Role 1- Teaching Fellow - Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM)
We are recruiting Biologists studying Ecology, Evolution and Genetics using Data Science and AI approaches. We are significantly investing and contributing to the AI world of today and tomorrow - and this investment brings a fantastic opportunity for seven Teaching Fellows to join us at the Centre of Excellence on a permanent basis.
The ideal candidates will have excellent communication and personal supervision skills and be able to engage, motivate and support students. They will be expected to make significant contributions to supporting the academic progress of students, to support teaching, and to deliver a positive impact on the student experience. Preference will be given to candidates who are able to provide teaching support across a number of subject areas relevant to DAIM and who complement and enhance the overall disciplinary balance within DAIM.
Ultimately, we are an education institution - it's our bread and butter! Ideally you will hold a good degree, and a PhD or equivalent, with experience in teaching and research. However, we also recognise the value that significant and relevant work experience can bring to an individual's skill set, particularly, if you have experience in at least one aspect of Data Science, Artificial Intelligence, or Python programming.
Teaching Fellows will contribute to support of students in a pastoral role, undertake computer laboratory work, and will create and supervise student projects. They will contribute to the delivery and administration of assessment activities. The University of Hull embraces e-learning technologies, the post holders will be expected to fully engage with our virtual learning environment in addition to working with students in person.
We are delighted to be in a leading position during this latest industrial revolution, and to be able to recruit the future education, research, and business-interfacing leaders of tomorrow. We hope that you feel inspired to come and join us.
The role of Teaching Fellow is being advertised at band 7 and band 8. Please click below which role you wish to apply for. If you wish to be considered for more than one band, you will need to submit a separate online application form for each position.
To discuss this role informally please contact Dr Kevin Pimbblet (Director) at k.pimbblet@hull.ac.uk
https://jobs.hull.ac.uk/Vacancy.aspx?ref=UOH-TA-0022
Role 2 - Lecturer in the Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) - Medicine and Health
We are significantly investing and contributing to the AI world of today and tomorrow - and this investment brings a fantastic opportunity for a Lecturer to join us at the Centre of Excellence on a permanent basis.
The ideal candidate will build our research and knowledge exchange strengths within DAIM, along with enhancing academic support and teaching provision for our students. After all, you'll be educating the next generation of data scientists and artificial intelligence practitioners, responding to the increasing need in this field, and conducting high quality research which cuts across traditional disciplinary departmental and faculty boundaries.
We are looking for outstanding individuals with expertise in data science or systems biology as applied to large complex data sets with the life sciences, to support specialist areas within the Hull York Medical School.
We are particularly interested in hearing from applicants who have an interest in Artificial Intelligence or Data Science coupled with qualifications and skills that suit the following specialist areas:
We are looking for outstanding individuals with expertise in data science or systems biology as applied to large complex data sets with the life sciences, to support specialist areas within the Hull York Medical School.
We are particularly interested in hearing from applicants who have an interest in Artificial Intelligence or Data Science coupled with qualifications and skills that suit the following specialist areas:
- Analysis of large 'omic data-sets, including single cell RNASeq, nanopore sequencing, hypernetwork analysis, transcriptomic and epigenomic modelling and RNA Velocity
- Interrogation of proteomic data sets and alignment to transcriptome
- Experience of metabolomic data and network modelling
- Leveraging artificial intelligence and machine learning in
- image analysis
The role of Lecturer is being advertised at band 7 and band 8.
If you wish to be considered for more than one band, you will need to submit a separate online application form for each position.
