Update recruitment.md

Author: kevin-ssy

pages/recruitment.md

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-### Postdoctoral Research Assistant in Hydrogen Production Chemical Reaction Mechanisms
-[Apply](https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_applicant_no=&p_display_in_irish=N&p_form_profile_detail=&p_process_type=&p_recruitment_id=173074&p_refresh_search=Y&p_internal_external=E&p_company=10&p_display_apply_ind=Y)
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-We are seeking a full-time Postdoctoral Research Assistant in Hydrogen Production Chemical Reaction Mechanisms to join Torr Vision Group at the Department of Engineering Science (central Oxford).  The post is funded by the SCGC-FIRST Innovation Award and is fixed-term for 1 year.
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-We aim to develop cost-effective, carbon-neutral hydrogen production via ammonia synthesis and decomposition, using Reinforcement Learning to understand the chemical reaction mechanisms. Green ammonia production is crucial for achieving net-zero emissions, with its storage and distribution supported by existing infrastructure.
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-Our primary objective is to enhance the cost-effectiveness of ammonia synthesis and decomposition processes. Despite the recognized importance of ammonia synthesis, evidenced by three Nobel Prizes, its reaction mechanisms remain not fully understood.
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-To address these gaps, we are utilizing AI to autonomously identify chemical reaction mechanisms. Our approach combines deep learning for predicting potential energy surfaces and reinforcement learning for mapping reaction pathways, aiming to accurately identify reaction mechanisms and their energy profiles.
-You will be responsible for demonstrating AI’s role in chemical research, developing and implementing novel methods for interpretable, safe, and aligned machine learning systems.
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-You should possess a PhD or DPhil (or near completion of) in Machine Learning. You should have knowledge of Analyzing and interpreting experimental data and AI in research. You should have the ability to manage your own academic research and associated activities.
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-Informal enquiries may be addressed to Professor Philip Torr (email: philip.torr@eng.ox.ac.uk)
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-For more information about working at the Department, see
-www.eng.ox.ac.uk/about/work-with-us/
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-Only online applications received before midday on 21st June 2024 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
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-The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. 
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-<!-- There are two postdoc openings now in our group.
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-### Novo Nordisk Postdoctoral Research Fellow
-[Apply](https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=171279)
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-Novo Nordisk is funding a prestigious fellowship programme at the University of Oxford for basic science researchers focused on diabetes and other cardiometabolic diseases. We are looking to recruit five outstanding postdoctoral researchers who can utilise the support offered by this programme to become future leaders in the field, developing scientific excellence and ultimately improving patients’ lives.
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-In Oxford, world-class research is conducted across the spectrum of population, clinical and basic science. Depending on the project selected, you will be based in:
-1)     Institute of Developmental and Regenerative Medicine
-2)     Department of Physiology, Anatomy and Genetics
-3)     Sir William Dunn School of Pathology
-4)     Department of Chemistry
-5)     Department of Engineering Science
-6)     Division of Cardiovascular Medicine, Radcliffe Department of Medicine (RDM)
-7)     Nuffield Department of Clinical Neurosciences
-8)     Oxford Centre for Diabetes, Endocrinology and Metabolism, RDM
-9)     The Kennedy Institute of Rheumatology
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-There is also the opportunity to spend time in the research facilities of Novo Nordisk (both in Oxford and Denmark). This distribution of time will depend on the specific project.
-You will be responsible for conducting the research project selected, including the production of novel scientific data and presentation at national and international meetings.
-You should have a PhD/DPhil (completed or close to completion) in a biomedical subject, or other relevant subject, together with skills and experience relevant to biomedical research. You will typically have no more than three or four years of postdoctoral experience at the start of the fellowship (Autumn 2024) and have a strong CV, having published in peer reviewed journals and presented at international meetings. As well as an enthusiastic interest in the projects you select, you will have evidence of excellent interpersonal skills and leadership, with the ability to communicate research ideas and results in a clear and logical way.
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-This is a full-time post offered for a fixed-term of three years.
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-Owing to the nature of the research, this job will require additional security pre-employment checks: a satisfactory basic Disclosure and Barring Service check; University security screening (e.g. identity checks).
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-You will be required to upload a supporting statement, CV and names of referees as part of your online application. Your supporting statement should include your ranking of up to three research projects that you are interested in, giving reasons for your particular selections.
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-Further information is detailed in the job description.
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-The closing date for applications is midday on Monday 15 April 2024 and interviews will be held on Monday 10 June 2024.
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-### Postdoctoral Research Assistant in Machine Learning
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-[Apply](https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=171003)
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-We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford).  The post is funded by Microsoft and is fixed-term for 3 years until April 2027.
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-This is an industry collaboration project aimed at advancing the research into the use, extension and optimization of multi-modal large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long term histories, automatic extraction of relevant data from noisy observations.
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-You will be responsible for developing and implementing novel methods for screen and video understanding, user interaction understanding, planning and intent prediction with multimodal LLM and SLMs. Planning for user data collection for video snapshots of diverse set of users performing a range of workflows using Windows system including considerations for privacy, security and data-richness.
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-You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and robust deep neural networks applied to computer vision tasks. You should have the ability to manage your own academic research and associated activities.
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-Informal enquiries may be addressed to Professor Philip Torr (email: philip.torr@eng.ox.ac.uk)
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-For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/
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-Only online applications received before midday on 4th April 2024 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
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-The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. -->
+There is no vacancy at the moment.