CCT Event Assistant

Job Description

CCT



Qualifications

None



Skills

Event

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The role will support the Catering Services & Events. Provide a professional and competent level of service to all customers working closely with the catering team to ensure that the agreed services are delivered on time to the required highest standards. The Department has a strong commitment to customer Service and aims to ensure best value for money for its customers and the college as a whole.

You will be responsible for the setting of the conference and event facilities to the agreed specification, movement, handling and setting of all equipment from banquet tables and chairs, staging and cutlery/crockery as well as regularly deal with bar stock control, rotation and wastage.

You will work across a to all hospitality events, coffee shops on our Guy campus but be flexible and able to work in any of the King's College Campuses including caf?, catering and hospitality services.

  • Respond to requests for information from customers in accordance with College policies.
  • Actively promote and sell the catering services to customers.
  • Improve the effectiveness and efficiency of service delivery within the department


Qualifications

Educated to GCSE standard or equivalent

Hospitality & Catering knowledge desired



Skills
  • Assist in the preparation, presentation of food, set up, breakdown and general cleaning duties within the catering and event spaces.
  • To provide excellent performance in customer service at all times to students, college staff, and visitors.
  • Have a great eye for detail and exemplary personal presentation.
  • To be knowledgeable.
  • To be inclusive.
  • To be naturally friendly.
  • To continuously grow our service delivery.
  • To deliver quality service standards.
  • To be able to adapt to quickly changing situations
  • To deliver world class services for a world class university.

The Knowledge Graphs Lab at the Department of Informatics of King?s is looking for two enthusiastic research assistants (RAs) to join us during 1st July - 5th September (ideal as a summer job) to help us complete an ambitious Horizon Europe research project on Generative AI and Cultural Heritage.

Each of the RA will work independently on two different branches of work:

* Branch 1. An extension of CUBE-MT, a multimodal knowledge graph benchmark that uses Generative AI to widen the representations available for cultural heritage objects in Wikidata. This is in itself based on CUBE, a benchmark for text-to-image ML models in cultural awareness (https://www.arxiv.org/abs/2407.06863). The RA will work in adding more artworks to the current CUBE-MT work, adapting the Python code pipeline and building a UI/UX for demonstration purposes. The RA will also have the responsibility of writing technical documentation in a project deliverable.
* Branch 2. The publication of a recent dataset we have created (https://www.albertmeronyo.org/wp-content/uploads/2025/05/LAW_ACL2025_Semantic_Drift-1.pdf) with annotations on semantic change in disability sources to the Dataverse (https://dataverse.org/) platform. The RA will reuse and extend our Python data interface to make this upload possible, as well as adapting it to also upload CUBE-MT (branch 1) assets. The RA will also build a UI/UX for demonstration purposes, and will also have the responsibility of writing technical documentation in a project deliverable.

The two branches work in tandem in terms of timelines, but they're almost completely independent. The two RAs will report regularly to the PI (Albert Mero?o) to make sure work is on track, but they will be expected to take responsibility for the work, have a pro-active role in solving issues, and independently make well-informed decisions. The work will develop in 18h/week (~3 days/week) over a period of 10 weeks, so around 180h of work in total for each RA.



Qualifications

See above



Skills

Essential criteria

* Excellent, demonstrable Python programming ability
* Excellent use of APIs and understanding of API documentation
* Excellent written communication for technical reporting
* Good ability in designing quick but effective UI/UX demonstrators
* Good understanding of Data science
* Well spoken communication skills
* Interest in Generative AI and Natural Language Processing
* Interest for research and for starting to build a research CV

Search and compile academic literature on digital transformation (in SMEs)



Qualifications

Academic literature research



Skills

MSc Degree. PhD candidate

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