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Business & Management Studies – UK Jobs

Lecturer in Creative Technologies (Computer Games)

Business & Management Studies - UK Jobs

Permanent / Full-time
Salary:  £32,382 – £39,739 per annum  
Post number: ZZ007678
Closing date: 11 July 2022
Interview date: 22 July 2022
The University of Portsmouth is an ambitious institution. One of only four universities in the south east of England to achieve a Gold rating in the Teaching Excellence Framework and ranked in the top 150 in the Times Higher Young University World Rankings.
The School of Creative Technologies at the University of Portsmouth is a vibrant future-facing environment in which highly-motivated students and staff work at the cutting edge of creative and technological disciplines. We’ve a playful yet serious approach to enabling world-class learning, innovation and research which is underpinned by extraordinary facilities including CCIXR.
We are searching for three new full-time lecturers. The successful candidates will use their knowledge and experience to design and deliver innovative and engaging teaching at both Undergraduate and Postgraduate levels.
The new post holders will have a role in helping to realise the potential of an already award-winning School with regard to our work in teaching, innovation and research.
We are structured around three interrelated themes: Play, Code, Create; Human Experience Design; and, Sound and Vision. Each of the roles sits within one of our themes however we actively encourage and promote interdisciplinarity. In the School we have subject specialists in Animation, Computer Animation, Visual Effects, Computer Games, Creative Computing, Creative Media Technologies, Digital Media, Interactive Technologies, Music Technology and Virtual and Augmented Reality. Following a successful submission to REF 2021 we are now building toward the future and you will have a role to play in this.
A proactive approach to industrial engagement, research and/or professional practice and graduate employability is important; as is a passion for developing and diversifying the field of creative technologies.
The three lecturing roles, in Computer Games, Digital Art, and Creative Digital Design are being advertised separately and will require separate applications to be submitted.
Please do not hesitate to get in touch with us if you have any questions:
Head of School, Dr Adrian HullAcademic Lead for “Play Code Create”, Dr Neil DanseyAcademic Lead for “Human Experience Design”, Dr Claire Bailey-Ross
The University of Portsmouth believes this role may be eligible for sponsorship with UKVI under the Skilled Worker Route visa. Please familiarise yourself with the requirements set out before applying for this role. If you are unable to meet the requirements for sponsorship you will need to confirm details of an alternative visa to work in the UK when applying for this role.
We are strongly dedicated to embedding equality, diversity and inclusion (EDI) within our community. As an Athena SWAN and Race Equality Charter award holder, a member of Stonewall and a Disability Confident Employer we are passionate about creating a welcoming and inclusive environment, regardless of your background. We welcome applications from all talented people. In addition, we want our workforce to be representative of our diverse student population. Please see our EDI Framework and objectives.
Information about us and our benefits.
For detailed information about the vacancy: ZZ007678 – Lecturer in Creative Technologies (Computer Games).docx

Lecturer in Creative Technologies (Computer Games)

