Jobs and Studentships

The Department of Psychology is seeking a Teaching and General Office Administrator to join our inclusive and friendly professional services team. This role provides an exciting opportunity to be part of a supportive department, proactive in providing training and career development opportunities for all staff.

The department is a teaching and research department in the School of the Biological Sciences, with approximately 200 academic, research, support staff and visitors, plus approximately 100 postgraduate students on either one- or three-year programmes. The department is responsible for teaching approximately 350 undergraduate students on a range of courses, and this is a key role providing the underpinning administrative support for our undergraduate education programmes. In post, you will make an important contribution to the continued development of our teaching office.

You will be based in the main Psychology building and will report to the Teaching Office Manager, as well as working closely with the Course Directors and the Deputy Head for Teaching, liaising on a regular basis with colleagues in the School of Biological Sciences, other teaching departments, and the University's central offices. Key responsibilities will include maintaining course information and databases, acting as a key contact for students and staff, organising teaching-related events and meetings, and supporting online teaching resources,

In addition, within this interesting and varied post, you will provide an administrative support to other offices within the department to facilitate efficient operations, working closely with colleagues in a range of areas, including HR, Finance and Grants.

Applicants should have excellent interpersonal and communication skills and a good standard of written and spoken English. The role requires previous administrative experience and excellent IT skills. The role holder must be able to multitask and work on their own initiative, in addition to working as part of a team.

What we Offer The University of Cambridge offers excellent benefits, extensive opportunities in a stimulating environment.

The University salary structure includes automatic service-related pay progression in many of its grades and an annual cost of living increase. In addition to this, employees are rewarded for outstanding contribution through a number of regular pay progression schemes. Staff also benefit from a generous annual leave entitlement.

The University offers employees a wide range of competitive benefits, from health care cash plans to childcare, a cycle to work scheme, to shopping and insurance discounts.

University-led initiatives in the areas of equality, diversity and wellbeing include staff and students networks. These include the Women's Staff Network, the Disabled Staff Network, the Black, Asian and Minority Ethnic Staff Network, Parents and Carers and the LGBT+ Network. We also hold a wide range of Equality and Diversity events on a regular basis.

Wellbeing at Cambridge is a university-wide initiative aiming at supporting and maximising the health and wellbeing of staff. It encompasses a network of Wellbeing Advocates, who provide guidance and general signposting about wellbeing issues, including mental or physical health and Dignity @ Work concerns.

The University offer a range of family-friendly policies, including maternity, adoption and shared parental leave. In addition, workplace nurseries, childcare vouchers, a childcare salary sacrifice scheme and a high-quality holiday play scheme are available to help support University employees with caring responsibilities

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The role will involve limited evening/weekend/bank holiday (May) work during the examination periods, at other busy times, such as the start of the academic year, and for specific events This position is offered either full time, or part-time four days a week (or five shorter days). The department offers flexible and hybrid working opportunities.

Informal enquiries are welcomed. Please contact Richard Sellens: rs829@cam.ac.uk

Please quote reference PJ36868 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

The Department of Psychology is seeking to appoint an enthusiastic and experienced Assistant Archivist to improve discoverability of the Departmental archives. The archives cover the work of the Department and its eminent psychologists, with material dating from the late nineteenth century to the present day.

Working alongside the Psychology Librarian in the Department of Psychology, the Assistant Archivist will provide access to the archives, and improve the physical storage and arrangement of the items. They will catalogue and index the collections to internationally accepted standards and make them available to researchers through the University Library Archive Management System.

The ideal candidate will be a qualified archivist with experience of working with manuscripts and archival collections in an academic/research library. They will have proficient knowledge of archival cataloguing standards and experience of supporting stakeholders including professional colleagues, collection donors, and researchers.

Fixed-term: The funds for this post are available for 1 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Informal enquiries are welcomed. Please contact Sarah Crudge: sec200@cam.ac.uk

Please quote reference PJ36806 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

The Department of Psychology is seeking a friendly and enthusiastic full-time Receptionist to provide a professional and welcoming reception for all staff, students and visitors to the department. Psychology is a large teaching and research department in the School of Biological Sciences and has approximately 150 members of staff, including 30 academics. The department also has around 100 postgraduate students. We offer a welcoming, friendly work environment where you will feel valued, encouraged to develop and supported to achieve your full potential.

