14882 - Research Associate
The University of Edinburgh - City of Edinburgh
£41,064 to £48,822 a year
On-siteTemporaryFull time
Grade UE07: £41,064 to £48,822 per annum, pro rata if part time School of Informatics / College of Science and Engineering Full Time: 35 hours per week Fixed term: for 24 months The Opportunity: Help us redefine what’s possible. Be part of something bigger. Here, you can continue to make a difference in everything around you. Take on new challenges, grow your career, be recognised for your contributions, and benefit from our commitment to your wellbeing. Be part of something bigger — where your work has real impact and your development matters. There are so many reasons to take your next step with us. The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our student’s performance and wellbeing. The Role As research associate, you will conduct research within the Statistical Machine Learning and Motor Control (SLMC) group, part of the Institute of Perception, Action and Behaviour (IPAB). You will support the team in advancing the state of the art in whole-body, multi-contact robotic manipulation, developing and combining model-based methods (e.g. trajectory optimization, MPPI) with machine learning approaches (e.g. RL, diffusion policies) to scale and deploy multi-contact robot motions. You will work with robotic manipulation hardware and sensing, including KUKA LBR robot arms and Kawada's Nextage NXA, and contribute to shared-autonomy methods for skilled teleoperation of robot manipulators. The role also involves collaboration and field deployment trips with project partners in Japan, alongside regular reporting on progress and results. Desirable knowledge and experience: Experience mentoring undergraduate and master's students on research projects related to this research area Experience in robot learning techniques, such as reinforcement learning (RL) and/or flow matching and diffusion policies Experience in motion planning, model predictive control (MPC), and optimal control techniques such as trajectory optimization and model predictive path integral (MPPI) Experience with simulation environments such as PyBullet, MuJoCo, or IsaacLab Experience with bi-manual robotic manipulation hardware and force sensing Experience using ROS2 and Python People have always been at the heart of our work. Our people are at the centre of the University community and everything we do. We value colleagues with drive, determination and a passion for what they do. We are a place where everyone is welcome and offer a range of policies and benefits designed to support you in building the right meaningful flexibility that works for you. A career with us has a range of other benefits that can be tailored to your lifestyle: Opportunities to develop new skills and broaden your experience Leading-edge research Opportunities for publication Responsibility and autonomy This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
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Cleaner – Dalkeith
Concept Resources - Dalkeith
from £12.71 an hour
On-sitePermanentPart time
The Role We are recruiting for a reliable Cleaner to work at a Department for Work and Pensions site in Dalkeith. This is a long-term temporary position offering regular, ongoing hours. Location 7 - 15 Buccleuch Street, Lothian, Dalkeith, EH22 1HB Working Hours • Mon 1.5hrs 07:00 -08:30 • Tue 1.5hrs 07:00 -08:30 • Wed 1.5hrs 07:00 -08:30 • Thu 1.5hrs 07:00 -08:30 • Fri 1.5hrs 07:00 -08:30 • Sat No work • Sun No work • Total 7.5 hrs per week
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Physical Training Instructor/Assessor
Capita plc
On-sitePermanentFull time
Are you passionate about supporting others to reach their full potential? We're looking for a dedicated Physical Training Instructor/Assessor to play a pivotal role in guiding candidates through a structured and supportive assessment journey. In this hands-on role, you'll create a calm, fair, and welcoming environment where candidates can perform at their best. You'll lead both physical and psychometric assessments with professionalism and accuracy, applying detailed marking criteria to ensure every candidate is evaluated fairly and consistently. Working 37.5 hours per week onsite at the Army Assessment Centre in Glencorse. Includes one overnight chaperone and 'on