Business & Management Studies - UK Jobs

Permanent / Full-time
Salary:  £32,382 – £39,739 per annum  
Post number: ZZ007678
Closing date: 11 July 2022
Interview date: 22 July 2022
The University of Portsmouth is an ambitious institution. One of only four universities in the south east of England to achieve a Gold rating in the Teaching Excellence Framework and ranked in the top 150 in the Times Higher Young University World Rankings.
The School of Creative Technologies at the University of Portsmouth is a vibrant future-facing environment in which highly-motivated students and staff work at the cutting edge of creative and technological disciplines. We’ve a playful yet serious approach to enabling world-class learning, innovation and research which is underpinned by extraordinary facilities including CCIXR.
We are searching for three new full-time lecturers. The successful candidates will use their knowledge and experience to design and deliver innovative and engaging teaching at both Undergraduate and Postgraduate levels.
The new post holders will have a role in helping to realise the potential of an already award-winning School with regard to our work in teaching, innovation and research.
We are structured around three interrelated themes: Play, Code, Create; Human Experience Design; and, Sound and Vision. Each of the roles sits within one of our themes however we actively encourage and promote interdisciplinarity. In the School we have subject specialists in Animation, Computer Animation, Visual Effects, Computer Games, Creative Computing, Creative Media Technologies, Digital Media, Interactive Technologies, Music Technology and Virtual and Augmented Reality. Following a successful submission to REF 2021 we are now building toward the future and you will have a role to play in this.
A proactive approach to industrial engagement, research and/or professional practice and graduate employability is important; as is a passion for developing and diversifying the field of creative technologies.
The three lecturing roles, in Computer Games, Digital Art, and Creative Digital Design are being advertised separately and will require separate applications to be submitted.
Please do not hesitate to get in touch with us if you have any questions:
Head of School, Dr Adrian HullAcademic Lead for “Play Code Create”, Dr Neil DanseyAcademic Lead for “Human Experience Design”, Dr Claire Bailey-Ross
The University of Portsmouth believes this role may be eligible for sponsorship with UKVI under the Skilled Worker Route visa. Please familiarise yourself with the requirements set out before applying for this role. If you are unable to meet the requirements for sponsorship you will need to confirm details of an alternative visa to work in the UK when applying for this role.
We are strongly dedicated to embedding equality, diversity and inclusion (EDI) within our community. As an Athena SWAN and Race Equality Charter award holder, a member of Stonewall and a Disability Confident Employer we are passionate about creating a welcoming and inclusive environment, regardless of your background. We welcome applications from all talented people. In addition, we want our workforce to be representative of our diverse student population. Please see our EDI Framework and objectives.
Information about us and our benefits.
For detailed information about the vacancy: ZZ007678 – Lecturer in Creative Technologies (Computer Games).docx

Postdoctoral Research Scientist (Molecular Biology)

Business & Management Studies - UK Jobs

Applications are invited for a Postdoctoral Research Scientist to join the Laboratory of Conrad Nieduszynski at the Earlham Institute, based in Norwich, UK.
Background: 
The role of Senataxins in regulating replication-transcription clashes Complete, accurate genome replication is essential for life. However, a major potential obstacle to the replication apparatus is transcription, particularly in cancerous cells (Gómez-González & Aguilera, 2019). Although cells possess efficient pathways that process transcription-replication conflicts, these protective mechanisms are not well understood. This project will discover how Senataxins contribute to the resolution of transcription-replication conflicts.In collaboration with the Carr group (Genome Damage and Stability Centre, University of Sussex), we will use a powerful collection of yeast mutants to explore the function of Senataxins. We will apply cutting-edge single-molecule nanopore sequencing techniques, combined with classical yeast genetics and cell biology, to track the movement of the replication machinery on individual DNA molecules from single cells (Müller et al., 2019). This will allow us to understand the causes of transcription-replication conflicts and how they are resolved by Senataxin.Gómez-González & Aguilera (2019). Transcription-mediated replication hindrance: a major driver of genome instability. Gene Dev, 33: 1008. Müller et al. (2019). Capturing the dynamics of genome replication on individual ultra-long nanopore sequence reads. Nat. Methods,16:429. 
The role: 
This post requires a molecular/genome biologist with experience of high throughput sequencing with an interest in using their expertise to study fundamental biological processes and the causes of genome instability. The post-holder will be involved in yeast genetics, molecular biology and single molecule high-throughput sequencing. 
The ideal candidate: 
The successful candidate will be a trained, enthusiastic and self-motivated scientist with experience in applying high-throughput sequencing in scientific research. The post-holder should hold a PhD/DPhil in molecular biology, biochemistry, genomics, genetics or equivalent. Previous experience researching, developing and optimising molecular biology protocols is essential. Furthermore, good organisational skills and the ability to communicate and work productively within a multidisciplinary team will be crucial. An interest in chromosome biology will be essential, but prior experience or knowledge of DNA replication or genome stability is not a requirement. Candidates with a combination of molecular biology and bioinformatics experience would be especially welcome. Training will be available in all aspects of the work, although it is expected that applicants will have a strong background in the majority of the molecular and genomic techniques. 
Additional information:
Salary on appointment will be within the range £33,050 to £40,750 per annum depending on qualifications and experience.  This is a full-time post for a contract of 3 years. 
Interviews will be held on 11th August 2022. 
For further information and details of how to apply, please visit our website http://jobs.earlham.ac.uk/ or contact the Human Resources team on 01603 450462 or [email protected] quoting reference 1004293. 
As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. 
The closing date for applications will be 31st July 2022.