You will be based full time in the main Psychology building in central Cambridge and will be responsible for dealing with and directing visitors, answering telephone and email inquiries to the Department. You will deal with incoming and outgoing mail and receipt of deliveries. The Receptionist also assists with the day-to-day security of the main building of the department.

You should have good interpersonal and communication skills and a good standard of written and spoken English. The role requires good IT skills and proven customer service experience either in a reception area or other customer-facing role. You must be able to multi task and work calmly under pressure to fulfil the duties and present a helpful attitude to visitors or callers.

What we Offer:

Our professional services staff play a fundamental role in the School's academic vision of the pursuit of education and research at the highest levels of excellence. The University of Cambridge offers excellent benefits, extensive opportunities in a stimulating environment.

The University salary structure includes automatic service-related pay progression in many of its grades and an annual cost of living increase. In addition to this, employees are rewarded for outstanding contribution through a number of regular pay progression schemes. Staff also benefit from a generous annual leave entitlement.

The University offers employees a wide range of competitive benefits, from health care cash plans to childcare, a cycle to work scheme, to shopping and insurance discounts.

University-led initiatives in the areas of equality, diversity and wellbeing include staff and students networks. These include the Women's Staff Network, the Disabled Staff Network, the Black, Asian and Minority Ethnic Staff Network, Parents and Carers and the LGBT+ Network. We also hold a wide range of Equality and Diversity events on a regular basis.

Wellbeing at Cambridge is a university-wide initiative aiming at supporting and maximising the health and wellbeing of staff. It encompasses a network of Wellbeing Advocates, who provide guidance and general signposting about wellbeing issues, including mental or physical health and Dignity @ Work concerns.

The University offer a range of family-friendly policies, including maternity, adoption and shared parental leave. In addition, workplace nurseries, childcare vouchers, a childcare salary sacrifice scheme and a high-quality holiday play scheme are available to help support University employees with caring responsibilities

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Informal enquiries are welcomed. Please contact Fiona Lyall Grant: hr@psychol@cam.ac.uk

Please quote reference PJ36700 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A Research Associate (post-doc) or Research Assistant position in AI and Neuroinformatics is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab (https://www.abg.psychol.cam.ac.uk).

The position will focus on developing and translating AI-guided tools for a) understanding brain processes underlying cognition (e.g. learning and brain plasticity), b) early detection of brain and mental health disorders to inform clinical practice (healthcare, clinical trials). The research will involve working on research cohort and clinical data, developing and applying machine learning models to synthesise biological (brain imaging, genetic) and cognitive, epidemiological data, validating AI-guided tools in clinical data, translating these tools for adoption in healthcare and industry settings.

The research activity is at the core of a Wellcome Trust funded Innovator Award that brings together multidisciplinary experts in neuroscience (Prof Zoe Kourtzi, Adaptive Brain Lab), machine learning (Prof Carola Schönlieb, Department of Applied Maths and Theoretical Physics, Cambridge Image Analysis (CIA) Group), clinical practice (Dr Tim Rittman, Clinical Neuroscience), clinical informatics (Prof Guy Williams, Clinical Neuroscience) with healthcare innovation (Eastern AHSN) and pharmaceutical industry partners (AstraZeneca). Our work on early prediction of dementia has already gathered significant media interest (e.g. https://www.bbc.co.uk/news/health-57934589) and has potential to deliver transformative applications in clinical practice.

You will receive multi-disciplinary research training at the interface between machine learning, neuroscience, and clinical translation. You will be an integrated member of the Cambridge Image Analysis (CIA) Group at the Department of Applied Mathematics and Theoretical Physics and the Cambridge Mathematics of Information in Healthcare Hub: https://www.cmih.maths.cam.ac.uk lead by Prof Carola Schönlieb. These centres foster collaborations between mathematics, statistics, computer science, medicine and industry (e.g. AstraZeneca) aiming to develop analytics tools for healthcare. You will work with teams at the Alan Turing Institute (https://www.turing.ac.uk), the EDoN Initiative (https://edon-initiative.org) spearheaded by Alzheimer's Research UK, b) the Data Science and Neuroscience teams at AstraZeneca.

