SGDP Reception Assistant

Job Description

This role is offered on a part time basis (20 hours per week), Mon-Friday (4 hours per day) and will provide general admin support to both the SGDP Senior Department Officer and SGDP Reception Manager.



The SGDP Centre (Social, Genetic and Developmental Psychiatry) is located at the King's College London, Denmark Hill Campus at the Institute of Psychiatry, Psychology and Neuroscience. SE5 8AF.



The primary activities related to this role will be assisting the SGDP Reception Manager covering a busy Reception Desk. This involves dealing with staff and student enquiries, answering the telephone, assisting with deliveries, post, couriers, contractors and visitors.



The post will also include:



Management of SGDP mailing lists (training provided)

Management of SGDP MS Teams site (training provided) - uploading/updating documents, adding new members

Reporting of faulty/damaged facilities/equipment via the KCL Estates and Facilities helpdesk (training provided) Liaising with E&F (post, furniture moves, deliveries).

Email enquiries - general enquiries relating to the above, departmental circulars as required.



Qualifications

N/A



Skills

Good communication skills, high levels of customer service, ability to prioritise workload. Experience of Outlook, Powerpoint, Excel and other Office based IT packages (to a basic level)



Reception or other customer service experience preferred but not essential.

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Library Services are recruiting a Student Assistant to assist with the creation of social media content. In this role, you will help enhance Library Services’ online presence, engaging with our diverse community, and improving customer experience across various digital platforms.



Key Responsibilities:




  • Assist with the development and implementation of communications campaigns promoting various library services and initiatives.

  • Create engaging content for the Library’s social media channels (Instagram, X, Facebook).

  • Produce visually appealing graphics, videos, and other multimedia content for social media and other communications platforms.

  • Contribute to the work of the Library’s Social Media Group.

  • Liaise with the #LoveQUBLibrary team to create content promoting engagement events.

  • Ensure all content aligns with the University's brand guidelines and messaging strategies.

  • Monitor social media trends and analyse performance metrics to measure the effectiveness of campaigns and engagement.

  • Conduct usability testing and gather customer feedback to identify areas for improvement.



Qualifications

N/A



Skills

Essential Criteria:




  • Registered student at Queen’s University Belfast for academic year 2023-2024 and for the full period that the post is available, otherwise the application will not be considered.

  • An understanding of different social media platforms and content.

  • Proficiency in creating multimedia content (images, infographics, videos, GIFs, reels etc.) and use graphic design tools (Canva).

  • An interest in and willingness to undertake UX exercises and gather customer feedback.

  • Excellent written and verbal communication skills.

  • Good organisational skills and experience of scheduling workloads in advance.

  • Demonstrable evidence of an ability to work independently and as part of a team.

  • Creative mindset with an eye for detail and accuracy.



Desirable Criteria:




  • A qualification or degree in a related field – e.g., marketing, communications, digital media.

  • Experience in social media management or content creation in an organisation in either a paid or voluntary capacity.

  • Prior experience in undertaking UX activities to gather customer feedback.



Please submit a CV and cover letter demonstrating clearly how you meet the criteria by 5th January 2024. Only shortlisted candidates will be contacted for an interview.

Research Assistant – sample size investigation for clinical texts classification using NLP



A team in BHI is looking for a motivated research assistant to work on a project investigating optimal sample size for Natural Language Processing (NLP) classification tasks that require manual annotations. The tasks involve:



·       running simulations using deep learning models to investigate model performances in various language settings and training corpora sizes;



·       developing a GitHub project page and a well-documented code;



·       participating in dissemination activities (e.g. preparing and participating in an interactive online seminar).



A successful candidate can start as soon as possible and work till the end of July, in a collaboration with myself, Angus Roberts, Jaya Chaturvedi, and Daniel Stahl. The hours (14h/week) can be worked as two full days or spread over the week, remotely or in the office (Denmark Hill). Please write to diana.shamsutdinova@kcl.ac.uk to express your interest.



Project Description: Natural Language Processing methods are widely applied to extract information from clinical texts and present it in a structured way. However, unlike in statistical data analyses, there are no methods available for estimating the sample size needed. Our project aims to assess optimal sample size for the development of clinical NLP models and how these requirements change depending on the documents and language properties. By taking a simulation approach and following modern guidance on model validation, we will be able to investigate model performances in various scenarios and provide guidance on sample sizes for clinical NLP tasks.



Qualifications

The role is suitable for a current MSc/PhD student/postdoc/early career researcher in Computer science, Engineering, Health Informatics, Statistics, or a related field.



Skills

·       Strong analytical skills;



·       Knowledge of Python programming language;



·       Understanding model validation techniques such as cross-validation and evaluation metrics such as AUC-ROC/sensitivity/specificity/precision, 



·       Ability to work independently and in a team.

King’s Health Partners Women and Children Health are looking for an administrative assistant to support the services we provide.



The candidate would be expected to complete a range of office duties, including:




  • Arranging regular and ad hoc meetings as required by the team (virtual and room bookings)

  • Providing secretariat support for work stream meetings, Executive and Programme boards

  • Managing the shared file management system

  • Coordinating recruitment and onboarding for undergraduate interns and civil service secondees – with responsibility for coordinating induction equipment and introductions

  • Coordinating and facilitating the delivery of research skills clinics, research seminars  and various education and training courses provided through a partnership with King’s College London

  • Providing secretariat and coordinating support for research projects delivered through our Ask the Institute rapid advisory service.



This is a full-time role that could last for 4 to 12 weeks.



You will report directly to the programme manager and work collaboratively across the King’s Health Partners Women and Children’s Health Clinical Academic Partnership.



Qualifications

3 A Levels (Desirable)



Skills

We are looking for a candidate with the following skills:




  • Experience in event and office space management, with an eye for detail

  • Good IT skills and the ability to pick up new digital systems quickly – must be comfortable using Microsoft Office, including Teams.

  • Strong organisation and prioritisation skills and the ability to deliver objectives on time

  • Capable hybrid worker who can convey information creatively and clearly in person and online

  • Self-sufficient team player able to adapt to different environments and people

  • Ability and confidence to spot and suggest improvements to processes

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