Postdoctoral Research Scientist (Molecular Biology)

Business & Management Studies - UK Jobs

Applications are invited for a Postdoctoral Research Scientist to join the Laboratory of Conrad Nieduszynski at the Earlham Institute, based in Norwich, UK.
Background: 
The role of Senataxins in regulating replication-transcription clashes Complete, accurate genome replication is essential for life. However, a major potential obstacle to the replication apparatus is transcription, particularly in cancerous cells (Gómez-González & Aguilera, 2019). Although cells possess efficient pathways that process transcription-replication conflicts, these protective mechanisms are not well understood. This project will discover how Senataxins contribute to the resolution of transcription-replication conflicts.In collaboration with the Carr group (Genome Damage and Stability Centre, University of Sussex), we will use a powerful collection of yeast mutants to explore the function of Senataxins. We will apply cutting-edge single-molecule nanopore sequencing techniques, combined with classical yeast genetics and cell biology, to track the movement of the replication machinery on individual DNA molecules from single cells (Müller et al., 2019). This will allow us to understand the causes of transcription-replication conflicts and how they are resolved by Senataxin.Gómez-González & Aguilera (2019). Transcription-mediated replication hindrance: a major driver of genome instability. Gene Dev, 33: 1008. Müller et al. (2019). Capturing the dynamics of genome replication on individual ultra-long nanopore sequence reads. Nat. Methods,16:429. 
The role: 
This post requires a molecular/genome biologist with experience of high throughput sequencing with an interest in using their expertise to study fundamental biological processes and the causes of genome instability. The post-holder will be involved in yeast genetics, molecular biology and single molecule high-throughput sequencing. 
The ideal candidate: 
The successful candidate will be a trained, enthusiastic and self-motivated scientist with experience in applying high-throughput sequencing in scientific research. The post-holder should hold a PhD/DPhil in molecular biology, biochemistry, genomics, genetics or equivalent. Previous experience researching, developing and optimising molecular biology protocols is essential. Furthermore, good organisational skills and the ability to communicate and work productively within a multidisciplinary team will be crucial. An interest in chromosome biology will be essential, but prior experience or knowledge of DNA replication or genome stability is not a requirement. Candidates with a combination of molecular biology and bioinformatics experience would be especially welcome. Training will be available in all aspects of the work, although it is expected that applicants will have a strong background in the majority of the molecular and genomic techniques. 
Additional information:
Salary on appointment will be within the range £33,050 to £40,750 per annum depending on qualifications and experience.  This is a full-time post for a contract of 3 years. 
Interviews will be held on 11th August 2022. 
For further information and details of how to apply, please visit our website http://jobs.earlham.ac.uk/ or contact the Human Resources team on 01603 450462 or [email protected] quoting reference 1004293. 
As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. 
The closing date for applications will be 31st July 2022.

