Job Summary Table of Senior/Postdoctoral Research Associate

Job Description Summary

The Digital Mental Health Group at the University of Cambridge’s MRC Cognition and Brain Sciences Unit is seeking a Senior/Postdoctoral Research Associate to join their innovative team. This role offers an exciting opportunity to contribute to cutting-edge research at the intersection of adolescent mental health, cognitive neuroscience, and digital technologies.

Responsibilities

• Conduct advanced statistical analyses on pre-existing longitudinal data using techniques such as dSEM or causal approaches
• Perform computational modeling of behavioral data, potentially utilizing reinforcement learning methodologies
• Analyze objective social media data (e.g., TikTok videos) using Large Language Models (LLMs) and other advanced techniques
• Develop new and creative ideas, methodologies, and approaches to address challenging and societally important questions
• Collaborate with group members on developing projects and analyzing newly collected datasets
• Design and implement strategies to ensure long-term reproducibility of research projects
• Collaborate with international colleagues through the CERES network
• Contribute to the group’s research programmes based on personal interests and skills

Benefits and Perks

• Flexible start date between October 2024 and February 2025
• Option for part-time work arrangements
• Opportunity to develop a personal research programme
• Access to world-class research facilities and resources
• Collaborative and supportive work environment
• Potential for career growth and development

Company Overview

The University of Cambridge is a world-renowned institution known for its academic excellence and groundbreaking research. The MRC Cognition and Brain Sciences Unit, where this position is based, is a leading research center celebrated for its close-knit community, collaborative atmosphere, and outstanding research support.

Company Culture

At the Digital Mental Health Group, you’ll find a dynamic and innovative environment that encourages creativity and intellectual curiosity. The team values collaboration, interdisciplinary approaches, and the application of cutting-edge methodologies to solve complex problems in mental health research.

Career Growth Opportunities

This role offers significant opportunities for career advancement in the fields of digital mental health, cognitive neuroscience, and data science. You’ll have the chance to:

• Develop expertise in advanced statistical techniques and computational modeling
• Contribute to high-impact research publications
• Present findings at international conferences
• Collaborate with leading researchers in the field
• Build a strong professional network within academia and industry

Diversity, Equity, Inclusion, and Belonging

The University of Cambridge is committed to fostering a diverse and inclusive research environment. We welcome applications from all qualified candidates, regardless of background, and actively support the professional development of researchers from underrepresented groups in science.

Equal Opportunity Statement

The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society. We are committed to providing equal opportunities for all qualified candidates and ensuring a fair and inclusive recruitment process.

Remote Work Policy

This position is primarily based on-site at the MRC Cognition and Brain Sciences Unit in Cambridge. However, the University recognizes the importance of work-life balance and may offer some flexibility in working arrangements, subject to the needs of the research project and team.

Application Process

1. Review the full job specification and requirements
2. Prepare your CV and a covering letter outlining how you match the criteria for the post
3. Register an account on the University’s recruitment system
4. Submit your application online, including your CV and covering letter
5. Provide details of your referees, including email address and phone number

Application Deadline

The closing date for applications is 19th August 2024.

How to Apply

To apply for this position, please visit the University of Cambridge Jobs website and click the ‘Apply’ button. Ensure that you upload your CV and covering letter in the Upload section of the online application.

Social Media Links

• University of Cambridge LinkedIn
• University of Cambridge Twitter
• University of Cambridge Facebook

FAQs or Additional Information

Q: What is the CERES network mentioned in the job description?

A: The CERES network is an international collaboration of researchers working in the field of digital mental health. As a member of this network, you’ll have opportunities to collaborate with experts from various institutions worldwide.

Q: Is there potential for the position to extend beyond the initial two-year term?

A: While the funds for this post are initially available for two years, there may be possibilities for extension based on project outcomes and funding availability. This can be discussed further during the interview process.

Q: What programming languages are most relevant for this position?

A: Proficiency in R, Python, or MPlus is highly desirable, depending on the analytical approaches you intend to use. However, expertise in other relevant programming languages may also be considered.

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