Applicants should have a Masters and/or First Degree for Research Assistant, PhD (or submitted at time of appointment) for Research Associate, together with a strong academic track record, in a relevant area (e.g., Data Science, Biostatistics, Computer Science, Mathematics, Engineering, Neuroscience, Medicine). Programming skills are highly desirable and experience with machine learning, data science, computational neuroscience, biostatistics, or clinical neuroscience are highly beneficial. Above all, they will demonstrate enthusiasm to contribute new knowledge, openness to learn new approaches and willingness to contribute to a multidisciplinary team across sectors (academia, healthcare industry).

Fixed-term: The funds for this post are available for 24 months in the first instance with potential for extension (up to 3 years).

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Fixed-term: The funds for this post are available for 24 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

For informal inquiries, please contact Professor Zoe Kourtzi at zk240@cam.ac.uk

Closing Date: Sunday 4th June 2023 at 12 Midnight

Interviews: TBC

Please quote reference PJ36603 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A post-doctoral Research Associate position in Integrative Neuroimaging is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab, Univ of Cambridge, UK (http://www.abg.psychol.cam.ac.uk).

The position will focus on the development of neuroimaging methods and their translation to human and animal neuroimaging studies of cognition focusing on learning and brain plasticity. Our studies combine ultra-high field brain imaging (7T fMRI, MR Spectroscopy), electrophysiology (EEG), genetics, interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity.

The research activity is at the core of a Wellcome Trust funded Collaborative award that brings together a cross-disciplinary team of international experts to investigate the role of brain network dynamics for adaptive behaviour. Our research programme bridges work across scales (local circuits, global networks) and species (humans, mice) to uncover the neurocomputations that support learning and brain plasticity. Our work capitalises on cutting-edge methodological developments in our team: a) human and animal ultra high-field MR Spectroscopy and functional brain imaging (Emir lab, Purdue; Kourtzi lab, Cambridge), b) neuroengineering tools including optical GABA sensors (Looger lab: UCSD) and electrophoretic drug delivery (Malliaras lab, Cambridge), cellular imaging, optogenetics, electrophysiology neuropharmacology (Paulsen, Dalley, Poort labs, Cambridge; Rusakov lab: UCL).This international collaborative network provides unique opportunities for cross-disciplinary training in innovative methodologies at the interface of neuroscience and computational science.

Research in the Adaptive Brain lab aims to understand how humans of all ages (healthy and patients with neurocognitive disorders) translate sensory experience into complex decisions and adaptive behaviours by taking into account previous experience and learning. We develop cross-disciplinary approaches to study the young and ageing brain and understand adaptive behaviours in health and neurocognitive disorders.

You will receive multi-disciplinary research training at the interface between neuroscience and computational sciences. You will be integrated in a diverse collaborative team and will have the opportunity to participate in workshops and retreats across the network as well as exchange visits across labs to facilitate cross-disciplinary training and collaborative working.

Applicants should have a PhD (or submitted at time of appointment) together with a strong academic track record, in a relevant area (e.g., Neuroscience, Cognitive Psychology, Medicine, Genetics, Mathematics, Engineering, Computer Science, Medicine). Programming skills are highly desirable and experience with brain imaging, EEG, computational modeling preferable. Above all, they will demonstrate enthusiasm to contribute new knowledge, openness to learn new approaches and willingness to contribute to a multidisciplinary team across sectors (academia, industry).

Fixed-term: The funds for this post are available for 24 months in the first instance with potential for extension up to 4 years.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

For informal inquiries, please contact Professor Zoe Kourtzi at zk240@cam.ac.uk

Closing Date: Sunday 4th June at 12 Midnight

Interviews: TBC

Please quote reference PJ36589 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

An opportunity has arisen for a talented post-doctoral neuroscientist or probabilistic machine learning methods developer to work with Drs. Richard Bethlehem (Psychology), Stephen Eglen (DAMTP) and Bertrand Thirion (Inria) at the Department of Psychology, Cambridge University, as part of a project funded by the Centre for Integrative Neuroscience Discovery to work on building reproducible open workflows for network analyses. The project is part of a larger strategy for building a cross-disciplinary neuroinformatics core within Cambridge Neuroscience to help all Cambridge neuroscientists with broader questions around handling and processing of neural data.

