Senior Research Associate in Artificial Intelligence and Digital Humanities

  • Lancaster University
  • Lancaster, UK
  • 02/05/2022
Full time Data Science Machine Learning Business Intelligence Artificial Intelligence Statistics

Job Description

Job details

£35,326 - £40,927 a year
Job type

Full Job Description

The Department of History and the Digital Humanities Centre at Lancaster University are seeking to appoint a Research Associate in Artificial Intelligence and Digital Humanities with a focus on Machine Learning for historical documents. We are looking for a talented research engineer, data scientist, or computer scientist to join our AHRC-NEH funded ‘Unlocking the Colonial Archive: Harnessing AI for Indigenous and Spanish American Collections’project ( We are researching and developing computational methods for identifying, extracting, and analysing historical information of the future. You will join an international interdisciplinary team of scholars creating direct pathways of impact on the ways historical research is done.

You will work with Prof Patricia Murrieta-Flores, Dr Javier Pereda (LJMU), ML industry partners, and collaborators at the University of Texas at Austin, among other universities to design approaches and experiments using image processing and text recognition with machine learning techniques. You will have a relevant postgraduate degree and expertise in machine learning to drive the implementation of computer vision systems in archival discovery.

You should have experience in Python programming (libraries like Numpy, Pandas, Scikit-learn) and/or R, Machine Learning (Convolutional/Recurrent, Transformers, GAN/cGAN, BigGAN networks), Supervised/Unsupervised algorithms (annotations, training/evaluation, Transfer Learning), Object detection and recognition. Object to Object interaction, Data augmentation libraries, Keras/Tensorflow or Pytorch libraries, Computer Vision (OpenCV library), Classification/Regression algorithms, SSD models (Inception, Mobilenet, YOLO), Images processing techniques (filters, morphological analysis, histograms, vectorial images, contours, homography transform), Image to Image translation, Style transfer techniques

You will be involved in an exciting international interdisciplinary research environment as part of the Lancaster Centre for Digital Humanities ( You will contribute to journal publications from the research produced, enjoy strong mentorship on future career pathways and funding capture, and get industry experience working closely with our partners.

This is a full-time appointment. You will join us on an indefinite contract however this role remains contingent on funding which is for 17 months at this time, starting 22 Jul or as soon as possible after that. We particularly encourage applications from Black, Asian and/or Minority Ethnic backgrounds.

Informal enquiries are welcomed and should be made to Professor Patricia Murrieta-Flores, Chair and Co-Director of Digital Humanities, e-mail:

You can visit the Department of History’s webpage at: