay attention to the emphasis on computational techniques and neuromorphic computing.
Tailor Your CV: Customise your CV to highlight relevant experience in computational physics, micromagnetic simulations, and any research related to spintronics or magnetic materials. Make sure to include specific projects or publications that demonstrate your expertise.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the role. Emphasise your interest in neuromorphic computing and how your skills align with the interdisciplinary nature of the project. Mention your willingness to contribute to the team's knowledge base.
Highlight Communication Skills: Since the role requires high standards of communication, provide examples in your application of how you've effectively communicated complex ideas, whether through presentations, publications, or collaborative projects.
How to prepare for a job interview at The University of Manchester
✨Showcase Your Computational Skills
Make sure to highlight your expertise in computational techniques, especially micromagnetic and atomistic simulations. Be prepared to discuss specific projects or experiences where you've successfully applied these skills.
✨Demonstrate Your Interest in Neuromorphic Computing
Express your enthusiasm for neuromorphic computing and Artificial Neural Networks (ANNs). Discuss any relevant research or projects that align with the university's focus on skyrmionics-based components.
✨Prepare for Technical Questions
Expect technical questions related to spintronics, magnetic materials, and data analysis. Brush up on your knowledge of programs like Matlab, Origin, or Mathematica, as you may be asked to solve problems or analyse data during the interview.
✨Emphasise Teamwork and Communication Skills
Since the role involves working within a vibrant interdisciplinary team, be ready to share examples of how you've collaborated effectively in the past. Highlight your communication skills, both written and oral, as these are crucial for presenting research findings.