The principal aim of the present project is to build a reproducible open workflow for network analysis of biological networks. The postholder would be responsible for scoping and prototyping of the workflow, selection appropriate methods for inclusion and coding and documenting the workflow as part of research team. Data for testing and benchmarking is already available within the group. The postholder will also provide support on ongoing and future research integrative network analyses. Previous research experience with programming in Python and a solid understand of statistical network analyses are essential. Experience with (open-source) software development and neuroimaging data are highly desirable.

Please refer to the attached 'Further particulars' for more information about the responsibilities and requirements for the role.

Fixed-term: The funds for this post are available until July 2024 in the first instance.

Please ensure that you upload a covering letter and a CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which should be your most recent line manager

Fixed-term: The funds for this post are available for 12 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

For informal inquiries, please contact Dr. Richard Bethlehem at rb643@cam.ac.uk

Closing Date: Tuesday 23rd May 2023 at 12 Midnight

Interviews: TBC

Please quote reference PJ36534 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Applications are invited for a Research Programme Manager to support and manage the programme of research at the Adaptive Brain Lab: ABL (http://abg.psychol.cam.ac.uk) in the Department of Psychology, University of Cambridge. The position is offered either full time or part-time, 30 hours per week.

You will have responsibility for co-ordinating research activity, managing a number of large scale grants and providing a broad range of administrative services to support ABL's diverse and cross-disciplinary research programme in day-to-day running. The ABL team works in the area of cognitive neuroscience with an emphasis on understanding the neural basis of human learning and cognition. In collaboration with computer scientists, engineers and clinicians the lab leads a cross-disciplinary research programme for early prediction of brain health disorders.

The Department of Psychology is a friendly and welcoming department of staff and students, dedicated to the pursuit of world-class research, teaching and learning, and driven by curiosity, quality, collaboration and innovation. We offer a supportive work environment where you will feel valued, encouraged to develop, and supported to achieve your full potential.

The Research Programme Manager is a wide-ranging position, which would suit a self-motivated, dynamic individual who is experienced in working in a diverse team and able to perform effectively under multiple demands. This includes pre- and post-award research grant administration, co-ordinating the production of research documentation, financial management of resources, organising research ethics and databases and ensuring research compliance for studies. You will manage large scale grants in order to ensure efficient and effective operation of the lab, develop strategy in relation to funding applications, and co-ordinate team science activities (e.g. meetings, workshops) across research teams and external partners (e.g. industry, charities).

You should be educated to first degree level and have some administrative experience, ideally within a research setting. Excellent organisational skills with the ability to prioritise tasks effectively, meet objectives and milestones are essential, as is a meticulous attention to detail. Comprehensive IT skills for administration including the use of databases are required. You will have a high standard of numeracy with proven ability in budget creation and managing resources are essential. You are expected to demonstrate a proven ability to summarise information and provide advice, manage and communicate with diverse teams, meet deadlines and support delivery of research outputs and provide a high level of professional service in the daily management of ABL.

Limited funding: The funds for this post are available for 2 years in the first instance, with the possibility of an extension.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Informal inquiries about this post are welcomed and may be sent to Prof Zoe Kourtzi (zk240@cam.ac.uk), Principal Investigator of ABL.

Please quote reference PJ36166 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Applications are invited for a Research Assistant to support Professor Mark Johnson, Head of Psychology and Dr Sarah Lloyd-Fox. This exciting role is embedded within the research team of the Perinatal Imaging in Partnership with Families (PIPKIN) Study (https://www.pipkinstudy.com), which is investigating fetal behaviours, early brain development, cognitive functioning and behaviour across pregnancy and early postnatal life in the context of the infant's social world and their environment.

The Research Assistant will provide a critical foundation for the team by providing a high level of research assistance at the hospital, home and research lab study sessions and administrative support for team members in order to ensure smooth running and success of the project. The post will be based in Central Cambridge in the Department of Psychology at the Downing Site.

This is a wide-ranging position, which would suit a self-motivated individual who is experienced in working in a diverse team and able to perform effectively under multiple demands.

Applicants should be educated to first degree level, have experience of working with infants and/or children, ideally within a scientific research setting. This post will allow the candidate to develop their skills in a range of areas including creating positive working relationships with families across pregnancy, parenting and early life; data collection across a range of research tools (i.e. fNIRS, EEG, ultrasound, NBAS, naturalistic home environment recordings); and data curation and analysis.

