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Research Associate In Career Destinations

 

Job Description

We are looking for a researcher to join us on a flexible basis to assist with our project ?Exploring the longer-term career progression of researchers in the university environment?. This project is funded by Research England.   

The project aim is to uncover the hidden long-term roles in research and adjacent areas, including teaching-focused and professional services roles, open to those who start as researchers in Higher Education (HE) and the reasons people select these career paths. As well as conduct research on the prevalence of these career paths, through qualitative interviews and surveys, we will use the results to also create an online web resource showcasing career profiles. The project will explore:  

  • The wealth and variety of roles in research, research support, and education available in HE to those with a research background and what these roles might offer in contrast to the classical lecturer options.  
  • How the skills and experiences of research staff make them eminently employable long-term in a variety of roles.  
  • How far discrimination or related factors affect the choices made against the classical lecturer path to provide further resources for specific groups  
  • Celebrate the value of roles in HE beyond the classical lecturer path.  

We are looking for a researcher(s) who can conduct qualitative and quantitative research for this project and contribute to the development of the resource for King's research staff and the wider King's community. Specific responsibilities cover:  

  • Conduct qualitative interviews of participants mainly in the faculties of Arts & Humanities and Dental, Oral, and Craniofacial Sciences willing to share their career journey, and complete follow-up transcription and analyses. 
  • Complete quantitative and qualitative research on project-relevant data, employing methods used to analyse data in the social sciences.  
  • Support the advertising and recruitment of participants, liaising with faculty contacts and other stakeholders as required.  
  • Develop necessary documents for the project and develop reports on completed analyses.  
  • Creating the online web resource for showcasing career profiles, including collaborating with participants to prepare profiles.  
  • Contributing to academic publications where appropriate and relevant.  

​The post is located within the Centre for Research Staff Development, where you would work in a small team, reporting to the team's Research Staff Development & Engagement Consultant, Dr Natasha Rhys.   

This post is offered on an hourly basis and is flexible. All candidates for the post should outline in their application the number of hours per week they would wish to work. The post duration is dependent on the number of hours/days worked, with up to 500 hours available. We will also consider job sharing. 

If you have any questions about the post and the project, please email Dr Natasha Rhys (Research Staff Development & Engagement Consultant) via natasha.rhys@kcl.ac.uk.  

 

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting the 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.



Qualifications

Significant experience at PhD and/or post-PhD level in the social sciences or another relevant subject is preferred. 



Skills

Skills & Attributes 

  • Experience in conducting qualitative research interviews. 
  • Application of both qualitative and quantitative research methods, specifically those applied in social research, data management, and statistics. 
  • Strong interpersonal skills, both orally and in writing. 
  • Excellent and concise writing skills. 
  • Ability to review documentation and clearly articulate salient points to different audiences. 
  • Confidence and ability to work flexibly. 
  • Ability to work independently where needed. 

Knowledge 

  • ​Experience of the research environment, e.g. holding a PhD or otherwise working in research or related field.
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The applicant will support an educational research project in the Faculty of Dentistry, Oral and Craniofacial Sciences. The research involves analysing data collected from a dashboard including teacher feedback, student feedback and self-reflections.

The role includes conducting thematic analyses and working with quantitative data. The successful candidate will be supported in developing their qualitative and quantitative research skills through guidance towards self-directed learning resources and ad-hoc training to enhance their expertise. 

The Research Assistant will contribute to generating meaningful insights to inform educational practices, particularly in assessment and feedback.

Key responsibilities:

  1. Clean, process and manage datasets from multiple excel sources for analysis.
  2. Provide quantitative and qualitative research support.
  3. Assist in conducting thematic analyses to identify themes from qualitative data.
  4. Perform quantitative analysis of student grade performance.
  5. Participate in discussions, communicating and presenting research at meetings.
  6. Contribute to writing reports, presentations and academic publications.


Qualifications

A third-year undergraduate student or above in any subject area.



Skills

Desirable skills: 

  1. Knowledge of qualitative and quantitative research methods and techniques 
  2. Some understanding of thematic analysis and experience in working with large datasets. 

Required skills:

  1. Basic knowledge of excel.
  2. Ability to work independently and collaboratively remotely.
  3. Ability to manage tasks and deliver results under tight deadlines.
  4. Strong work ethic, commitment to data accuracy.
  5. Ability to work with limited supervision.

To provide practical and emotional support to assist a student on the autism spectrum in taught sessions (lectures, seminars and labs). To support the student with explaining tasks and providing mutual regulation strategies that will ensure widening participation and access, academic progress and student retention in compliance with the Equality Act and the mission of Student Services.

This role is 9.5 hours a week distributed as below:

  • Monday 2.5 hours: 10-11am; 12-1pm (IT class); 2pm-3:30pm
  • Tuesday 3 hours: 11-1pm; 4-5:30pm
  • Wednesday 1.5 hours: 9- 11am
  • Thursday 1.5 hours: 10-11:30am (lab)

There will be breaks in between taught sessions.



Qualifications

Minimum of 5 GCSEs (or equivalent) at Grade A-C including English and Mathematics - Essential
A level qualifications (or equivalent), or equivalent relevant experience - Essential
Educated to degree level in a relevant field or equivalent experience - Desirable 
Relevant further educational or professional qualifications e.g. Mental Health First Aid. - Desirable
 



Skills

Experience

  • Experience of studying in Higher Education - Essential
  • Knowledge of autism spectrum condition - Desirable
  • Some experience/understanding of providing support for individuals on the Autism Spectrum - Desirable

Skills

  • Knowledge of SCERTS/Autism Spectrum Condition - Desirable
  • Mutual Regulation strategies: e.g. deep pressure techniques, grounding and breathing strategies - Desirable
  • Thorough knowledge of the campus - Essential
  • Awareness of disability issues ? recognising the most effective method of communicating during periods of dysregulation - Essential

Attitude

  • Outgoing; great interpersonal skills - Essential
  • Must be able to work calmly under pressure - Essential
  • Must be able to support and manage fluctuating behaviours - Essential
  • Must be willing to attend relevant training sessions arranged by the Disability and Dyslexia Service - Essential

Other - All essential

  • Flexible working timetable
  • This post is subject to a basic DBS check.
  • The ability to meet UK ?right to work? requirements

Job Title:  Digital Fingerprinting Feature Engineering 

Nvidia CSIT Cyber-AI hub intern in feature engineering (up to a maximum of 15 hours per week for 20 weeks). 

The successful candidate will be working as an intern with the Nvidia CSIT Cyber-AI Hub project team on preparing data from multiple sources for AI training. This includes proper data storage, organization, cleaning and feature engineering/preprocessing tasks. 

The candidate will help to improve the current feature selection and engineering process for the development of the behavioral model proposed by the team. In addition, and upon obtaining successful results, the candidate is expected to assist with the integration of the software in the Nvidia Morpheus github page. 



Qualifications

Degree in Computer Science or in a relevant field. 

Have, or be about to obtain an artificial intelligence related postgraduate degree. 



Skills

Essential criteria: 

In depth knowledge of Artificial Intelligent/Machine Learning concepts 

Experience in data management for AI training. 

Understanding in networking and security best practices. 

Strong programming skills (Python) 

Proficient Linux/Windows skills. 

Desirable criteria: 

Experience with ML projects including feature engineering 

Understanding of cyber security concepts, e.g. Cyber Kill Chain and Defense-in-depth. 

Knowledge in the MITRE ATT&CK framework and other threat modelling tools. 

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