call' duty per week. Required to work one weekend per month (Saturday and Sunday). What you'll be doing: • Briefing, delivering and scoring assessments under test conditions • Supporting candidates with clear guidance and encouragement • Coaching physical activities safely and effectively • Promoting wellbeing through advice on fitness, nutrition, and lifestyle • Maintaining your professional development and helping train new team members Essential qualifications/skills/experience • CVQ Level 2 Physical Training qualification (with support to maintain CPD) • Confident instructor and skilled coach • Strong commitment to delivering excellent candidate experience • Full UK Drivers Licence Desirable qualifications/skills/experience • First Aid trained • Familiarity with Army Careers, would be an advantage About Recruiting Partnering Project (RPP): At Capita Recruiting Partnering Project, we're transforming the British Army's recruitment service. Our team are constantly improving the entire recruitment and selection process for both the Regular Army and the Reserves. Our mission is to make joining the Army a less daunting and more transparent experience. Join us and discover better ways to inspire people to become part of the Army. Please visit the below link for further information; Recruitment Partnership Project | Capita What's in it for you: • Offering a salary of £27,500 • 23 days' holiday (rising to 27), plus option to buy extra leave • Pension, life assurance, cycle-to-work scheme, and enhanced family leave • Lifestyle perks including retail, travel, and wellbeing discounts • Paid volunteering day and access to inclusive employee networks • Joining an existing, supportive team Join us and discover a career with purpose. #CareersWithPurpose Customer first, always Fearless innovation ✅ Achieve together Everyone is valued Equal Opportunities At Capita, we're committed to providing an inclusive, barrier-free recruitment process and working environment for everyone. We want everyone to have the best chance of succeeding as they move through their application and start their career with us. We are an equal opportunity and Disability Confident employer; we want to hear from you if you'd like to discuss any adjustments you might need during your recruitment process. Please email reasonableadjustments@capita.com or call 07784 237318 and we'll get back to you to discuss. For more information about equal opportunities and the types of adjustments we can offer, please visit the Capita Careers website. If you have a question that does not relate to adjustments during your recruitment process, please email our Talent Acquisition team - CPScareers@capita.com
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14867 - Postdoctoral Research Associate
The University of Edinburgh - City of Edinburgh
£41,064 to £48,822 a year
On-siteTemporaryFull time
Grade UE07: £41,064 to £48,822 per annum School of Biological Sciences / College of Sciences & Engineering Full Time: 35 hours per week Fixed term: until 31 July 2028 The Opportunity: We are looking for a skilled and motivated postdoctoral researcher to investigate the function and epigenetic regulation of unique germline-specific chromosomes in the fungus gnat fly Bradysia coprophila. The award holder will combine genomic, molecular, and epigenetic approaches to study programmed DNA elimination and the biology of germline-restricted chromosomes, helping to establish Bradysia as a new model system for understanding unusual inheritance and chromosome behaviour. The award holder will join Laura Ross’s lab in the Institute of Ecology and Evolution, University of Edinburgh, as part of an interdisciplinary international project funded by the Novo Nordisk Foundation. Applicants must have a PhD (or to be completed in 3 months) in genetics, genomics, evolutionary biology, molecular biology, or a related field. The post requires experience in genomic data analysis and laboratory skills, creativity in problem solving, and strong communication and organisational skills. Experience with chromatin biology, genome regulation, high-throughput sequencing, work on germline biology, or work on invertebrate development would be an advantage. An overview of the laboratory can be found here: http://lauraross.bio.ed.ac.uk and questions should be directed to Laura Ross at laura.ross@ed.ac.uk.
