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- Tasks: Innovate language analysis for asylum seekers using cutting-edge technology and research.
- Company: Lancaster University, a top-ranked research institution in a vibrant community.
- Benefits: Agile working options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in migration studies while advancing your research career.
- Qualifications: PhD in relevant fields and experience with language technologies and data analysis.
- Other info: Join a collaborative team and enjoy the beautiful North West of England.
The predicted salary is between 36000 - 60000 £ per year.
Post Doctoral Research Associate:
Modalities for Understanding, Recording and Integrating Data Across Early life (MURIDAE) to elucidate the neurodevelopmental impact of schizophrenia risk genes
We are looking for a highly motivated and creative post-doctoral research associate (PDRA) to join the research teams of Dr Neil Dawson (Lancaster University) and Dr Steven Clapcote (University of Leeds) as part of the collaborative MURIDAE Cluster of the MRC National Mouse Genetics Network (NMGN, ). The MURIDAE project aims to elucidate how recently identified schizophrenia risk gene variants perturb brain development to impact on brain function, behaviour and cognition. You will work in the Dawson laboratory in the Division of Biomedical and Life Sciences at Lancaster University.
This role involves the analysis of brain function at the brain circuit and behavioural level, across development, using genetically modified mice with risk gene mutations for schizophrenia. As this post is within the larger MURIDAE Cluster and NMGN, collaboration is a vital part of the role. This will bring opportunities for training and teamwork with colleagues across different UK institutions.
You should hold a PhD in a relevant field, having a background in preclinical translational neuroscience, brain imaging approaches and behavioural techniques. You should have experience of working with mouse models and preferably hold a Home Office personal licence. We are looking for a highly motivated individual with excellent communication skills, the capacity to work collaboratively in a team, and ability to solve problems independently and creatively. Coding and image analysis skills would also be an advantage. While experience in these techniques is an advantage, training can be provided within our groups if needed. Most important is that you should have a strong interest in applying these methods to investigate the development of brain function in novel mouse models of genetic risk for schizophrenia. In our labs, we strive for cutting-edge research in a collegiate and supportive environment.
This is a fixed term position at 1.0 FTE for a period of 18 months.
The Division of Biomedical and Life Sciences, within the Faculty of Health and Medicine at Lancaster University, is a rapidly growing Division whose research effort is directed towards understanding fundamental mechanisms that underpin disease. It provides a friendly research environment that strongly supports the individual needs of each employee and which actively promotes a healthy work-life balance. The Faculty is committed to family-friendly and flexible working policies and has held a Silver Athena SWAN award since 2014 in recognition of its good employment practice undertaken to address gender equality in higher education and research.
Informal enquiries are welcome. Please contact Dr Neil Dawson:
We welcome applications from people in all diversity groups and are happy to consider flexible working requests.
Senior Research Associate employer: Lancaster University
Contact Detail:
Lancaster University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Associate
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lancaster University or those involved in the CELIA project. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by diving deep into the project details. Understand the methodologies and technologies mentioned in the job description. We want to show that we’re not just interested, but genuinely excited about contributing to the research!
✨Tip Number 3
Showcase our skills with examples! When discussing our experience, relate it directly to the responsibilities listed. If we’ve worked with large datasets or programming, let’s highlight those achievements clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our submission to fit the specific requirements of the role perfectly.
We think you need these skills to ace Senior Research Associate
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in speech science and language technologies. We want to see how your skills align with the CELIA project, so don’t hold back on showcasing relevant projects or research!
Showcase Your Skills: When detailing your experience, focus on your ability to learn and test new methods. We’re looking for someone who can adapt quickly, so share examples of how you've tackled challenges in past roles, especially with programming or data analysis.
Be Clear and Concise: Keep your written application straightforward and to the point. Use clear language to describe your achievements and avoid jargon unless it’s necessary. We appreciate clarity, especially when it comes to complex topics like automatic accent classification.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Lancaster University.
How to prepare for a job interview at Lancaster University
✨Know Your Project Inside Out
Before the interview, dive deep into the CELIA project and its objectives. Understand how your role as a Senior Research Associate fits into the bigger picture. This will not only show your enthusiasm but also help you articulate how your skills can contribute to the project's success.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and any relevant technologies you've used in speech science or data analysis. Bring examples of past projects where you've successfully implemented new methods or technologies, as this will demonstrate your capability to adapt and innovate.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of specific instances where you've worked effectively in a team. Be ready to discuss how you contributed to group projects, handled conflicts, and ensured that deadlines were met. This will highlight your teamwork skills and ability to work under pressure.
✨Practice Your Presentation Skills
Given the emphasis on reporting results through various presentation modes, practice explaining complex concepts clearly and concisely. You might be asked to present your findings or ideas during the interview, so being able to communicate effectively will set you apart from other candidates.
