Research AssociateNew

University of Glasgow; Glasgow; On-site; GBP 40,000 - 46,000; Full time

Job summary

An established industry player is seeking a dedicated researcher to contribute to an NIHR-funded project focused on agent-based modelling for policy development in Scotland. This role involves collaboration with esteemed colleagues, developing innovative policy modules in Julia, and engaging with public and patient involvement initiatives. The successful candidate will lead research activities, mentor students, and contribute to impactful publications. Join a vibrant academic community that values diversity and offers a supportive environment for professional growth and development.

Benefits

Generous leave

Pension

Flexible working

Health and wellbeing support

Relocation assistance for international applicants

Qualifications

• PhD with 2+ years postdoctoral experience required.
• Extensive knowledge of agent-based modelling in Julia.

Responsibilities

• Lead planning and execution of the ABM project.
• Document research outputs and build research profile.

Skills

Agent-based modelling in Julia

Research independence

Management skills

Proficiency in Python/R

Creativity and collaboration

Education

PhD or equivalent

Tools

Julia

Python

R

Job description

1 day ago Be among the first 25 applicants

Job details

Posted 29 April 2025 Salary £40,497-£45,413 End date 27 May 2025 Location Glasgow Job Type Research and Teaching Reference 171072 Expiry 27 May 2025

Job Description

Job Purpose
The successful candidate will contribute significantly to an NIHR-funded project focused on applying agent-based modelling (ABM) to key policy areas related to establishing a Wellbeing Economy in Scotland. The modelling outcomes will assist policymakers in exploring impacts of policies like Minimum Income Guarantees, social care, and pandemic resilience. The candidate will collaborate with Dr. Eric Silverman, colleagues at the University of Glasgow, and partners from the NIHR HDRC and HealthMod. The project involves developing policy modules in Julia to integrate with existing ABM frameworks, informed by patient and public involvement (PPI). The role includes developing these modules, facilitating PPI focus groups, and coding in Julia. The candidate will also manage project activities, contribute to publications and funding proposals, and receive training in policy exchange and PPI.

Main Duties and Responsibilities

1. Lead planning and execution of the ABM project, aligning with research strategies.
2. Document research outputs, including analysis, code, and reports.
3. Build research profile through publications, societal impact, and esteem indicators.
4. Review literature, understand research challenges, and develop strategies.
5. Present at conferences, seminars, and workshops to disseminate research.
6. Identify funding opportunities and assist in proposal development.
7. Develop collaborations with academic and policy partners.
8. Lead team meetings, seminars, and research activities.
9. Supervise and mentor postgraduate students and junior staff.
10. Handle administrative tasks, including budgeting.
11. Contribute to teaching and related activities.
12. Stay updated with advances in the field.
13. Engage in personal and professional development.
14. Perform other duties as required.
15. Enhance the university’s international profile.

Knowledge/Qualifications
A1. PhD or equivalent with at least 2 years of postdoctoral experience.
A2. Extensive knowledge of agent-based modelling in Julia.
A3. Knowledge of evolutionary simulations.
A4. Relevant research experience for an early career researcher.

Desirable:
B1. Experience with PPI approaches like systems mapping.
B2. Understanding of public health challenges and policy context.
B3. Knowledge of calibration and uncertainty methods for ABM.
B4. Knowledge of epidemiological and microsimulation methods.

Skills
C1. Ability to produce quality results efficiently.
C2. Demonstrated independence in research.
C3. Proficiency in Julia.
C4. Management skills.
C5. Creativity and collaboration across disciplines.

Desirable Skills:
D1. Proficiency in Python/R.
D2. Developing scalable simulations for high-performance computing.

Experience
E1. Publications and presentations in reputable outlets.
E2. Independent research experience.
E3. Developing agent-based models in Julia.
E4. Commitment to open research practices.
E5. Supporting colleagues’ career development.

**Applicants must address all essential/desirable criteria in their application.**
For informal discussion, contact [e-mail]

Terms and Conditions
Salary: Grade 7, £40,497-£45,413
Full-time, funding until 28 June 2030.
Closing date: 27 May 2025 at 23:45

The university values diversity and inclusion, encouraging applications from underrepresented groups. Benefits include a welcoming culture, generous leave, pension, flexible working, health and wellbeing support, and relocation assistance for international applicants.

Additional Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Research, Analysis, IT
• Industries: Higher Education