Research Associate in the Department of Forensic & Neurodevelopmental Sciences

EURAXESS Czech Republic; London; On-site; GBP 44,000 - 52,000; Full time

Job summary

An established industry player seeks two Post-Doctoral Research Associates to explore cutting-edge network psychometrics. This role will focus on how clinical features interact across development, utilizing extensive longitudinal data. Ideal candidates will have a PhD or be nearing completion, with strong skills in systems modelling and statistical analysis. Join a diverse and inclusive team at a leading institution, where your contributions will drive significant advancements in understanding mental health across the lifespan. Embrace this opportunity to make a meaningful impact in the field of neurodevelopment.

Qualifications

• Candidates should have a PhD or thesis submitted in a relevant field.
• Advanced knowledge of systems level modelling is essential.
• Proven competence in complex quantitative research methodologies.

Responsibilities

• Lead analyses on network psychometrics to track clinical features.
• Work with longitudinal data from large European cohorts.
• Collaborate in a multidisciplinary research team.

Skills

PhD in neuropsychiatry/neurodevelopment/life sciences

Systems level modelling

Quantitative research methodologies

Statistical analysis (R, Stat, MPlus)

Longitudinal modelling

Writing for peer-reviewed journals

Excellent communication skills

Organisational and time management skills

Education

PhD or thesis submitted

Tools

R

Stat

MPlus

Job description

Organisation/Company KINGS COLLEGE LONDON Research Field Other Researcher Profile Recognised Researcher (R2) Country United Kingdom Application Deadline 29 May 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

About us

A new opportunity has opened in the Department of Forensic and Neurodevelopmental Sciences for two Post-Doctoral Research Associates to lead on cutting-edge 'network psychometrics' to examine how clinical features interact with each other (as well as neurobiological, neurocognitive processes) across development. These analyses will provide critical information to track what drives changes (e.g., developing mental health problems), when (identifying critical developmental tipping points), and how (which mechanistic pathways drive this).

The post holder(s) will work with secondary data from very large (>2,500 individuals) longitudinal European cohorts that span from the preschool age range into middle adulthood. Individuals within these cohorts have been ‘deeply phenotyped’ - comprehensively characterised by their clinical characteristics, behaviour/cognitive profiles, brain structure and function, inflammatory markers, and genetics.

This is a full time post (35 Hours per week), and you will be offered a fixed term contract until 30th November 2026.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

• PhD awarded (or thesis submitted) in a research-based field of relevance to neuropsychiatry/neurodevelopment/life sciences. (Please ensure you submit your PhD qualification or proof of thesis submission alongside your application)
• Advanced knowledge of systems level modelling in life sciences, with demonstrable research interest in the topic area of psychiatry.
• Proven competence in complex quantitative research methodologies and statistical analysis, particularly in relation to big/longitudinal data, using script-based statistical packages (e.g., R, Stat, MPlus).
• Experience with longitudinal modelling approaches and data harmonisation.
• Proven track record of writing for peer-reviewed journals commensurate with level of career.
• Excellent written and verbal communication skills and evidence of effective collaborative working in a multidisciplinary research team.
• Excellent organisational and time management skills, with the ability to plan and prioritise own workload to meet project targets.

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit ’ pages.

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK

Grade and Salary:£44,355 - £51,735 per annum, including London Weighting Allowance

Job ID:114226

Close Date:29-May-2025

Contact Person:Professor Eva Loth / Professor Declan Murphy

Contact Details:[e-mail] / [e-mail]