www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Research Fellow
Institution: Queen's University Belfast
Location: Belfast, Northern Ireland, United Kingdom
Duties: This exciting position will allow the successful candidate to work on an international project exploring how a variety of environmental exposures over the life-course shape health outcomes, including Alzheimer’s Disease. This project particularly focuses on air pollution, temperature, light pollution and green/blue spaces, and derivation of environmental exposure variables from vertical aerial and satellite imagery data
Requirements: Obtained or be about to obtain a PhD in computer science, environmental epidemiology, public health, geography, urban planning or related research area; 3 years’ relevant experience and knowledge in recent deep-learning based computer vision techniques; Demonstrable proficiency in programming and experimental analyses using deep-learning/machine learning frameworks in python or other relevant programming language
   
Text: skip to job profile skip to job details Career Opportunities at Queen's My applications My profile Contact us Job details Job details Job reference 22/110357 Date posted 14/11/2022 Application closing date 05/12/2022 Salary £35,333 - £40,931 per annum Job category/type Research Attachments Blank Research Fellow Job description The School of Medicine, Dentistry & Biomedical Sciences (MDBS) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow within the Centre for Public Health. This exciting position will allow the successful candidate to work on an international project exploring how a variety of environmental exposures over the life-course shape health outcomes, including Alzheimer’s Disease. This project particularly focuses on air pollution, temperature, light pollution and green/blue spaces, and derivation of environmental exposure variables from vertical aerial and satellite imagery data. To advance this agenda, we aim to expand our characterisation of the exposome by compiling additional environmental data from open-sources, vertical aerial and satellite imagery data, and to link them to survey data from eight countries, including Northern Ireland, the U.S., England, Ireland, Mexico, Chile, Dominican Republic, and India. The post will be based in the Centre for Public Health and School of Electronics, Electrical Engineering and Computer Science, and work with a team of international researchers. The successful candidate must have, and your application should clearly demonstrate you have: Obtained or be about to obtain a PhD in computer science, environmental epidemiology, public health, geography, urban planning or related research area 3 years’ relevant experience and knowledge in recent deep-learning based computer vision techniques Demonstrable proficiency in programming and experimental analyses using deep-learning / machine learning frameworks in python or other relevant programming language Experience working with vertical aerial and satellite imagery data. Please note the above are not an exhaustive list. For further information about the role including the essential and desirable criteria please click the Candidate Information link below. This post is fixed term until 30 September 2024. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding. At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development. We offer an excellent employment package that includes: Great terms & conditions Pension schemes Flexible working by enabling you to design your working week in collaboration with your manager through a blend of remote and office working Family-friendly initiatives Career development opportunities Support for health & mental wellbeing Generous holiday entitlement of 8 weeks a year (made up of 23 days annual leave, 10 closure days and 9 bank holidays) Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Race) and PRISM (LGBTQ ) which help us progress equality. We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: www.qub.ac.uk/diversit y; www.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/ Informal enquiries may be directed to Roisin Corr - r.corr@qub.ac.uk Candidate Information About the Centre Attractive Reward Package Information for International Applicants Apply online Job title Research Fellow Job reference 22/110357 Date posted 14/11/2022 Application closing date 05/12/2022 Salary £35,333 - £40,931 per annum Job category/type Research Attachments Blank Job description The School of Medicine, Dentistry & Biomedical Sciences (MDBS) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow within the Centre for Public Health. This exciting position will allow the successful candidate to work on an international project exploring how a variety of environmental exposures over the life-course shape health outcomes, including Alzheimer’s Disease. This project particularly focuses on air pollution, temperature, light pollution and green/blue spaces, and derivation of environmental exposure variables from vertical aerial and satellite imagery data. To advance this agenda, we aim to expand our characterisation of the exposome by compiling additional environmental data from open-sources, vertical aerial and satellite imagery data, and to link them to survey data from eight countries, including Northern Ireland, the U.S., England, Ireland, Mexico, Chile, Dominican Republic, and India. The post will be based in the Centre for Public Health and School of Electronics, Electrical Engineering and Computer Science, and work with a team of international researchers. The successful candidate must have, and your application should clearly demonstrate you have: Obtained or be about to obtain a PhD in computer science, environmental epidemiology, public health, geography, urban planning or related research area 3 years’ relevant experience and knowledge in recent deep-learning based computer vision techniques Demonstrable proficiency in programming and experimental analyses using deep-learning / machine learning frameworks in python or other relevant programming language Experience working with vertical aerial and satellite imagery data. Please note the above are not an exhaustive list. For further information about the role including the essential and desirable criteria please click the Candidate Information link below. This post is fixed term until 30 September 2024. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding. At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development. We offer an excellent employment package that includes: Great terms & conditions Pension schemes Flexible working by enabling you to design your working week in collaboration with your manager through a blend of remote and office working Family-friendly initiatives Career development opportunities Support for health & mental wellbeing Generous holiday entitlement of 8 weeks a year (made up of 23 days annual leave, 10 closure days and 9 bank holidays) Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Race) and PRISM (LGBTQ ) which help us progress equality. We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: www.qub.ac.uk/diversit y; www.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/ Informal enquiries may be directed to Roisin Corr - r.corr@qub.ac.uk Candidate Information About the Centre Attractive Reward Package Information for International Applicants Apply online Apply online Privacy Notice © Queen's University Belfast 2020, University Road Belfast, BT7 1NN, Northern Ireland, UK.
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.