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Enrolment Data Entry Clerk

£28,314 - £28,314
 

Job Description

Purpose of Job:

The University enrols and re-enrols the majority of its students during August & September. Data input staff are  required to update the records of both new and re-enrolling students ensuring accuracy so that students are registered on the correct programs, are charged the correct fees and to inform our funding and statistical returns.

 

Main Roles & Responsibilities:

  • To update student records according to defined procedures and build tuition fee invoices
  • Other duties may involve assisting the Team Leader when required; checking and creating sponsor details for invoicing; scanning enrolment documents and/or saving scanned records, batching enrolment forms and any other relevant duties


Qualifications

Not applicable



Skills

Selection Criteria:

  • IT literate with the ability to quickly understand the operation of database systems
  • Fast and accurate data input speeds (min 6000 keystrokes per hour)
  • Ability to transfer data from input documents
  • Good team worker
  • Flexibility
  • High standard of English
  • Able to grasp the concept of what we are trying to achieve in enrolling and re-enrolling students, gathering data to inform funding returns and update student records in a timely and accurate manner 
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This is an exciting opportunity to join Phase 2 Innovate UK-funded CyberASAP project CyDRA aiming to address Risk Assessment in Transactions under Security Threats. This role focuses on the development of a desktop software application to address complex challenges in securing critical infrastructure and industrial systems. The ideal candidate will have a strong background in OT security, IIoT, and software development, with a deep understanding of threat modelling, risk analysis, and security architecture design.

Key Responsibilities:

  • Model Transactions Under Security Threats: Develop software solutions to simulate transactional processes within systems exposed to security threats, enabling an accurate representation of vulnerabilities and attack vectors.
  • Design Security Architecture and Behavior Analysis: Create tools to design and evaluate security solutions, analysing the behaviour of both systems and potential adversaries through simulated transactions.
  • Risk Calculation: Implement algorithms and methodologies to calculate security risks based on input from security analytics, helping stakeholders prioritise and address vulnerabilities effectively.
  • Impact Analysis: Develop capabilities to assess the influence of proposed security infrastructures on overall system risk, ensuring solutions are effective and efficient.

 



Qualifications

First Degree in Cyber Security or closely related discipline
Desirable: Current MSc/PhD in AI or Cyber Security



Skills
  • Proficiency in OT security and IIoT domains, with experience in threat detection, neutralization, and prevention.
  • Expertise in security risk modeling, analysis tools, and simulation methodologies.
  • Strong programming skills in developing desktop applications, with a focus on robust design and user-friendly interfaces.
  • Ability to understand complex industrial processes and integrate them into software models for security infrastructure planning.

We are seeking a motivated and detail-oriented Research Assistant to support the SSPP POLIS REF Impact lead in conducting research related to REF 2021 Impact submissions, with assisting the culture and environment statement and helping with managing communications. We are looking for a recent PhD graduate or a current PhD student with a strong interest in research impact, higher education assessment frameworks, and policy-related research.



Qualifications

N/A



Skills

Experience in policy and/or education research desirable

This short-term opportunity is for a research assistant to work on data analysis for the Pre-pregnancy Care for Women with Type 2 Diabetes (PREPARED) study, based in the Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care.  This is a remote-working position and will involve analysing clinical data using R.



Qualifications
  • MSc in Public Health or similar


Skills
  • Competent using R
  • Skills in statistical analysis of clinical data
  • Familiar with terminology relating to diabetes, diabetes medications, pregnancy and reproductive health
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