Excellent organisational and IT skills, ability to work independently and the ability to prioritise tasks effectively are essential, as is meticulous attention to detail.

Fixed-term: The funds for this post are available for 18 months in the first instance with the possibility of a 12 month extension depending on funding.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a Disclosure and Barring Service check (enhanced with children and adults' barred lists).

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

For informal inquiries, please contact Dr. Sarah Lloyd-Fox at sl868@cam.ac.uk and/or Noelia Corral Ferre at pipkincoordinator@psychol.cam.ac.uk

Closing Date: Wednesday 19th April at 12 Midnight

Interviews: 2nd May and/0r 3rd May 2023

Please quote reference PJ35980 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Applications are invited for a postdoctoral research associate position to study the role of GABAergic mechanisms in visual perceptual learning, based in the laboratories of Professor Jeff Dalley (Department of Psychology) and Dr Steve Sawiak (Department of Physiology, Development and Neuroscience) at the University of Cambridge.

The successful candidate will investigate how GABAergic signalling in the visual cortex contributes to the speed and accuracy of visual discrimination learning. The project will investigate the relationship between GABA release, assessed using ultra-high-field magnetic resonance imaging, and behavioural performance on a touchscreen based visual discrimination and detection task. Mechanistic insights will be informed using pharmacological interventions to selectively increase or decrease the availability of GABA in the extracellular compartment. GABA-targeting compounds will be delivered locally in the visual cortex using state-of-the-art drug-delivery devices developed in Cambridge (Prof. Malliaras, Department of Engineering).

Applicants should have completed a PhD in neuroscience, biology, experimental psychology, bioengineering, or other relevant disciplines. We are looking for someone with previous experience in behavioural neuroscience and psychopharmacology in rodents, with strong data analysis skills (e.g. Matlab or Python). Experience with magnetic resonance imaging would be desirable, but is not essential.

The research position is available from May 2023 for an initial 2-year period with the possibility of an extension for up to a further 3 years.

In addition to the covering letter, CV, and contact details of 2 referees, applicants are asked to provide a brief statement (500 words) describing the questions and approach they consider important for the study of the role of cortical inhibition in visual learning and their future career ambitions.

The research activity is at the core of a new Wellcome Trust-funded Collaborative Award, which brings together a cross-disciplinary team of international experts to investigate the role of GABAergic inhibition in regulating brain network dynamics for adaptive behaviour. The work programme bridges work across species (mice, humans) and scales (local circuits, global networks) to uncover the network and neurochemical mechanisms that support learning and brain plasticity. The work capitalises on cutting-edge methodological developments in our team: a) human and animal ultra-high-field MR spectroscopy and functional brain imaging (Emir lab, Purdue; Kourtzi and Sawiak lab, Cambridge), b) neuroengineering tools including optical GABA sensors (Looger lab: UCSD) and electrophoretic drug delivery devices (Malliaras lab, Cambridge), cellular imaging, optogenetics, electrophysiology, neuropharmacology (Dalley, Paulsen, Poort labs, Cambridge; Rusakov lab: UCL).

This international collaborative network provides unique opportunities for cross-disciplinary training in innovative methodologies at the interface of animal and human neuroscience, neurotechnology and computational science. Successful applicants will be integrated in a diverse collaborative team and will have the opportunity to participate in workshops and retreats across the network as well as exchange visits across labs to facilitate cross-disciplinary training and collaborative working.

Fixed-term: The funds for this post are available for 2 years in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

For informal inquiries, please contact Professor Jeff Dalley at jwd20@cam.ac.uk and/or Professor Steve Sawiak at sys80@cam.ac.uk

Closing Date: Monday 27th March at 12 Midnight

Interviews: TBC

Please quote reference PJ35739 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

We are looking for an experienced PA to support the Head of Department and the Departmental Administrator in the Department of Psychology, based in historic central Cambridge. We offer a welcoming, friendly work environment where you will feel valued, encouraged to develop and supported to achieve your full potential.

The Department of Psychology is a large teaching and research Department in the School of Biological Sciences with approximately 30 Academics, 150 members of staff and 100 postgraduate students.