Assistant Professor Data Science

Business & Management Studies - UK Jobs

Lingnan Strategic Faculty Recruitment
With “Education: Care for Learning • Research: Impact with Care” as its core value, Lingnan University, a leading liberal arts university in Asia, is committed to contributing to the improvement of society and humankind through effective teaching and learning, sustainable research, and knowledge transfer activities with an international approach.  In line with the University’s Strategic Plan 2022-2028 to build scholarly and research capabilities in designated strategic areas over the next few years, with a special focus on cross-Faculty collaborations in multi-disciplinary research and teaching programmes, we now invite applications from around the globe for various interdisciplinary academic positions at the rank from Postdoctoral Fellow to Chair Professor.
Assistant Professor
Data Science
Post Ref.: 22/98/JAC
The University is seeking to hire a full-time Assistant Professor in one of the following areas: (i) Deep Learning and Deep Neural Networks; (ii) Evolutionary Computation; (iii) Machine Learning and Data Mining areas. Candidates should have (1) a PhD in Computer Science, Data Science, Artificial Intelligence, or a relevant discipline; (2) a strong publication record in peer-reviewed journals of good international standing and/or university presses; (3) a good track record in competitive grant applications in the relevant areas; (4) experience in applying Deep Learning/Evolutionary Computation/Machine Learning/Data Mining in real life contexts; and (5) relevant teaching experience.
The appointee will join the Faculty of Business (https://www.ln.edu.hk/fb/) and will be expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities.  In particular, the appointee is expected to apply for external competitive grant, and commit to teaching excellence and active services to the Faculty and the University.  Candidates are required to provide evidence of their research records and quality teaching.  A proven record in academic leadership and institutional service would be a distinct advantage. Short-listed candidates will be requested to provide a sample course syllabus in the relevant field before the interview.
Appointment
The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointee.
Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may normally lead to longer-term appointment with possibility of consideration for substantiation.
Application Procedure
Please click “Apply” to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicant’s consent has been given for their providing references. Personal data collected will be used for recruitment purposes only.
We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.
The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search.  We regret that only shortlisted candidates will be notified.

Assistant Professor Data Science

Business & Management Studies - UK Jobs

Lingnan Strategic Faculty Recruitment
With “Education: Care for Learning • Research: Impact with Care” as its core value, Lingnan University, a leading liberal arts university in Asia, is committed to contributing to the improvement of society and humankind through effective teaching and learning, sustainable research, and knowledge transfer activities with an international approach.  In line with the University’s Strategic Plan 2022-2028 to build scholarly and research capabilities in designated strategic areas over the next few years, with a special focus on cross-Faculty collaborations in multi-disciplinary research and teaching programmes, we now invite applications from around the globe for various interdisciplinary academic positions at the rank from Postdoctoral Fellow to Chair Professor.
Assistant Professor
Data Science
Post Ref.: 22/98/JAC
The University is seeking to hire a full-time Assistant Professor in one of the following areas: (i) Deep Learning and Deep Neural Networks; (ii) Evolutionary Computation; (iii) Machine Learning and Data Mining areas. Candidates should have (1) a PhD in Computer Science, Data Science, Artificial Intelligence, or a relevant discipline; (2) a strong publication record in peer-reviewed journals of good international standing and/or university presses; (3) a good track record in competitive grant applications in the relevant areas; (4) experience in applying Deep Learning/Evolutionary Computation/Machine Learning/Data Mining in real life contexts; and (5) relevant teaching experience.
The appointee will join the Faculty of Business (https://www.ln.edu.hk/fb/) and will be expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities.  In particular, the appointee is expected to apply for external competitive grant, and commit to teaching excellence and active services to the Faculty and the University.  Candidates are required to provide evidence of their research records and quality teaching.  A proven record in academic leadership and institutional service would be a distinct advantage. Short-listed candidates will be requested to provide a sample course syllabus in the relevant field before the interview.
Appointment
The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointee.
Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may normally lead to longer-term appointment with possibility of consideration for substantiation.
Application Procedure
Please click “Apply” to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicant’s consent has been given for their providing references. Personal data collected will be used for recruitment purposes only.
We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.
The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search.  We regret that only shortlisted candidates will be notified.

