Research Associate in Data Analytics
Faculty/Area: Faculty of Science and Engineering
School/Department: Department of Computer Science and Technology
Subject Group/Team: Computer Science
Salary: £35,326 to £40,927 per annum
Fixed Term / 12 months
Post Type: Full Time
Closing Date: Thursday 03 February 2022
Background and Context
This job opening is for a postdoctoral Data Scientist to work in an applied AI
context with academics from the University of Hull and two commercial partners
towards an adaptable AI-based information extraction system. The aim of this
project is to develop a text analysis system that can efficiently extract key
information from large unstructured text collections to increase the value of
We specifically target a multi-domain setting that leverages novel machine
learning methods and linguistic prior knowledge to overcome issues in data
sparsity and bias. This will be achieved through a “human in the loop”
learning scenario that adapts pre-trained models to new commercial domains in
an efficient domain transfer approach that makes use of interactive feedback
from end users.
The successful applicant is expected to lead on the research aspect of this
project and will work in collaboration with software developers at the
commercial partners and Research Assistants at the university to embed the
applied solution into a commercial context.
This project requires excellent programming skills and demonstrated experience
in successfully designing, developing and maintaining larger software
projects. Time management and self-guided learning are essential. Good
theoretical and applied knowledge of data analytics, AI and machine learning
are essential, experience in natural language processing is a plus.
To discuss this role informally please contact Dr Nina Dethlefs
For information about the Department of Computer Science and Technology,
please visit https: // www. hull.ac.uk/faculties/departments/department-of-
At Hull we are committed to equality of opportunity, diversity and
inclusion at every level, because we believe a diverse workforce brings
broader expertise, improved innovation and greater success for all.
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