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14863 - Registered Veterinary Nurse - Internal Medicine
The University of Edinburgh - City of Edinburgh
£34,610 to £39,906 a year
On-sitePermanentFull time
Grade UE06: £34,610 to £39,906 pro rata per annum (based on 35 hours week) Hospital for Small Animals / R(D)SVS / CMVM Full time: 35 hours per week +2.5 hours of paid contractual overtime Monday-Friday, 8.30am-5pm (time TBC with successful candidate) Open ended: permanent Our full and part time nurses are required to cover one weekend shift per month, paid as overtime according to university guidelines. Be part of something bigger, there’s a career for everyone at the University of Edinburgh. Our technical staff are essential to supporting teaching, research, and the smooth operation of our facilities. Whether you’re maintaining cutting-edge lab equipment, facilitating ground-breaking research, developing new techniques, or enhancing student and staff experience with top-notch facilities, your work will have a lasting impact that stretches far beyond our academic community. The Opportunity: We have an exciting opportunity for an RCVS registered veterinary nurse to join our dedicated medicine nursing team at the Hospital for Small Animals. This role will see you working in our wards and in our surgical suites as required. Join our specialist-led Internal Medicine team and play a key role in delivering exceptional patient care. Working alongside board-certified specialists, you will support the investigation and treatment of a wide range of complex medical conditions, using advanced diagnostic facilities including flexible video endoscopy. This is an exciting opportunity to be part of a collaborative, multidisciplinary team dedicated to achieving the best outcomes for every patient. Our Specialist Services at HfSA include: Anaesthesia Cardiology Service Dermatology Diagnostic Imaging Dick Vet Rabbit and Exotic Practice Emergency & Critical Care The Feline Clinic The Internal Medicine Service Neurology and Neurosurgery Ophthalmology Service Orthopaedic Surgery Soft Tissue Surgery REPAIR Centre The Riddell-Swan Veterinary Cancer Centre The Behaviour Clinic Our hospital is equipped with: Three canine wards Four exotics wards One feline ward Purpose-built isolation units A fully equipped emergency room Dedicated Intermediate Care and Intensive Care Wards Four theatre suites MRI and CT imaging Vital Beam linear accelerator Training & Support We offer a comprehensive training programme to help you settle into the role. You’ll normally start by shadowing our friendly and experienced team during standard daytime hours (Monday–Friday, 8:30am–5:00pm) to build your confidence and skills. Any hours worked beyond your contracted weekly hours during training will be paid as overtime according to university guidelines.
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14878 - Clinical Teacher in Small Animal Cardiology
The University of Edinburgh - City of Edinburgh
£34,610 to £39,906 a year
On-siteTemporaryFull time
Grade UE06: £34,610 to £39,906 per annum Royal (Dick) School of Veterinary Studies / Hospital for Small Animals Full Time: 35 hours per week Fixed term: for 10 months (maternity cover contract) Your next step starts here. Be part of something bigger. We are looking for a Clinical Teacher in Small Animal Cardiology. The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our students’ performance and wellbeing. The Opportunity: The Royal (Dick) School of Veterinary Studies is seeking a Clinical Teacher in Small Animal Cardiology based within the Hospital for Small Animals on Easter Bush Campus, just outside Edinburgh. As part of a team covering all aspects of small animal cardiology, you will assist in the provision of a referral level Small Animal Cardiology Service at the Royal (Dick) School of Veterinary Studies within normal University hours; to contribute to the teaching efforts of the Service and assist in the development of the Cardiology Service. This is an excellent step towards specialisation, Working in a multidisciplinary environment where collaboration is actively encouraged, you will be supported by teams of specialists in internal medicine, oncology, anaesthesia, soft tissue surgery, orthopaedics, neurology, emergency and critical care among others. This post is full-time (35 hours per week) for a fixed term of 10 months. The majority of your time will be spent on the clinic processing of cardiology cases. This includes clinical teaching of final year undergraduate students
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14891 - Postdoctoral Research Associate in Applied Artificial Intelligence for Public Breeding
The University of Edinburgh - City of Edinburgh
£41,064 to £48,822 a year
On-siteTemporaryFull time