You will provide a comprehensive PA service to the Head of Department and the Departmental Administrator to support the efficient and effective management of their time and work. You will ensure the successful management of collaborative/administrative projects involving a range of university departments and external institutions, by putting in place all requisite processes and procedures. You will also prepare for and attend meetings, record the minutes and act on administrative tasks that may arise out of committee meetings. You will oversee department visitor applications, and organise and manage events and seminars for the department. This is an interesting and varied role, which includes some HR administration duties in conjunction with the HR team, as well as event management and occasional cover for reception.

You will have a proactive and flexible approach to your work and will have relevant PA/administrative experience. You will have excellent IT skills and exceptional written, verbal and organisational skills. You will be able to use your own initiative as well as having the ability to work both independently and as part of a friendly and supportive team.

What we Offer:

The University salary structure includes automatic service-related pay progression in many of its grades and an annual cost of living increase. In addition to this, employees are rewarded for outstanding contribution through a number of regular pay progression schemes. Staff also benefit from a generous annual leave entitlement.

The University offers employees a wide range of competitive benefits, from health care cash plans to childcare, a cycle to work scheme, to shopping and insurance discounts.

University-led initiatives in the areas of equality, diversity and wellbeing include staff and students networks. These include the Women's Staff Network, the Disabled Staff Network, the Black, Asian and Minority Ethnic Staff Network, Parents and Carers and the LGBT+ Network. We also hold a wide range of Equality and Diversity events on a regular basis.

Wellbeing at Cambridge is a University-wide initiative aiming at supporting and maximising the health and wellbeing of staff. It encompasses a network of Wellbeing Advocates, who provide guidance and general signposting about wellbeing issues, including mental or physical health and Dignity @ Work concerns.

The University offer a range of family-friendly policies, including maternity, adoption and shared parental leave. In addition, workplace nurseries, childcare vouchers, a childcare salary sacrifice scheme and a high-quality holiday play scheme are available to help support University employees with caring responsibilities

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Informal enquiries are welcomed. Please contact Jo Simmonds: jms311@cam.ac.uk

Please quote reference PJ35639 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A post-doctoral Research Associate position in AI for Brain Sciences is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab (https://www.abg.psychol.cam.ac.uk).

The position will focus on developing and translating AI-guided tools for a) understanding brain processes underlying cognition in health and disease, b) early detection of brain and mental health disorders to inform clinical practice (healthcare, clinical trials).

The research will involve working on research cohort and clinical data, developing and applying machine learning models to synthesise biological (brain imaging, genetic) and cognitive, epidemiological data, validating AI-guided tools in clinical data, translating these tools for adoption in healthcare and industry settings.

The research activity is at the core of a Wellcome Trust funded Innovator Award that brings together multidisciplinary experts in neuroscience (Prof Zoe Kourtzi, Adaptive Brain Lab), machine learning (Prof Carola Schönlieb, Department of Applied Maths and Theoretical Physics, Cambridge Image Analysis (CIA) Group), clinical practice (Dr Tim Rittman, Clinical Neuroscience), clinical informatics (Prof Guy Williams, Clinical Neuroscience) with healthcare innovation (Eastern AHSN) and pharmaceutical industry partners (AstraZeneca). Our work on early prediction of dementia has already gathered significant media interest (e.g. https://www.bbc.co.uk/news/health-57934589) and has potential to deliver transformative applications in clinical practice.

The successful applicant will receive multi-disciplinary research training at the interface between machine learning, neuroscience, and clinical translation. They will work with teams at the Alan Turing Institute (https://www.turing.ac.uk), the EDoN Initiative (https://edon-initiative.org) spearheaded by Alzheimer's Research UK, b) the Data Science and Neuroscience teams at AstraZeneca.

Applicants should have a PhD (or submitted at time of appointment) together with a strong academic track record, in a relevant area (e.g., Neuroscience, Data Science, Biostatistics, Computer Science, Mathematics, Engineering, Medicine). Programming skills are highly desirable and experience with machine learning, data science, computational neuroscience, biostatistics, or clinical neuroscience are highly beneficial. Above all, they will demonstrate enthusiasm to contribute new knowledge, openness to learn new approaches and willingness to contribute to a multidisciplinary team across sectors (academia, healthcare industry.

Fixed-term: The funds for this post are available for 12 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

For informal inquiries, please contact Professor Zoe Kourtzi at zk240@cam.ac.uk

Closing Date: Sunday 26th March 2023 at 12 Midnight

Interviews: TBC

Please quote reference PJ35633 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.