The University of Edinburgh
Easter Howgate, Midlothian
Job Summary Grade UE07: £41,064 - £48,822 per annum, with an additional market pay supplement bringing the total salary to up to £60,000 per annum. CAHSS / Business School / Kodamai Limited. Full-time: 35 hours per week; Fixed-term: 27 months. Location: Primarily based at Kodamai Limited's office in central Glasgow. The University of Edinburgh and Kodamai Limited have been awarded a Knowledge Transfer Partnership (KTP) funded by Innovate UK to embed advanced predictive modelling and causal inference capabilities into Kodamai's secure-by-design AI agent platform. This innovative project will combine the expertise of Prof Gbenga Ibikunle (Finance) and Dr Zexun Chen (Predictive Analytics) at the University of Edinburgh Business School with Kodamai's rapidly growing AI platform to develop scalable, trustworthy forecasting solutions for the financial services sector. Kodamai Ltd is an early-stage start-up founded in Glasgow, U.K. We are pioneering a new era in the digital economy by building collaborative communities of AI agents. Our mission is to deliver a transformative wave of business automation, driving significant improvements in productivity, cost efficiency, and operational excellence. We aspire to become the future operating system for AI driven enterprises. We are passionate about cultivating a diverse and inclusive workplace, where unconventional thinking and scientific rigor are core to our approach. Kodamai leads with innovation, conducting original AI research and applying rigorous mathematical foundations to deliver unique solutions for our clients. We believe our employees are our greatest asset. We foster a supportive, unified team that values open communication, humility, honesty, and teamwork. We actively encourage diverse perspectives and problem solving, with a commitment to continuous learning and excellence. The Opportunity We are seeking an independent and motivated KTP Associate with expertise in predictive modelling, causal inference, applied mathematics, and statistics to drive the forecasting and decision science workstream of this ambitious project. Over 27 months, you will develop causal inference and probabilistic forecasting models for high-volume, heterogeneous data, build counterfactual "what if" analysis capabilities for marketing, pricing, and operations, and integrate these into Kodamai's production platform. Responsibilities & Scope Your work will span six stages: from data landscape assessment and foundation building, through data engineering and baseline models, causal inference and counterfactual analysis, probabilistic forecasting and deep reinforcement learning, to pilot implementation with finance sector customers, and finally evaluation, handover, and future roadmap planning. You will collaborate closely with a second KTP Associate focused on cybersecurity (Associate 1) to ensure the combined platform is both analytically powerful and secure. As part of this role, you will have the opportunity to publish research in top tier venues, develop production grade AI systems, and gain significant commercial exposure in the rapidly growing AI and fintech sectors. This post is full time (35 hours per week), primarily based at Kodamai Limited's offices in central Glasgow, with regular visits to the University of Edinburgh as required. The post will be jointly supervised by Dr Toby Smithe (CTO, Kodamai Limited) and the academic leads at the University of Edinburgh Business School (Dr Zexun Chen and Prof Gbenga Ibikunle). Whilst you will be employed by UoE, the details of your terms and conditions will be discussed further at interview. Benefits A competitive salary. An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community. Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the value of your pay and benefits. As a KTP Associate, you will be part of the national Knowledge Transfer Partnerships scheme and entitled to specialist management training (two one week residential programmes) and a professional development budget. Championing equality, diversity, and inclusion The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages. On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will only be able to take up this role if they can demonstrate an alternative right to work in the UK. Key dates to note The closing date for applications is 20th July 2026. Unless stated otherwise, the closing time for applications is 11:59 pm (UK time). If you are applying from outside the UK, the closing time shown on our adverts will automatically adjust to your browser's local time zone.
Job Summary Grade UE07: £41,064 - £48,822 per annum, with an additional market pay supplement bringing the total salary to up to £60,000 per annum. CAHSS / Business School / Kodamai Limited. Full-time: 35 hours per week; Fixed-term: 27 months. Location: Primarily based at Kodamai Limited's office in central Glasgow. The University of Edinburgh and Kodamai Limited have been awarded a Knowledge Transfer Partnership (KTP) funded by Innovate UK to embed advanced predictive modelling and causal inference capabilities into Kodamai's secure-by-design AI agent platform. This innovative project will combine the expertise of Prof Gbenga Ibikunle (Finance) and Dr Zexun Chen (Predictive Analytics) at the University of Edinburgh Business School with Kodamai's rapidly growing AI platform to develop scalable, trustworthy forecasting solutions for the financial services sector. Kodamai Ltd is an early-stage start-up founded in Glasgow, U.K. We are pioneering a new era in the digital economy by building collaborative communities of AI agents. Our mission is to deliver a transformative wave of business automation, driving significant improvements in productivity, cost efficiency, and operational excellence. We aspire to become the future operating system for AI driven enterprises. We are passionate about cultivating a diverse and inclusive workplace, where unconventional thinking and scientific rigor are core to our approach. Kodamai leads with innovation, conducting original AI research and applying rigorous mathematical foundations to deliver unique solutions for our clients. We believe our employees are our greatest asset. We foster a supportive, unified team that values open communication, humility, honesty, and teamwork. We actively encourage diverse perspectives and problem solving, with a commitment to continuous learning and excellence. The Opportunity We are seeking an independent and motivated KTP Associate with expertise in predictive modelling, causal inference, applied mathematics, and statistics to drive the forecasting and decision science workstream of this ambitious project. Over 27 months, you will develop causal inference and probabilistic forecasting models for high-volume, heterogeneous data, build counterfactual "what if" analysis capabilities for marketing, pricing, and operations, and integrate these into Kodamai's production platform. Responsibilities & Scope Your work will span six stages: from data landscape assessment