Grade UE07: £41,064 to £48,822 per annum The Roslin Institute / CMVM Full Time: 35 hours per week Fixed term: for 24 months (there may be the opportunity to extend to 30 months tbc) The Opportunity: We are seeking a Postdoctoral Research Fellow in Applied Artificial Intelligence for the recently established TEAM-AI project: Tools for Evaluating and Advancing Meaningful AI Adoption in Public Breeding Programmes, a global partnership between the Roslin Institute and CGIAR, including CIMMYT and National Agricultural Research Systems (NARES). In this role, you will develop and evaluate innovative artificial intelligence approaches to support public plant breeding. Working with large-scale genomic, phenotypic, environmental, and field trial datasets, you will benchmark AI and quantitative genetics methods, develop multimodal and hybrid modelling frameworks, and investigate explainable AI strategies to improve prediction, interpretability, and breeding decision-making. Join TEAM-AI to translate cutting-edge analytics into practical solutions for global food security. TEAM-AI aims to ensure that advances in AI and data science deliver meaningful benefits for public breeding programmes and the farmers they target. This role offers a unique opportunity to combine expertise in biometrics, quantitative genetics and software development to address real-world challenges in agriculture. Working closely with CGIAR and NARES partners through collaborative visits, workshops and training activities, you will gain experience with public breeding programmes operating across diverse environments. The resulting tools and resources will be deployed across CGIAR and NARES programmes, helping breeders make more informed and representative decisions, accelerate crop improvement, and strengthen food security and climate resilience across the Global South. The successful candidate will join the Biometrics for Breeding Group at Roslin, who develop statistical and quantitative genetic methods for improving the productivity and sustainability of breeding programmes amid a changing climate. We offer exciting opportunities to build an international network spanning academia, industry and public breeding programmes, while contributing to capacity building in AI-enabled breeding at Roslin and expanding our suite of data-driven breeding resources and tools. This post is full-time (35 hours per week) on-campus working; however, we are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
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14890 - Postdoctoral Research Associate in Biometrics & Quantitative Genetics for Public Breeding
The University of Edinburgh - City of Edinburgh
£41,064 to £48,822 a year
On-siteTemporaryFull time
Grade UE07: £41,064 to £48,822 per annum The Roslin Institute / CMVM Full Time: 35 hours per week Fixed term: for 18 months, there may be the opportunity to extend to 30 months tbc The Opportunity: We are seeking a Postdoctoral Research Fellow in Biometrics and Quantitative Genetics for the recently established TEAM-AI project: Tools for Evaluating and Advancing Meaningful AI Adoption in Public Breeding Programmes, a global partnership between the Roslin Institute and CGIAR, including CIMMYT and National Agricultural Research Systems (NARES). In this role, you will develop an analytical decision-support tool that integrates quantitative genetic modelling, artificial intelligence, and genetic simulations to support breeding decisions across diverse crop improvement programmes in the Global South. Working with large-scale phenotypic, genomic, environmental and grower survey datasets, you will develop innovative methods and open-source software to accelerate meaningful impact for growers. Join TEAM-AI to translate cutting-edge analytics into practical solutions for global food security. TEAM-AI aims to ensure that advances in AI and data science deliver meaningful benefits for public breeding programmes and the farmers they target. This role offers a unique opportunity to combine expertise in biometrics, quantitative genetics and software development to address real-world challenges in agriculture. Working closely with CGIAR and NARES partners through collaborative visits, workshops and training activities, you will gain experience with public breeding programmes operating across diverse environments. The resulting tools and resources will be deployed across CGIAR and NARES programmes, helping breeders make more informed and representative decisions, accelerate crop improvement, and strengthen food security and climate resilience across the Global South. The successful candidate will join the Biometrics for Breeding Group at Roslin, who develop statistical and quantitative genetic methods for improving the productivity and sustainability of breeding programmes amid a changing climate. We offer exciting opportunities to build an international network spanning academia, industry and public breeding programmes, while contributing to capacity building in AI-enabled breeding at Roslin and expanding our suite of data-driven breeding resources and tools. This post is full-time (35 hours per week) on-campus working; however, we are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
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14834 - Engineering Biology PDRA
