Research Assistant/Associate in Computational Neurology
Research Assistant/Associate in Computational Neurology
Newcastle University
Newcastle, United Kingdom
The Role
This is a unique opportunity for a motivated individual to join the School of Computing as a Research Assistant/Associate to work with us on an exciting research project. The project will investigate the structural and functional underpinnings of epilepsy to develop novel therapeutic approaches. The project will leverage data from a variety of modalities including EEG and MRI.
We are seeking an individual who is consistently methodical in their approach to research and adept at problem solving. We are looking for someone who is naturally collaborative and focussed on producing high-quality research outputs as part of a diverse and interdisciplinary team. You should have excellent interpersonal skills, with a talent for building professional working relationships with internal and external stakeholders and explore new avenues for medical applications. You may be required to design, create and present group research findings to external stakeholders, we are therefore looking for an individual who is innovative and possesses excellent communication skills.
Key Accountabilities
- To understand and convey material of a specialist or highly technical nature to the team or group of people through presentations and discussions
- To publish high quality outputs, including papers for submission to peer reviewed journals and papers for presentation at conferences and workshops under the direction of the Principal Investigator
- To prepare and deliver presentations on research outputs/activities to audiences which may include: research sponsors, academic and non-academic audiences
- To assist with the development of research objectives and proposals
- To conduct individual and collaborative research projects under the direction of the Principal Investigator
- To work with the Principal Investigator and other colleagues in the research group, as appropriate, to identify areas for research, develop new research methods and extend the research portfolio
- To deal with problems that may affect the achievement of research objectives and deadlines by discussing with the Principal Investigator and offering creative or innovative solutions
- To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration
- To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects
- To deliver training in research techniques/approaches to peers, visitors and students as appropriate
- To be involved in student supervision, as appropriate, and assist with the assessment of the knowledge of students
- To contribute to fostering a collegial and respectful working environment which is inclusive and welcoming and where everyone is treated fairly with dignity and respect
- To engage in wider citizenship to support the department and wider discipline
Knowledge, Skills and Experience
- You will have substantial technical experience in processing either neuroimaging (e.g. MRI, PET, CT) data, or neurophysiology data
- For applicants with an MRI background, you will have excellent advanced knowledge of software processing tools such as FSL, FreeSurfer, ANTS, MRtrix, SPM or similar
- For applicants with an MRI background, you will be very comfortable writing original shell scripts to run neuroimaging software, without the need for a graphical interface
- For applicants with an MRI background, you will have at least a good working knowledge of MRI physics
- For applicants with an M/EEG background, you will have excellent advanced knowledge of signal processing of M/EEG signals from first principles
- For applicants with an M/EEG background, you will be very comfortable writing MATLAB/Python code to analyse M/EEG data without the need for specific EEG processing toolboxes
- For applicants with an M/EEG background, you should have at least a good working knowledge of source-localisation
- You will have experience of at least one of the following analysis techniques (multiple preferred): Normative modelling, dimensionality reduction techniques, machine learning/AI, dynamic model inference (e.g. state space modelling), advanced statistics
- Experience in conducting high quality academic research
- Demonstrable ability to present research papers at national/international conferences and communicate complex information to specialists and within the wider academic community
- Strong publication record in peer-reviewed journals, commensurate with stage of career
Desirable:
- For applicants with an MRI background, you will have a good understanding of image processing (e.g. knowledge of registration, smoothing, segmentation, techniques)
- A track record of presenting research at conferences, symposia, or meetings, commensurate with stage of career
- Demonstrable ability to develop research proposals and designs in collaboration with other academics
- Evidence of experience in contributing to collaborative research projects
Attributes and Behaviour
- Demonstrable ability to work cooperatively as part of a team, including participating in research meetings
- Ability to work independently on own initiative and to strict deadlines
- Excellent interpersonal skills with the ability to present as a representative of the lab at national and international scientific events
- Demonstrate strong mathematical and computational abilities
- Demonstrate excellent programming ability in languages such as MATLAB or Python
- Excellent communication skills across multiple disciplines
- Excellent academic writing skills
- Demonstrable commitment to the values of equality and diversity in all aspects of your work.
Desirable:
- Demonstrable ability to plan and manage independent research
- Ability to set research goals, be self-motivated and proactive
- A keen eye for visual presentation, software design, and in writing clear, concise, elegant code
- Strong interest in interdisciplinary research
Qualifications
- A PhD awarded (or nearing completion) in Computer Science, Mathematics/Statistics, Physics, Neuroscience or a project-relevant subject.
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