University of Tasmania

Description The Division of Science at New York University Abu Dhabi is inviting applications for Postdoctoral Associate positions in the broad research areas of mathematical analysis and partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered, candidates with prior experience in theoretical physics, fluid mechanics, kinetic theory, dispersive equations or harmonic analysis will be given special attention. The Postdoctoral Associates will be appointed for a duration of two years and will work under the supervision of Associate Professor Diogo Arsénio on subjects including: Magnetohydrodynamics and the mathematical theory of plasmas. Collisional kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with an outstanding academic record. The terms of employment are internationally competitive, and they include housing subsidies, as well as educational support for families. Prospective candidates for the position must submit the following items online through the link in PDF format: Cover letter Curriculum vitae including a list of publications. Transcript of PhD degree or, in case the degree has not yet been formally awarded, evidence of completion of the degree requirements and expected conferral date. A brief research statement detailing the applicant’s scientific interests, accomplishments and future research strategies. At least two letters of recommendation to be sent confidentially (applicants will be prompted to enter the referee’s e-mails) The screening and assessment of applications will begin immediately and will continue until positions are successfully filled. NYUAD is an equal opportunity employer committed to equity, diversity, and social inclusion. This position is not in the United States. The applicant must be willing to relocate to Abu Dhabi, United Arab Emirates. 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.

SBU/Department: School of Health, Medicine and Life Science FTE: 1.0 FTE (37 hours per week) Duration of Contract: Fixed Term (2 years) Salary: UH7 £38,784 pa to £46,049 pa by annual increments on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days, including the closure of our office between Christmas and New Year Location: College Lane Campus This fellowship offers a unique opportunity to apply cutting-edge AI techniques to real-world challenges in health, medicine, and the life sciences. This is an ideal role for a technically strong, forward-thinking researcher who wants to drive meaningful innovation, champion ethical AI, and make a tangible difference to health and biomedical research. Main duties and responsibilities You will design and validate AI models across diverse domains, from clinical trials and pharmaceutical research to biomedical analytics, biomechanics, and sports science, while delivering high-impact demonstrations that showcase the power of AI in practice. Working closely with senior academics, students, and external partners, you will help embed AI into interdisciplinary projects, shape the School’s AI capability, and contribute to grant writing, publications, and international collaborations. You will also play a key role in building AI capacity through training workshops, student supervision, and active participation in academic life. Skills and experience required You will have practical experience in research teams, scholarly publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have a methodical, detail-oriented approach. You will have excellent communication, interpersonal, and presentation skills, combined with adaptability, initiative, and commitment to continuous learning. Public engagement experience is desirable. Qualifications required We’re looking for a talented AI researcher with a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline, as well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or a related field, or equivalent experience. Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the person specification. Internal applicants – please ensure you apply via your employee self-service portal. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Please note, this post cannot be visa sponsored unless you can evidence a PhD / Doctorate. Contact Details/Informal Enquiries: Rich Callaghan (Associate Dean for Research) r.callaghan@herts.ac.uk Closing Date: 26 March 2026 Interview Date: TBC Reference Number: REQ000550 Our vision is to transform lives: UH is committed to Equality, Diversity, and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise that there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits, including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships, free Active Staff sessions, personal and professional development, and family-friendly policies. #GoHerts

Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en The Electrical Engineering unit at the Faculty of Information Technology and Communication Sciences, Tampere University, invites applications for a Marie Skłodowska-Curie Action (MSCA) Doctoral Candidate position in integrated circuits and signal processing for large-array transceivers in next-generation communication systems. The position is part of the EU-funded MSCA Doctoral Network ANCHOR and corresponds to Doctoral Candidate. The successful candidate will contribute to advancing energy-efficient, high-performance communication systems for next-generation wireless infrastructures. About the ANCHOR Doctoral Network ANCHOR is an EU-funded Marie Skłodowska-Curie Doctoral Network that brings together leading universities and industry partners to train 15 doctoral candidates in next-generation communication technologies. The network addresses key challenges in future wireless infrastructures — including spectrum harmonization, 3D coverage, mobility, latency, capacity, and energy efficiency — by advancing integrated solutions across radio, THz, and optical domains. Through interdisciplinary research, international secondments, and structured cross-sectoral training, ANCHOR equips its doctoral candidates with strong theoretical foundations and practical expertise to drive innovation in Europe’s future telecommunications landscape. More information about ANCHOR network can be found here. Job Description The research focuses on investigating the transmission and propagation characteristics of the radio frequency (RF) resource at high carrier frequency, proposing and evaluating the novel transceiving and scheduling schemes of the high-frequency RF under the future cell-free network architecture. The Doctoral Candidate will: Establish spatial-spectral transmission and channel models for various types of antennas at high carrier frequency (e.g., phased arrays and leaky-wave antennas) Develop the signal transceiving, beamforming, channel estimation, and scheduling schemes for agile access and a user-centric cell-free network at high carrier frequency Integrating energy-efficiency and hardware constraints in communications design Perform system-level modelling and simulations (e.g., MATLAB or similar tools) Disseminate research results through leading international journals and conferences Develop research collaboration with DCs in the Tampere University, ANCHOR network The position includes a secondment of 12 months at University College London (UCL) to develop international research collaboration and extend network. In addition to research duties, the candidate will complete all doctoral degree requirements (lectures credits and publication) at Tampere University, contribute to ANCHOR project deliverables, participate in network-wide training events, and actively disseminate results through scientific and professional channels. High-quality scientific publishing is expected throughout the project. Requirements This position follows the rules of the Marie Skłodowska-Curie Doctoral Networks. To be eligible: The applicant must not hold a PhD degree at the time of recruitment. The applicant must hold a relevant master’s degree by the time the employment begins (start date: 01.08.2026, or as soon as possible thereafter, but no later than 31.12.2026). The applicant may be of any nationality. The applicant must comply with the MSCA mobility rule: they must not have resided or carried out their main activity (work, studies, etc.) in Finland for more than 12 cumulative months in the 36 months immediately before the recruitment date. Compulsory national service, short stays (e.g., holidays), and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not considered. In addition, the selected candidate must apply for and be granted the right to pursue doctoral studies at Tampere University. A doctoral candidate must enroll as a doctoral student no later than six months after the start of the contract. Please visit the admissions webpage for more information on the requirements for the same. Formal English language requirements must be fulfilled by the time of enrollment in the doctoral program (not necessarily at the time of applying). Strong written and spoken English skills are essential for success in this position. Desired Skills and Profile We are seeking a highly motivated and research-oriented candidate with a strong interest in signal processing and future communication systems, and a clear ambition to pursue a doctoral degree. The applicant should hold an M.Sc. (or equivalent) in electrical engineering, computer engineering, or a closely related discipline. The ideal candidate is intellectually curious, open to acquiring new skills, and able to work rigorously and independently while contributing effectively to a collaborative, international research environment. Interest in an academic or industrial research career is highly valued. Experience in one or more of the following areas is considered advantageous: Knowledge of wireless communications, channel modelling, signal processing, and array processing is essential Strong skills in numerical modelling and simulation software like Matlab/Python are essential Knowledge of detection & estimation, machine learning, and optimization is desired Knowledge of communication hardware, e.g., fundamentals of antenna, analog/digital circuit design concepts, is beneficial. Strong oral and written English skills and the ability to articulate complex technical concepts for publications and presentations are essential We offer The doctoral candidate will be guided by a distinguished and internationally recognized supervisory team, ensuring ambitious, high-quality doctoral training and close mentorship. DC2.3 will be co-supervised by Assoc. Prof. Bo Tan, Asst. Prof. Vishnu Unnikrishnan, Prof. Elena Simona Lohan, and Prof. Mikko Valkama, whose complementary expertise spans theoretical innovation and practical impact. Secondments with Prof. Christos Masouros and Bo Tan at UCL provide direct exposure to world leading research environments, forming a strong international platform for scientific excellence and career development. The position is based at Tampere University’s Hervanta campus, a major Nordic technology hub offering modern laboratories, advanced research infrastructure, and a collaborative academic community. Comprehensive support services and staff benefits — including occupational health care, flexible working arrangements, sports facilities, and campus restaurants — create excellent conditions for focused research. More information is available at Working at Tampere Universities. We offer a fully funded 36-month fixed-term doctoral position within the MSCA framework. The employment begins on 01.08.2026, or as soon as possible thereafter (no later than 31.12.2026). Salary is determined in accordance with MSCA Doctoral Candidate regulations and the applicable country correction coefficient. The estimated gross monthly salary is approximately €3,950 for a candidate without a family allowance and approximately €4,450 for a candidate with a family (e.g., married, in a recognized relationship, or with dependent children). The position also includes an annual holiday bonus, and salary increments under the Finnish collective labor agreement. Tampere, located between two large lakes, is Finland’s second-largest urban area and a leading Nordic technology hub. The city combines a vibrant innovation ecosystem — particularly strong in ICT and industry — with immediate access to nature and a high quality of life. For more information about Tampere, please visit VisitTampere, Welcome to Tampere and International House Tampere. Finland consistently ranks among the world’s safest and most stable societies and offers a comprehensive public healthcare and social security system, making it an attractive and secure destination for international researchers and their families. For more information about living and working in Finland, please visit InfoFinland and This is Finland. How to Apply Applications must be submitted through Tampere University’s online recruitment system (application link below). The deadline for applications is 7 April, 2026 at 23:59 (EEST, UTC+2 Finnish time). All application documents must be submitted in English and uploaded in PDF format. Please include the following required documents: Cover letter outlining your motivation for applying, your research interests, and how your background aligns with the position Curriculum vitae (CV) detailing your educational background, relevant technical skills, research experience, publications (if any), and other scientific achievements. Please include contact details for at least two referees Copies of bachelor’s and master’s degree certificates (if available at the time of application period) Official transcripts of records for bachelor’s and master’s degrees You may also include additional supporting documents, if relevant (e.g., proof of English proficiency, recommendation letters). For further information about the position, please contact Prof. Bo Tan or Prof. Mikko Valkama (mikko.valkama@tuni.fi).