and foundation building, through data engineering and baseline models, causal inference and counterfactual analysis, probabilistic forecasting and deep reinforcement learning, to pilot implementation with finance sector customers, and finally evaluation, handover, and future roadmap planning. You will collaborate closely with a second KTP Associate focused on cybersecurity (Associate 1) to ensure the combined platform is both analytically powerful and secure. As part of this role, you will have the opportunity to publish research in top tier venues, develop production grade AI systems, and gain significant commercial exposure in the rapidly growing AI and fintech sectors. This post is full time (35 hours per week), primarily based at Kodamai Limited's offices in central Glasgow, with regular visits to the University of Edinburgh as required. The post will be jointly supervised by Dr Toby Smithe (CTO, Kodamai Limited) and the academic leads at the University of Edinburgh Business School (Dr Zexun Chen and Prof Gbenga Ibikunle). Whilst you will be employed by UoE, the details of your terms and conditions will be discussed further at interview. Benefits A competitive salary. An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community. Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the value of your pay and benefits. As a KTP Associate, you will be part of the national Knowledge Transfer Partnerships scheme and entitled to specialist management training (two one week residential programmes) and a professional development budget. Championing equality, diversity, and inclusion The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages. On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will only be able to take up this role if they can demonstrate an alternative right to work in the UK. Key dates to note The closing date for applications is 20th July 2026. Unless stated otherwise, the closing time for applications is 11:59 pm (UK time). If you are applying from outside the UK, the closing time shown on our adverts will automatically adjust to your browser's local time zone.
The University of Edinburgh
Edinburgh, Midlothian
Grade UE5: £29,588 - £33,951 per annum, pro-rata College of Science and Engineering / School of Chemistry Part-time: 8 hours per week Fixed-term: 36 weeks Alongside generative artificial intelligence (AI) technologies, modern translation software has rapidly evolved from producing static unreliable outputs to fast and accurate translations. In recent years, translations can also be applied to video, audio and in-person conversations-often live. At first glance, this is a good thing, levelling the playing field for non-native English speakers and enhancing cross-cultural communication. However, with students showing a growing dependency on these systems there are concerns that many are no longer developing the language skills that they require throughout their degrees. This study will continue an ongoing investigation into how students are currently making use of translation software during their studies, and develop guidance on how students may make use of this software effectively and appropriately during their studies. This study will primarily focus on students, both undergraduate and postgraduate, in the School of Chemistry and related Schools in the College of Science and Engineering, but results are expected to be highly relevant to other programmes across the University and UK Higher Education as a whole. Opportunity This position is an exciting opportunity for students currently studying at the University of Edinburgh to be involved in educational research and help direct teaching policies in future. This post is part time (8 hours per week). 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. On site work will be limited by the building opening hours (Mon Fri 8:30-17:30). Informal enquiries about this role are very welcome - you can contact Dr David August at for further information about the role. Your skills and attributes for success: Good research skills and an ability to analyse large data sets Proactive, resourceful and enthusiastic to learn new skills Excellent verbal and written communication skills Good organisational skills and time management Ability to work alone and in various teams As a valued member of our team, you can expect: A competitive salary. An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community. Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the value of your pay and benefits. Championing equality, diversity, and inclusion The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.
Grade UE5: £29,588 - £33,951 per annum, pro-rata College of Science and Engineering / School of Chemistry Part-time: 8 hours per week Fixed-term: 36 weeks Alongside generative artificial intelligence (AI) technologies, modern translation software has rapidly evolved from producing static unreliable outputs to fast and accurate translations. In recent years, translations can also be applied to video, audio and in-person conversations-often live. At first glance, this is a good thing, levelling the playing field for non-native English speakers and enhancing cross-cultural communication. However, with students showing a growing dependency on these systems there are concerns that many are no longer developing the language skills that they require throughout their degrees. This study will continue an ongoing investigation into how students are currently making use of translation software during their studies, and develop guidance on how students may make use of this software effectively and appropriately during their studies. This study will primarily focus on students, both undergraduate and postgraduate, in the School of Chemistry and related Schools in the College of Science and Engineering, but results are expected to be highly relevant to other programmes across the University and UK Higher Education as a whole. Opportunity This position is an exciting opportunity for students currently studying at the University of Edinburgh to be involved in educational research and help direct teaching policies in future. This post is part time (8 hours per week). 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. On site work will be limited by the building opening hours (Mon Fri 8:30-17:30). Informal enquiries about this role are very welcome - you can contact Dr David August at for further information about the role. Your skills and attributes for success: Good research skills and an ability to analyse large data sets Proactive, resourceful and enthusiastic to learn new skills Excellent verbal and written communication skills Good organisational skills and time management Ability to work alone and in various teams As a valued member of our team, you can expect: A competitive salary. An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community. Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the value of your pay and benefits. Championing equality, diversity, and inclusion The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.