Postdoctoral Research Assistant

Business & Management Studies - UK Jobs

About the Role
The School of Electronic Engineering and Computer Science at Queen Mary University of London is looking to recruit a Postdoctoral Research Assistant to support an EPSRC-funded project led by Dr Khalid Rajab.
The role is to develop a contactless health monitoring sensor system, which will be deployed at our partner’s facilities, to monitor and predict wellbeing trends of residents in their homes. Data analytics, using machine learning techniques, of sensor data is a critical component of this task. This is in support of virtual ward initiatives, which aim to get people out of hospitals, and back into their homes earlier, through remote monitoring of their health.
About You
You should have a PhD in Computer Science, Electrical/Electronic Engineering, Healthcare Informatics, or related field or equivalent experience. You will have substantial knowledge of data analytics using machine learning, preferably applied to healthcare informatics. Experience with sensor firmware development, cross-platform software development tools (e.g. Flutter) and sensor-Cloud integration tools (e.g. MySQL, IoT Core) is desirable.
About the School of EECS
As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research and second in the country for our Electronic Engineering research output (REF2021).
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Benefits
We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
The post is based at the Mile End Campus in London. It is a full-time (35 hours per week), fixed-term appointment for 24 months or until 31 March 2024 (whichever is sooner), with an expected start date of August 2022. The starting salary will be Grade 4, in the range of £34,733 – £36,639 per annum (pro-rata), inclusive of London Allowance.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.
Informal enquiries should be addressed to Dr Khalid Rajab at [email protected] Details about the School can be found at www.eecs.qmul.ac.uk.
Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references and research papers should not be provided at this stage.
To apply for the role, please click the ‘apply’ button below.
The closing date for applications is 1 August 2022. Interviews are expected to be held shortly thereafter.
Valuing Diversity & Committed to Equality
Proud to be a London Living Wage Employer

Postdoctoral Research Assistant

Business & Management Studies - UK Jobs

About the Role
The School of Electronic Engineering and Computer Science at Queen Mary University of London is looking to recruit a Postdoctoral Research Assistant to support an EPSRC-funded project led by Dr Khalid Rajab.
The role is to develop a contactless health monitoring sensor system, which will be deployed at our partner’s facilities, to monitor and predict wellbeing trends of residents in their homes. Data analytics, using machine learning techniques, of sensor data is a critical component of this task. This is in support of virtual ward initiatives, which aim to get people out of hospitals, and back into their homes earlier, through remote monitoring of their health.
About You
You should have a PhD in Computer Science, Electrical/Electronic Engineering, Healthcare Informatics, or related field or equivalent experience. You will have substantial knowledge of data analytics using machine learning, preferably applied to healthcare informatics. Experience with sensor firmware development, cross-platform software development tools (e.g. Flutter) and sensor-Cloud integration tools (e.g. MySQL, IoT Core) is desirable.
About the School of EECS
As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research and second in the country for our Electronic Engineering research output (REF2021).
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Benefits
We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
The post is based at the Mile End Campus in London. It is a full-time (35 hours per week), fixed-term appointment for 24 months or until 31 March 2024 (whichever is sooner), with an expected start date of August 2022. The starting salary will be Grade 4, in the range of £34,733 – £36,639 per annum (pro-rata), inclusive of London Allowance.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.
Informal enquiries should be addressed to Dr Khalid Rajab at [email protected] Details about the School can be found at www.eecs.qmul.ac.uk.
Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references and research papers should not be provided at this stage.
To apply for the role, please click the ‘apply’ button below.
The closing date for applications is 1 August 2022. Interviews are expected to be held shortly thereafter.
Valuing Diversity & Committed to Equality
Proud to be a London Living Wage Employer

