Foundation for Professional Development (FPD)

Ref.: 534117 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 534117) We now invite applications for the captioned post. Duties and Responsibilities Assist in collaborative multi-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing manuscripts, drafting and submitting competitive internal and external grants Perform other duties as assigned Requirements A Ph.D. degree with a strong research background in bioinformatics, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics, proteomics and metabolomics data A good command of written and spoken English Strong communication skills A demonstrated track record of publishing academic research papers Self-motivated, hardworking, and able to work well in an interdisciplinary team What We Offer The appointee would be exposed to ample opportunities in developing an academic career. The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. Those who have responded to the previous advertisement (Ref.: 533560) need not re-apply.  How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from [two weeks from posting] and continue until [one month from posting], or until the post is filled, whichever is earlier The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

We are seeking an enthusiastic and experienced senior research fellow to work on a £1m EPSRC-funded project to develop human-centred AI methods that can support and enhance intelligence analysis for national security and defence. The ‘AiTASHA’ project (AI Intelligence Triage & Acquisition Support for Human-centred Analysis) aims to improve the speed and confidence of intelligence analysts’ assessments by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets, to identify indicators and warnings of hostile or malicious activities. Analysts must make these assessments rapidly in a highly-pressured and resource-constrained environment, where they face difficult choices of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale and complexity of intelligence datasets, as well as the threat posed to UK safety, are growing, and existing AI support tools primarily focus on the identification and visualisation of patterns within datasets, without due consideration of human understanding or context, defensibility, and representation of uncertainty. The goal of this ambitious project is to make fundamental advances that will together underpin and enable a future explainable, defensible AI system that can complement, rather than replace, the work of intelligence analysts; recommending which existing data should be prioritised for human review and which potential new data should be prioritised for acquisition. To address this challenge we will advance the state-of-the-art across multiple component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications to intelligence analysis. This role will involve developing and applying methods for eliciting knowledge from expert analysts in order to encode understanding of their mental models into a machine learning model, using dynamic Bayesian networks to understand, propagate and reduce uncertainty in their assessments. The research will apply models of distributed situation awareness and ecological interface design techniques to develop a novel human-centred human-AI teaming model. The researcher will also be working closely with colleagues in statistical / graphical modelling as well as AI ethics, and will therefore need to be conversant in these areas. The role will be based at the University of Southampton as part of an interdisciplinary consortium on the AiTASHA project, which is led by the Alan Turing Institute and also includes the universities of Warwick, Cardiff and Dundee, working closely with UK government defence and national security partners. The successful candidate will join this vibrant and interdisciplinary team of researchers and will have frequent opportunities to engage with internal stakeholders and external government partners throughout the delivery of the project. During the project it is expected that they will work as part of a small tight-knit cohort of Early Career Researchers spanning the AiTASHA consortium universities. Please apply by uploading your CV and a Cover Letter. To be eligible for this role it is a funder requirement that you are a UK National or have been residing the in the UK for 5 years or more, and be happy to be put forward for a Security Check (SC) clearance. Please confirm the following information in your cover letter: Your current and any former nationalities That you have been residing in the UK for the past 5 years

About the Role Maintenance Technician - Plumber 40 hours per week Monday-Friday. We are seeking a skilled and motivated Maintenance Plumbing Technician to join our Estates and Facilities team. You will play a key role in ensuring the smooth operation of our campus facilities by undertaking statutory and planned maintenance tasks, as well as reactive repairs and minor works. This is an excellent opportunity for a proactive individual with a can-do attitude. Key Responsibilities Perform statutory plumbing maintenance tasks, including inspections and testing to ensure compliance with health and safety regulations. Carry out planned and reactive maintenance and minor works on plumbing systems, including pipework, sanitaryware, and drainage,  Diagnose and repair faults in plumbing installations across campus facilities. Respond promptly to emergency callouts and resolve issues efficiently to minimise disruption. Collaborate with other maintenance teams and contractors to support broader facilities projects. Maintain accurate records of work completed, ensuring compliance with university policies and procedures. Uphold high standards of health and safety, adhering to all relevant regulations and guidelines. Qualifications and Skills Essential:  NVQ Level 2/3 in Plumbing or equivalent recognised qualification. Proven experience in plumbing maintenance, ideally within a commercial or live public sector environment. Knowledge of statutory compliance requirements for plumbing systems (e.g., Legionella testing, water regulations). Strong problem-solving skills and the ability to work independently or as part of a team. Excellent communication skills and a customer-focused approach. A proactive, can-do attitude with a commitment to delivering high-quality work. Desirable: Familiarity with Building Management Systems (BMS) or other facilities management software. Additional qualifications in related trades (e.g., gas safety, heating systems). A full UK driving licence and the ability to participate in an out of hours call out rota are essential. What we can offer you: We offer some fantastic benefits including generous annual leave (plus University closure days and bank holidays), company pension scheme, discounted private healthcare and dental, company sick pay, cycle to work scheme, learning and development opportunities, options for flexible working, excellent family leave arrangements, employee wellbeing service, a wide variety of on and off-campus arts and culture facilities and access to a range of staff discounts and offers at local shops, restaurants and service providers.