The University of Edinburgh - City of Edinburgh
£41,064 to £48,822 a year, pro rata
On-siteTemporaryFull time
Grade UE07: £41,064 to £48,822 per annum, pro rata if part time The Roslin Institute / CMVM Full time: 35 hours per week Fixed term: for 12 months The Opportunity We are inviting applications for a Postdoctoral Research Associate to undertake a BBSRC-funded project, delivered as part of the Engineering Biology Hub at Easter Bush, focused on engineering more robust protein expression in chicken through synonymous recoding. The project will apply engineering biology principles to develop more predictable and robust expression systems for avian biotechnology. This is a collaborative project involving several research groups at the University of Edinburgh, including the Kudla, Gaunt, Grey, McGrew and Glover laboratories. The post will be led by Dr James Glover and based at The Roslin Institute. By enabling more predictable and robust transgene expression in chicken cells, this work will support the development of improved genetic tools and create opportunities across vaccine research, disease-resilience modelling and egg-based biopharming. The post holder will help plan and deliver experimental work, analyse and interpret data, contribute to the direction of the research, and support the dissemination of research outputs. What you will be doing The successful candidate will be responsible for the planning, optimisation and execution of experimental work in engineering biology, molecular biology and avian cell systems, with guidance from the PI and Co-Investigators. This will include techniques such as CRISPR/Cas9 editing, variant library preparation, cell culture, flow cytometry, sequencing-based assays, and quantitative analysis of gene or protein expression (50%). Analyse and interpret data, ensuring that all data production, recording and documentation are handled with integrity and maintained to a high standard (30%). Present and discuss research findings within and beyond the research group, and disseminate outputs through contributions to publications, conference presentations, internal reports and follow-on funding applications (10%). Contribute to wider Engineering Biology Hub activities, including the development of tools and resources, new protocols, collaborative working practices and outreach programmes (10%). This post is full time, 35 hours per week, and fixed term for 12 months. We are open to considering part-time or flexible working patterns.
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14622 - Flow Cytometry Technician
The University of Edinburgh - City of Edinburgh
£34,610 to £39,906 a year, pro rata
On-siteTemporaryPart time
Grade UE06: £34,610 - £39,906 per annum CMVM / School of Genetics and Cancer Part-time: 28 hours per week Fixed-term: 24 months Together we can do great things. Be part of something bigger. Here, you can continue to make a difference in everything around you. Take on new challenges, grow your career, be recognised for your contributions, and benefit from our commitment to your wellbeing. Be part of something bigger — where your work has real impact and your development matters. There are so many reasons to take your next step with us. Our technical staff are essential to supporting teaching, research, and the smooth operation of our facilities. Whether you're maintaining cutting-edge lab equipment, facilitating ground-breaking research, developing new techniques, or enhancing student and staff experience with top-notch facilities, your work will have a lasting impact that stretches far beyond our academic community. The Opportunity: We are looking for an enthusiastic person to join the flow cytometry facility at the Western General campus in the School of Genetics and Cancer. This role involves providing an efficient and reproducible cell sorting and cell analysis service to researchers using our fleet of state-of-the-art flow cytometry instrumentation. The institute of Genetics and Cancer (IGC) constitutes one of the largest aggregates of human molecular genetics and biology research capacity in the UK with more than 70 principal investigators, 500 staff and 100 PhD students. We are looking for people with drive, determination, and a passion for what they do. We are a place where everyone is welcome and offer policies and benefits to support you in building flexible working where possible. People have always been at the heart of our work. Our people are at the centre of the University community and everything we do. We value colleagues with drive, determination and a passion for what they do. We are a place where everyone is welcome and offer a range of policies and benefits designed to support you in building the right meaningful flexibility that works for you. A career with us has a range of other benefits that can be tailored to your lifestyle: Variety every day Responsibility and autonomy Excellent benefits and support Contributing to the work and purpose of the University.
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