Research Fellow in Communications for Pipeline Inspection Robots

Business & Management Studies - UK Jobs

Are you an enthusiastic and experienced researcher in communications systems? Are you looking for a new and exciting challenge as part of a world class robotics team?  Do you want to design and create robotic systems that will change our lives?
As part of the £7.2M Pipebots (www.pipebots.ac.uk) project to build swarms of small inspection robots to live within pipes, you will model, design, fabricate and test communications and sensor systems for small robots (centimetre scale) used for inspection tasks inside active pipes.  
You will join a world class team at the University of Leeds developing a broad range of inspection robots including drones, mobile inspection robots, and some of the most advanced legged robots in the world.  The Leeds team is responsible for many innovations including exploring the Great Pyramid of Giza with robots in 2011 and repairing roads with drones.  
Our research is supported by the EPSRC National Facility for Innovative Robotic Systems, which contains some of the most advanced manufacturing equipment in the world.   You will join a buoyant active research environment alongside six researchers and technicians dedicated to this project alone.  Across the broader domain of infrastructure inspection, the University of Leeds leads the EPSRC Grand Challenge in robotic infrastructure inspection and repair – with another 6 academic researchers.  Robotics at Leeds has over 100 active members with research in the areas of Field Robotics, Medical Robotics, AI for robotics and Underpinning Science and Technology.
What we offer in return 
25 days holiday plus 15.5 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s over 40 days a year! 
Pension schemes with a generous contribution from the University. 
Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. 
Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more. 
Access to on-site childcare, shopping discounts and travel schemes are also available. 
And much more!   
To explore the post further or for any queries you may have, please contact: 
Professor Ian Robertson, School of Electronic and Electrical Engineering, University of Leeds
Email: [email protected]

Research Fellow in Communications for Pipeline Inspection Robots

Business & Management Studies - UK Jobs

Are you an enthusiastic and experienced researcher in communications systems? Are you looking for a new and exciting challenge as part of a world class robotics team?  Do you want to design and create robotic systems that will change our lives?
As part of the £7.2M Pipebots (www.pipebots.ac.uk) project to build swarms of small inspection robots to live within pipes, you will model, design, fabricate and test communications and sensor systems for small robots (centimetre scale) used for inspection tasks inside active pipes.  
You will join a world class team at the University of Leeds developing a broad range of inspection robots including drones, mobile inspection robots, and some of the most advanced legged robots in the world.  The Leeds team is responsible for many innovations including exploring the Great Pyramid of Giza with robots in 2011 and repairing roads with drones.  
Our research is supported by the EPSRC National Facility for Innovative Robotic Systems, which contains some of the most advanced manufacturing equipment in the world.   You will join a buoyant active research environment alongside six researchers and technicians dedicated to this project alone.  Across the broader domain of infrastructure inspection, the University of Leeds leads the EPSRC Grand Challenge in robotic infrastructure inspection and repair – with another 6 academic researchers.  Robotics at Leeds has over 100 active members with research in the areas of Field Robotics, Medical Robotics, AI for robotics and Underpinning Science and Technology.
What we offer in return 
25 days holiday plus 15.5 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s over 40 days a year! 
Pension schemes with a generous contribution from the University. 
Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. 
Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more. 
Access to on-site childcare, shopping discounts and travel schemes are also available. 
And much more!   
To explore the post further or for any queries you may have, please contact: 
Professor Ian Robertson, School of Electronic and Electrical Engineering, University of Leeds
Email: [email protected]

