Machine Learning Guest Speaker

Job Description

The team at the King's-Bolashak & 500 Scholars Programme is looking for a suitable candidate to deliver a series of bespoke lectures to a cohort of overseas professionals. The ideal candidate should be able to deliver up to 8 sessions of a length of up to 3 hours each that will cover the essentials of machine learning, supervised and unsupervised learning algorithms, kernel learning and neural networks.

The sessions are expected to be delivered between the months of February and April 2025 on a weekly basis. The selected candidate will work alongside the rest of teaching and administrative in the coordination of the learning calendar and the tailoring of the session's content for a true bespoke experience.

The teaching will be delivered to a cohort of adult overseas professionals and will be done face-to-face at our facilities in the Waterloo Campus.



Qualifications

Essential:

  • A MSc or higher degree in Computer Science, Data Analysis or a related field.

 

Desirable:

  • PhD in Computer Science, Data Analysis or a related field.
  • Qualification in teaching in Higher Education.


Skills

The ideal candidate should have knowledge and experience in the following topics:

  • Basics of machine learning 
    • Historical perspective
    • Supervised vs unsupervised learning
    • Deterministic vs probabilistic models
    • Classification and regression problems
  • Supervised learning
    • Regression methods
    • Classification methods
    • Decision trees for regression and classification
    • Ensemble methods
    • Parameter tuning
  • Unsupervised learning
    • Clustering (k-means, EM, spectral clustering)
  • Kernel learning
    • Creating non-linear algorithms by ?kernelization?
    • Support vector machines for classification and regression
  • Neural networks
    • Neural network architectures
    • Neural network training

 

In addition to this, it is a desirable criterion that the candidate has some teaching experience in the area of machine learning in higher education.

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Qualifications

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Skills

Experience in delivering CARE training and in medication adherence research

Grant writing for large creative health grant.  



Qualifications

PhD or equivalent 



Skills

Five plus years in creative health sector 

Recruitment of Research Assistant

(0.2FTE for 5 weeks-with flexibility)

Audit & Evaluation of written assessment feedback for BSc midwifery students 

Who we are looking for

Are you currently registered as a Doctoral student at King?s?

Do you have experience in qualitative research?

If the answer to these questions is yes- we are looking for you!

Context of the post

We are looking to appoint a current registered Doctoral student at King's College London to work with a multidisciplinary team from the department of Midwifery and King?s Academy on a project funded by the College Education Fund looking to undertake an audit and evaluation of written assessment feedback for BSc Midwifery students. Looking at the student experience of assessment, this project will design an audit tool to undertake review of written assessment feedback given to students after summative assessment submission for students on the BSc Midwifery curriculum.

The project will focus on students where there has been evidence of an attainment gap in higher education (such as students from a minoritised ethnic group and those with  a SpLD) but will be of whole-cohort benefit. There will be 2 workstreams for the project;

  1. Literature review, and development of the audit tool as part of a codesign process with students and educators
  2. An audit of feedback on global assessment across the midwifery programme

Typical paid duties will include:

  • Assisting in building the evidence base for the project, by reviewing the literature on assessment feedback practices in higher education pre-registration healthcare programmes.
  • Writing up findings into a literature review

 Eligibility, hours and pay

To apply, you need to be a current registered Doctoral student at King's College London. 

We expect the role to run November 2024-Feb 2025, however there should be flexibility to allow for project needs to be met. Work is not expected to go beyond Feb 2025.

This post will be paid at a Band 5 salary on a weekly basis. It is anticipated that the hours will be on average 7-7.5 per week (some weeks may be slightly more, some less).

You will be hired on a King's Talent Bank hourly paid contract, and they will undertake a Right to Work check. You will need to ensure that taking on this role is not in breach of King's policies or any funding or immigration conditions.

Support provided

You will be expected to work autonomously, but will have support, including:

  • A project induction including from a member of the study team.
  • The Research Assistant will have one-to-one mentoring meetings with one of the project leads (depending on requirements of the work) 

 Encouraged not to use BAME anymore...i have tried to rephrase this a little...happy for your to ignore!



Qualifications

Registered Doctoral student at KCL with the Faculty of Nursing, Midwifery and Palliative Care



Skills

Core skills, knowledge and experience required

(E-essential, D-desirable)

  • Experience in qualitative data collection, analysis and write up (E)
  • Understanding of undertaking academic literature review (E)
  • Interest in / knowledge and understanding of Equality, Diversity & Inclusion and diverse student needs (E)
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