Research Assistant/Associate (Computational Neuroscience)

at  Newcastle University

SALARY:

Research Assistant: £31,396 to £32,982 per annum
Research Associate: £33,966 to £44,263 per annum
Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.
Closing Date: 12 November 2024
The Role
Your role…. You are a talented and driven Scientist with expertise in computational neuroscience. You will focus on building and analysing models of spiking neural networks and multicompartmental neuron models to develop novel theoretical frameworks for understanding neuromodulatory function. This role offers a unique opportunity to contribute to cutting-edge research in a collaborative and dynamic environment.
The project…. The neocortex is a complex brain structure that commands higher-order cognitive functions such as intelligence, learning and memory. It is densely innervated by neuromodulatory projections, which control the multiscale organization of neurons, synapses and network activity. The effects of neuromodulators in the cortex are typically studied at a single level of organization – neurons, synapses or networks. Consequently, much of the prevailing views on high-level cortical function appear to be centred around ideas that largely ignore the multiscale effects of neuromodulation.
The overall aim of this project is to build multicompartmental computational models of neuromodulatory function and interactions in cortical microcircuits. The multicompartmental models will serve as a reference for spiking neural network models to test the role of neuromodulators in continual learning.
This post is fixed term to 7 August 2026.
For informal enquiries contact: Dr Srikanth Ramaswamy at srikanth.ramaswamy@newcastle.ac.uk .
Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/
Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/
As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role profiles . These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.
Please note that if you are successful to this role, you will require medical clearance before you can commence in the role.
Key Accountabilities
Although working under the general guidance of an academic or Principal Investigator, the postholder will contribute ideas, including enhancements to the technical or methodological aspects of their studies, thus providing substantial ‘added value’
Develop and carry out the specified project using appropriate techniques and equipment as outlined in the personal requirements
Determine appropriate methodologies for research, with advice and support where required
Contribute to grant applications submitted by others and in time develop own research objectives and proposals for funding
Begin to write, with appropriate support, proposals for individual research funding or, where funders do not permit this, contribute to the writing of collective bids
Assess research findings for the need/scope for further investigations
Contribute to the writing up of their research for publication and dissemination, either through seminar and conference presentations or through publications
Present research findings, either at conferences or through publications in reputable outlets appropriate to the discipline
May be involved in the supervision, with guidance, of final year undergraduate research projects and in providing support to postgraduate research students or Research Assistants
Will need to work with the support staff and, on occasions, with undergraduate and postgraduate students, and interact intellectually with other academic members of the Institute
May contribute to events celebrating the public engagement of science/social sciences/humanities
Develop an awareness of University structures, policies and procedures and relevant issues in the higher education, research, social and political environment
Develop and refine computational models of spiking neural networks and multicompartmental neuron models
Apply mathematical analysis to interpret and predict neuromodulatory functions
Utilize and advance simulations using the NEURON simulation environment
Implement machine learning frameworks using TensorFlow and PyTorch for neuroscientific applications
Collaborate with experimental neuroscientists to validate models and theories.
Analyse and interpret complex data sets, presenting findings in written and oral formats for scientific publications and conferences
Maintain accurate and detailed records of research methodologies and result
The Person
Knowledge, Skills and Experience
Ability to work well as part of a team and rapidly acquire new skills
Detailed subject knowledge of neuroscience and neurophysiology
Likelihood of advanced skills directly related to the research projects
High level of analytical and problem-solving capability
Ability to communicate complex information with clarity and to encourage the commitment of others
Experience in research with clear transferable skills and some experience or awareness of the research environment
Presentations at conferences and/or high-quality publications
Develop and refine computational models of spiking neural networks and multicompartmental neuron models
Apply mathematical analysis to interpret and predict neuromodulatory functions
Utilize and advance simulations using the NEURON simulation environment
Implement machine learning frameworks using TensorFlow and PyTorch for neuroscientific applications
Collaborate with experimental neuroscientists to validate models and theories
Attributes and Behaviour
Strong expertise in computational modelling of neural systems
Proficiency in the NEURON simulation environment (this would be a distinct advantage)
Advanced programming skills in Python
Ability to work independently and collaboratively within a multidisciplinary team
Excellent problem-solving, communication, and organizational skills
Desirable
Experience with high-performance computing and managing compute clusters
Familiarity with TensorFlow and PyTorch
Knowledge of advanced data analysis techniques and software
Qualifications
A PhD (or close to finishing a PhD) in Computational Neuroscience, Physics, Applied Mathematics, Computer Science, or a related field is required. Those nearing completion of a PhD will be offered the role as Research Assistant and those with a PhD will be offered the role as Research Associate
Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.
We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.
At Newcastle University we hold a silver Athena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.
In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
Requisition ID: 2768

Please refer the Job description for details