Research Assistant / Associate in Machine Learning for Imaging

Business & Management Studies - UK Jobs

Salary: 
Research Assistant salary range: £36,694 to £39,888 per annum
Research Associate salary range: £41,593 to £49,210 per annum*
Fixed Term appointment to start ASAP for 2 years
The Department of Computing at Imperial College London is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2021 Research Excellence Framework (REF) assessment, the Department was ranked 1st out of all UK Computer Science departments and was rated as “Excellent” in the previous national assessment of teaching quality. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017.
The Biomedical Image Analysis (BioMedIA) group is a friendly, vibrant, multi-national team of around 50 academics, post-doctoral researchers and PhD students, pursuing research on novel computational techniques for the processing and analysis of biomedical images. Topics of interest are image registration, reconstruction, segmentation and modelling. We use machine learning for the extraction of clinically useful information from medical images: for example, for computer-aided detection and diagnosis, computer-aided treatment planning, computer-guided interventions and therapy.
We are looking for an outstanding Research Assistant / Associate to join Dr Ben Glocker’s team within the (BioMedIA) group, based at the South Kensington campus. The appointee will join Project MIRA, an ERC-funded project which is dedicated to advancing medical image analysis by developing a new generation of machine intelligence that uses powerful techniques of representation learning. The postholder will develop innovative image analysis and machine learning methods, and will work in the following areas: robust deep learning, causality in medical imaging, multi-task / multi-modal learning, geometric deep learning, Bayesian machine learning, generative modelling for clinical applications such as disease detection and semantic segmentation.
To apply, you will need to have:
A PhD degree (or close to completion) in Computer Science or a related field *
Knowledge of a broad range of techniques in medical image computing, machine learning and scientific programming. Experience in deep learning is an advantage.
Excellent oral and written communication skills, with a good publication record in relevant conferences or journals.
Ability to prioritise work to meet deadlines, and to work with minimal supervision.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £36,694 – £39,888 per annum.
How to apply:
For further details on this opportunity visit our Jobs website and search using vacancy reference number ENG02196. In addition to completing the online application, candidates should attach:
A full CV
A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
Any evidence that demonstrates your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully considered.
Should you have any queries regarding the application process please contact Jamie Perrins by email at: [email protected]
For academic queries about the post please contact: Dr Ben Glocker ([email protected]).
Closing Date: 1st August 2022 (midnight)

Research Assistant / Associate in Machine Learning for Imaging

Business & Management Studies - UK Jobs

Salary: 
Research Assistant salary range: £36,694 to £39,888 per annum
Research Associate salary range: £41,593 to £49,210 per annum*
Fixed Term appointment to start ASAP for 2 years
The Department of Computing at Imperial College London is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2021 Research Excellence Framework (REF) assessment, the Department was ranked 1st out of all UK Computer Science departments and was rated as “Excellent” in the previous national assessment of teaching quality. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017.
The Biomedical Image Analysis (BioMedIA) group is a friendly, vibrant, multi-national team of around 50 academics, post-doctoral researchers and PhD students, pursuing research on novel computational techniques for the processing and analysis of biomedical images. Topics of interest are image registration, reconstruction, segmentation and modelling. We use machine learning for the extraction of clinically useful information from medical images: for example, for computer-aided detection and diagnosis, computer-aided treatment planning, computer-guided interventions and therapy.
We are looking for an outstanding Research Assistant / Associate to join Dr Ben Glocker’s team within the (BioMedIA) group, based at the South Kensington campus. The appointee will join Project MIRA, an ERC-funded project which is dedicated to advancing medical image analysis by developing a new generation of machine intelligence that uses powerful techniques of representation learning. The postholder will develop innovative image analysis and machine learning methods, and will work in the following areas: robust deep learning, causality in medical imaging, multi-task / multi-modal learning, geometric deep learning, Bayesian machine learning, generative modelling for clinical applications such as disease detection and semantic segmentation.
To apply, you will need to have:
A PhD degree (or close to completion) in Computer Science or a related field *
Knowledge of a broad range of techniques in medical image computing, machine learning and scientific programming. Experience in deep learning is an advantage.
Excellent oral and written communication skills, with a good publication record in relevant conferences or journals.
Ability to prioritise work to meet deadlines, and to work with minimal supervision.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £36,694 – £39,888 per annum.
How to apply:
For further details on this opportunity visit our Jobs website and search using vacancy reference number ENG02196. In addition to completing the online application, candidates should attach:
A full CV
A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
Any evidence that demonstrates your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully considered.
Should you have any queries regarding the application process please contact Jamie Perrins by email at: [email protected]
For academic queries about the post please contact: Dr Ben Glocker ([email protected]).
Closing Date: 1st August 2022 (midnight)