Research Assistant

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. 

Degree in Computer Science or in a relevant field. 

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

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. 

Working with the Director of HR Operations, Head of Contingent Workforce and Procurement Directorate, this role will be responsible for sourcing, collecting, organising, analysing and interrogating all recruitment related spend category data. Findings will be reconciled to recruitment outcomes so that the spend can be attributed to contingent worker salaries and fees, agency placement fees and advertising related recruitment costs, with the overall aim to reduce spend on non-permanent agency costs. All data and analysis to be the presented and translated into information and insight that meets the needs of various stakeholders across the university and will contribute to a drive to reduce overall costs.  

This is a hybrid position, you will be expected to work in the office 2 days per week. 

None

The job holder will source and gather data from known/standard sources - manipulating routine data so it can be interpreted by others. They may be required to select the most appropriate procedure, technique or approach to conduct analysis and research, deciding how to undertake the work as well as analysing, identifying, and interpreting trends. The job holder will be expected to have excellent understanding of specialist tools to extract the data needed as well as an advanced knowledge of Excel, Power BI, Tableau etc. 

•  Work with HR and Procurement teams to investigate and identify all agency and advertising recruitment spend using a variety of systems and platforms. 
• Work with the Recruitment advisers to ascertain the actual status and outcome of all current vacancies.  
• Collaboratively work with internal and external stakeholders to investigate and review the data required to complete the objective of reducing agency spend within Kings for non-permanent staff. 
• Identify activity data for each vacancy advertisement, including views, impressions, applications, shortlisted candidates, and placements, to ascertain value for money and inform future decisions. 
• Produce visualisations and reports (using tools like Tableau, Power BI, and SQL) and present findings to both technical and non-technical stakeholders in a clear, actionable manner showing usage data and trends to inform future sourcing and hiring decisions.  
• Create data dashboards, graphs and visualisations 
• Work with the recruitment team to incorporate data capture and analysis.  
• Support Manager with data analysis for all activity with all external providers. 

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post. 

Essential criteria 

​Experience using PowerBI for data analysis and reporting   

​Strong technical skills in data analysis, optimisation, and dashboard creation.  

​Strong analytical skills, with the ability to interpret and synthesise large data sets.  

​Experience of collaboratively working with internal and external stakeholders. 

​Excellent communication and problem-solving abilities.  

​Problem-solving skills with the ability to troubleshoot data issues and improve reporting processes.  

​Strong attention to detail and commitment to data accuracy. 

​Desirable criteria 

​Experience in the higher education sector or a similar environment.  

​Experience working with other data visualisation tools and methodologies. 

Background 

The Sustainable Research Team and Biosciences Education Team have received funding from Education for Sustainability team to work together to develop resources to embed sustainability into the bioscience's undergraduate curricula.  

As scientific researchers, we have an ethical responsibility to reduce the environmental impact of our work. Laboratories consume between three and ten times more energy per square foot than office spaces, and biological and medical research contributes significantly to global plastic waste. Current bioscience students at King's College London (KCL) receive minimal exposure to sustainable practices in labs until they progress to further studies or work. Integrating sustainability concepts into the curriculum from the start will equip students with essential skills, preparing them to incorporate sustainable approaches in their future research. 

Part of this fund is allocated to hire TWO Sustainability Research Assistants to help perform the key tasks of the project during 4 hours a week. Please ensure you have your supervisor's support to take part in this project as the working hours will typically be Monday-Friday 9-6pm.  

Responsibilities  

Conduct a systematic review of sustainability teaching in the biosciences and similar fields to understand existing content and research.  

Utilising this review, conduct surveys and focus groups with undergraduate biosciences students to identify learning gaps in sustainability and preferences for delivery of content.  

Analyse survey responses and make suggestions for learning outcomes and delivery methods of new sustainability content in the bioscience curricula.  

Organise and host an away day bringing together module and programme leads, technical staff and other stakeholders involved in the biosciences courses to understand where to place new content, and analysing outcomes from the day.  

Develop initial resources for content in years 1, 2, and 3 and gather feedback from students on content and delivery proposals.  

Organise and host a final workshop with academic and technical staff to demonstrate use of new resources.  

Coordinating with project lead- Sustainability Innovation Lead (Research) Dr Marcelo Salierno  

An undergraduate degree in a wet laboratory-based science.  

You will have..... 

Knowledge  

Essential: Bioscience and laboratory skills including understanding of contamination and waste  

Desirable: Knowledge of sustainable science or the LEAF programme, including knowledge of using resources efficiently including equipment and consumables, water and energy use.    

Experience  

Essential: Demonstrating experience or lecture experience in bioscience or chemistry lab practicals 

Essential: Experience performing literature reviews.   

Skills  

Essential: Able to use their initiative and work independently  

Essential: Able to work to tight deadlines as this project is only funded for 6 months.   

Desirable: Writing qualitative surveys