Sofia University

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

Ref.: 534136 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-track Professor/ Associate Professor/ Assistant Professor (several posts) at the School of Computing and Data Science (Ref. 534136), to commence on September 2026 or as soon as possible thereafter. The appointment rank will be determined based on the qualifications and experience of the successful candidate. For Assistant Professors, the appointment will initially be made on a three-year fixed-term basis, with the possibility of renewal and with consideration for tenure before the expiry of the second three-year fixed-term contract, subject to satisfactory performance. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms, subject to the University’s approval. The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http://www.cds.hku.hk. The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT / AIoT Security; Computer Vision; Computing & Big Data Systems; Data Analytics & Technologies; Data Privacy; Digital Forensics; FinTech; Generative AI; Large Language Models; Theoretical Computer Science; Quantum Computing. The appointees will be expected to contribute to undergraduate and postgraduate teaching, supervise graduate students, conduct high-quality research, and participate in administrative duties at CDS. Requirements A Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field A strong commitment to excellence in research and teaching and proven qualities of academic leadership. A solid track record in research. Outstanding and internationally recognised research achievements are essential for appointment at Professor level. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, professional leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. A start-up package that is commensurate with the needs and experience of the appointee will be provided. How to Apply The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., a research statement outlining current and future research plans and interests, a statement on teaching philosophy, relevant teaching evaluations, alongside three recent published research papers, and the contact information / recommendation letters of three referees. Review of applications will commence as soon as possible and continue until June 30, 2026 or until the posts is filled, whichever is earlier. Those who have responded to the previous advertisement (Ref.: 533072) need not re-apply. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

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