Griffith University

Description The Center for Behavioral Institutional Design, New York University Abu Dhabi, seeks to recruit several postdoctoral researchers interested in exploring the origins of human behavioral diversity, developing empirically-informed models of human behavior, and designing innovative institutions and policies for promoting social welfare. C-BID offers a vibrant and stimulating research environment, with opportunities to engage in high-impact projects and collaborations. Postdoctoral researchers join an active international community of scholars and fellow postdocs and benefit from a world-class seminar series. The Center also hosts numerous workshops, conferences, and other academic events that foster collaboration, idea exchange, and visibility, providing an exceptional platform for advancing researchers’ work and academic careers. The ideal candidate is highly ambitious, well-trained, self-motivated, hard-working, equally capable of working alone and as part of a team, and holds a PhD in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally, a combination of these methods. Excellent communication skills in English, the ability to work in multidisciplinary teams, and scientific creativity are essential. Successful applicants are expected to publish research in leading peer-reviewed journals in social science or leading interdisciplinary journals, and work both individually and in close collaboration with the C-BID team: Olivier Bochet, Nikos Nikiforakis, and John Wooders. The position provides a salary higher than internationally competitive rates for postdoctoral research positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. Appointments will be for two years, renewable for at least one additional year conditional on a satisfactory evaluation of performance. Applications will be accepted on a rolling basis and candidates will be considered until the positions are filled. To be considered, applicants must submit a cover letter, a curriculum vitae, a research statement highlighting past and current research experience, a transcript and at least two reference letters, all in PDF format. Note that this position is NOT located in the United States. You must be willing to relocate to Abu Dhabi, UAE. For any questions, please email: Nikos Nikiforakis (n.nikiforakis@gmail.com) or John Wooders (john.wooders@nyu.edu). About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.  NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.

Job Purpose: The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement scene mapping, environment perception, and path-planning algorithms using LiDAR and RADAR data to support evacuation guidance and first-responder navigation. Build real-time predictive models for fire intensity and spread forecasting and integrate LLM-based scene description and decision support into an end-to-end deployable system. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through projects, internships, or research assistantships considered sufficient. Prior experience in publishing is desirable.

About the role We are seeking an organised, detail‑oriented Clinical Research Data Integration Coordinator to work within the Cancer B‑cell Group on the CRUK Accelerator Programme “Early Cancer Research Initiative Network on Monoclonal B‑cell Lymphocytosis (ECRIN‑M3)”, led by Professor Francesco Forconi. You will be based in the School of Cancer Sciences, working closely with clinicians, scientists and data specialists to turn real‑world clinical information into clean, analysis‑ready research datasets from patients with leukaemia (e.g. Chronic lymphocytic leukaemia) and lymphomas (e.g. Follicular lymphoma). Your primary responsibility will be to systematically extract and curate clinical data from medical records (electronic patient record systems and, where applicable, paper notes) and integrate these data into research databases and linked study systems. You will play a central role in maintaining data quality, provenance, and completeness, ensuring robust, reproducible data flows from recruiting sites. For candidates with relevant interest and experience, there will be opportunities to contribute to analysis support (e.g., descriptive analyses, QC/consistency checks, basic survival summaries) and to develop/manage data pipelines (ETL, validation rules, automation, dashboards) in collaboration with the Clinical Informatics Research Unit (CIRU). What you’ll do Extract and abstract clinical variables from medical records into structured formats aligned to the protocol and data dictionaries. Curate, validate and reconcile clinical data with laboratory/biomarker and study datasets; resolve data queries with clinical teams. Integrate data into research repositories (e.g., BC Platforms) following SOPs, with clear documentation of provenance and versioning. Maintain data dictionaries, mapping tables and coding standards. Monitor completeness and quality; run routine QC/consistency checks; manage data corrections and audit trails. Liaise with recruiting sites, research nurses and international collaborators to support timely, accurate data flows. Adhere to information governance, confidentiality and research ethics requirements (e.g., GDPR, ethical approvals, data access controls). Contribute to analyses, dashboards and automated validation/ETL pipelines using SQL/Excel and/or R/Python, support simple visualisations and reports for investigators. About you Experience extracting/abstracting data from electronic medical records and/or clinical notes into structured datasets.  Meticulous attention to detail; comfortable navigating diverse clinical documentation.  Working knowledge of clinical terminologies/coding (e.g., ICD‑10, SNOMED CT, CTCAE); familiarity with haematology/oncology concepts is desirable.  Confident with Excel and at least one research data environment (e.g., SQL‑based tools, ALEA, BC Platforms, or similar data capture/warehouse systems).  Understanding of GDPR, confidentiality, research governance and data security in a clinical research setting.  Clear communicator who builds strong relationships with clinicians, research nurses and data specialists, and escalates appropriately when decisions or approvals are needed Self‑starter who takes ownership and progresses work independently, drawing on guidance and support from CIRU and the wider team when needed Proactive and solution‑focused, able to plan and prioritise workload, anticipate blockers, and propose pragmatic improvements to data capture, validation and workflows Desirable: basic scripting in R or Python; experience writing SQL for data cleaning/QC; exposure to survival/epidemiological concepts; experience with haematological malignancies or early cancer research About us A collaborative team spanning Cancer B‑cell immunology, genomics, molecular/cellular biology, bioinformatics and clinical informatics. The environment combines strong clinical engagement with modern data infrastructure to generate high‑quality real‑world datasets that inform patient care and translational research. We value diversity We welcome applications from all sections of the community and support flexible working where possible. If we receive a high volume of applications, we may close the vacancy early—please apply as soon as you are ready.