State University of Bahia

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16 000 students and 5 200 employees, including 446 professors. Our campus is in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Information and Communications Engineering is now inviting applications for a Postdoctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties of the mathematical descriptions of signals, to applied research in array signal processing. We are now looking for an outstanding Postdoctoral Researcher to join the group. The research project is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available spectrum. In this environment, it is crucial to understand the spatio-temporal radio characteristics, i.e. what, when, and from where signals are transmitted and how they interact with the environment. Applications of the envisioned research results include cognitive and adaptive spectrum use as well as localization of targets or signal sources in passive-sensing settings. This lies at the heart of the emerging field of integrated sensing and communications (ISAC), which is expected to be a core component of emerging 6G wireless systems. The research project is part of a larger consortium with industrial partners, gathering world-class researchers in sensing and making sense of the physical world with expertise ranging from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular concerned with optimal transport for inverse problems applied to the radio spectrum. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport is concerned with the mathematical problem of comparing and interpolating distributions of mass, for example probability distributions. The concept has lately gained increasing interest from researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state-of-the-art results in many applications. As a leading expert on the use of optimal transport theory in inverse problems, Prof. Elvander is working towards making the framework a powerful tool for applications in signal processing and control. Your role and goals As a postdoctoral researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating, for example, the location and spectral characteristics of signal sources based on measurements collected from antenna arrays. In the project, a cornerstone will be the use of theory and methods from optimal mass transport and convex modeling. The goal of the project is to make foundational theoretical contributions and to develop tools relevant for industry applications. Your experience and profile PhD in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. Strong publication record. A good command of English, both written and spoken. Good programming skills in languages such as Matlab and Python. Appetite for working on fundamental research using theory and methods from applied mathematics, statistical signal processing, information theory and machine learning. A curious mindset. An interest in multi-disciplinary research. Ability to provide guidance and mentorship to doctoral researchers. What we offer The Department of Information and Communications Engineering conducts world-class research in statistical signal processing. We offer a diverse and multi-cultural workplace with strong international ties. As the research project is part of a larger consortium, you will benefit from the expertise of a range of world-leading researchers, as well as a community of doctoral and postdoctoral researchers working towards the same overarching goal. The starting date is 1.9.2026, or as mutually agreed. The position will be filled for two years. The salary is determined according to the salary system of Finnish universities. The starting salary for Postdoctoral Researcher is approximately 4100 €/month. As an employer, Aalto University provides excellent learning and development opportunities as well as occupational health care services, commuter ticket benefit and sport activities offered by Unisport. Ready to apply? To apply for the position, please submit your application including the attachments mentioned below as one single PDF document in English through our online recruitment system by using the link ("Apply Now”) on Aalto University’s web page. Your application should contain Letter of motivation including a brief description of your research interests. CV including list of publications Degree certificates and academic transcripts, including Doctoral Degree Certificate (or information about the expected defence date, if defending soon) Contact details of at least two referees (or letters of recommendation, if already available) The deadline for applications is 17.6.2026. Note that the position will be filled as soon as a suitable candidate is identified, possibly already during the application period. For additional information, kindly contact Prof. Filip Elvander at filip.elvander@aalto.fi. For additional information in recruitment process related questions, please contact HR Advisor Johanna Haapalainen, hr-elec@aalto.fi. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto and check out our new virtual campus experience: https://virtualtour.aalto.fi About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again as the happiest country in the world: World Happiness Report 2025 For more information about living in Finland: Aalto Careers for International Staff. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

Department: English Vacancy ID: 041484 Closing Date: 04-Jun-2026 We are seeking an outstanding writer to join our staff as an Assistant Professor in Creative Writing. The person appointed will have a proven record of publication and teaching, appropriate to career stage, and will demonstrate excellence in the field of creative writing. They will be expected to make a strong contribution to the teaching programme of the Department now that a new BA in Creative Writing and English has been launched, undertaking teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Masters’ and PhD students. The appointee will be expected to build a strong publication profile that supports the University’s research strategy, including affiliating to the Research Institutes and other Departments where appropriate, and working with colleagues on national and international levels. The appointee will be expected to generate creative publications of international standard. Salary: Assistant Professor / Lecturer: €65,401 – €103,564 p.a. (7 points) Assistant Lecturer: €42,599– €72,718p.a. (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Thursday, the 4th of June 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Available at 0.2FTE-0.4FTE for 6 months, with possibility of renewal subject to funding.  ARC Wessex is funded by the National Institute for Health and Care Research (NIHR), to support applied health and care research that responds to, and meets, the needs of local populations and local health and care systems. Knowledge Mobilisation underpins its five themes: Data & Technology, Healthy Communities & Prevention, Integrated Health & Social Care, Living well with Long-Term Conditions, and Mental Health. Knowledge Mobilisation (KM) supports teams to create outputs that are accessible, practical, and tailored to local and national needs. It includes engaging with people working in health and social care and academics to understand their needs, co-production, evidence synthesis, sharing findings in meaningful ways, implementing findings into practice, and influencing decision and policy-makers. The team are recruiting Principal KM Fellows to provide senior support in the initial stages of programme set up and structure, to ensure the long-term success of the KM programme throughout the ARC Wessex lifecycle.  Fellowships will provide the opportunity for individuals interested in KM to ensure that the priorities of the health and social care system drive applied research and embed KM into all ARC Wessex research from inception. They will also offer learning and development opportunities to build individual capacity and capability in Knowledge Mobilisation. We welcome applicants from health and social care and/or applied health research backgrounds. KM is about getting the “right information” to the “right people” in the “right format” at the “right time”, consisting of activities and outputs that build awareness, disseminate findings and enable effective use of research. Post holders will work across the ARC Wessex thematic programmes to support and enable knowledge mobilisation throughout, supporting them to meet the strategic objectives of ARC Wessex, working alongside the Collaboration Hub: Implementation & Scaling, Knowledge Mobilisation, Methods & Analytics, Research Capacity Development, and Research Inclusion & Engagement.  This opportunity is aimed at individuals with the potential to become leaders in KM, who have an interest in the Knowledge Mobilisation of research and the use of best evidence and Knowledge Mobilisation across health and social care sectors. The successful candidate will have: a relevant PhD qualification (or equivalent experience delivering service innovation and evaluation), a publication track record commensurate with stage of career, well developed communication and relationship building skills, experience and examples in successful knowledge mobilisation.  We are looking to appoint ambitious individuals with the confidence and experience to engage with collaborators and stakeholders at all levels of seniority, across different geographies and sectors of the health and care system; and a willingness to work with research partners and others across the NIHR ARC network and our local health and care systems. You will be self-motivated, have excellent communication and writing skills, demonstrate past ability to meet project milestones within agreed timelines and produce work of high quality. Extensive experience of working with mental health, community services, and /or and Integrated Care Board (ICB) is essential, alongside being able to work creatively and manage uncertainty. Postholders will be based at NIHR ARC Wessex Office, Chilworth, and employed by University of Southampton who offer a competitive salary, pension scheme and other benefits. Subject to agreement, posts could be offered on a secondment basis. For informal discussions, contact ARCWessex@soton.ac.uk.