**Job Description**
Contribute to a project investigating the role of sleep and circadian disruption in mood disorders and their comorbidity with cardiometabolic disease, working with Dr Laura Lyall. The role involves planning and conducting assigned research, documenting output, contributing to high-quality publications and presentations, assisting in the development of funding proposals, collaborating with colleagues, and contributing to the organisation, supervision, mentoring, and training of students.
**Skills & Abilities**
• Project or subject-specific skills.
• Understanding and application of data analysis with large datasets.
• Theoretical and practical knowledge of sleep/chronobiology and related analysis techniques and/or mental and physical health data.
• Research creativity and cross-discipline collaborative ability.
• Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely.
• Excellent interpersonal skills including team working and a collegiate approach.
• Appropriate workload/time/project/budget/people management skills.
• Extensive IT and data analysis/interpretation skills.
• Self-motivation, initiative and independent thought/working.
• Problem-solving skills including a flexible and pragmatic approach.
**Qualifications**
Required Degree(s) in:
• SCQF Level 10 (Honours degree) in a relevant subject or cognate discipline, or equivalent.
• Specialist theoretical and practical knowledge of the role of sleep or circadian disruption in mental health disorders.
• Comprehensive and up-to-date knowledge of the wider subject area or subject specialism.
**Experience**
Experience Required:
• Sufficient relevant research experience (or equivalent) appropriate to an early career researcher.
• Project or subject-specific experience.
• Experience of scientific writing.
• Proven ability to deliver quality outputs in a timely and efficient manner.
• Evidence of an emerging track record of publications in a relevant field.
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