Fakir Mohan University

About Us ​​The Digital Health Hub Training Manager will play a key leadership role within the EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH), contributing to the professional services leadership of the Hub’s training arm. The role supports the delivery of skills development for individuals working at the healthcare-industry interface, fostering collaboration between digital innovators and the healthcare workforce to address real-world challenges in digital health. Sitting within a collaborative, multi-disciplinary environment, the Training Manager will work closely with colleagues across the Hub’s core pillars (Training, Co-design, Translation, and Acceleration) to ensure impactful and integrated training delivery aligned with the Hub’s overarching goals.  ​​About the role This role is an exciting opportunity to contribute to the professional services leadership of our EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH) as the Training Manager.  The training component of this Hub focuses on identifying and delivering the skills needed to train problem solvers who address real-life challenges at the healthcare–industry interface. The goal is to support the development of proactive individuals who can use relevant data and technologies to tackle real problems in digital health. Digital innovators and the healthcare workforce work together in a multi-disciplinary environment to develop safe and scalable solutions. The training arm of the Hub works collaboratively with the other Hub arms, including AI training, co-design strategies, entrepreneurship, industrial partner engagement, Patient and Public Involvement & Engagement (PPIE), digital health innovation, and the research pilots embedded in the Hub. The four core pillars are Training, Co-design, Translation & Acceleration.  Organised and delivery-focused, you will join an established team and bring experience in gathering, interpreting, and presenting data to demonstrate impact. Experience of matrix working would be beneficial, as the programme facilitates collaborative efforts to identify and overcome barriers to effective integration and translation across disciplines. You will work closely with subject matter experts and the learning technologist to maintain and enhance existing asynchronous training resources, as well as create new engaging materials for a range of audiences in digital health. The role also supports the delivery of in-person training, from advertising and bursary coordination to post-course feedback collection.  The successful candidate will collaborate with the learning technologist to understand the learning objectives of course participants and engage with supporters, patients, and the public in workshops led by participants. These workshops provide opportunities to share learning experiences and offer feedback on the structure and content of the taught material.  Onsite working will be required for effective collaboration across the Digital Health Hub, with the expectation that the successful candidate will work onsite at least three days per week.  This is a full time post (35 hours per week), and you will be offered ​a fixed term​ contract until 31.03.27. About You ​​To be successful in this role, we are looking for candidates to have the following skills and experience:  Essential criteria ​Strong project/programme management experience, including good IT skills (Microsoft suite). ​A degree in a science or health-related field, or relevant experience, and familiarity with medical/scientific/AI terminology. ​Customer focused, with excellent communication skills both verbal and written: ability to write coherently, and in good English, to a range of audiences across a range of academic disciplines. ​Proactive, ability to work independently, problem solve and use initiative. ​Experience of managing relationships with a range of stakeholders. ​Experience of impact/non-financial outcomes measurement, analysis and reporting ​Experience with communication strategies, such as effective use of social media and websites ​Budget management experience.  ​Desirable criteria ​Knowledge of AI, and knowledge of evaluation and impact measurement techniques and analysis. ​Marketing and market research experience. ​Experience of designing or commissioning education or learning events. ​Web design and UX skills. ​Line management experience and experience of matrix working. ​Downloading a copy of our Job Description ​Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.  Further Information ​​We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. ​We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. ​As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.  ​We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £53,947 - £63,350 per annum, including London Weighting Allowance Job ID: 134826 Close Date: 11-Jan-2026 Contact Person: ​Professor Rebecca Oakey Contact Details: Rebecca.oakey@kcl.ac.uk​

Description The Mathematics Program in the Science Division, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa Sabri. The Mathematics Program at NYUAD is quickly expanding, the candidate will find many international experts and postdocs with whom to interact. Weekly seminars are in place across the various research areas represented at NYUAD. The successful applicant will also receive a mobility credit to participate in conferences. Applicants must have a PhD in Mathematics, with a strong background in one of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics. For consideration, applicants need to submit a cover letter, a curriculum vitae with a full publication list, a research statement, a transcript, and at least two letters of reference, all in PDF format. Shortlisted candidates will be interviewed twice. In the first interview, the candidate will give a talk summarizing earlier research. The second interview will be to discuss a research project in collaboration with Mostafa Sabri around the aforementioned topics. Candidates are advised to reflect upon such collaborations and include them in the research statement before applying. The duration of the postdoc is for 2 years, with a probation period of 6 months. The starting date is flexible but most likely to be in Fall 2025. If you have any questions, please email Mostafa Sabri at mostafa.sabri@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhabi: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development. Preferred Qualifications: Experience in the following will be preferred: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from monitoring systems Validation of modeling results against experimental and monitoring data Postdoctoral Associate Employment at NYUAD: The terms of employment include highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children as well as other benefits. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Mostafa Mobasher at mostafa.mobasher@nyu.edu. Applications may be submitted on https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.