Freetown Polytechnic

Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential. Selected candidates will spend half their time on collaborative research with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD, and half their time on independent research. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate 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. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@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. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? To strengthen our team, we are seeking a university assistant to develop advanced machine learning and artificial intelligence methods. University assistant predoctoral - PhD position in Probabilistic and Interactive Machine Learning 39 Faculty of Computer Science Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5376 Your personal sphere of influence: The working group “Probabilistic and Interactive Machine Learning” within the research group “Data Mining and Machine Learning” at the Faculty of Computer Science, led by Prof. Sebastian Tschiatschek, develops foundational methods in machine learning and artificial intelligence. We focus particularly on the areas of reinforcement learning, interactive learning, and deep probabilistic models. While modern reinforcement learning (RL) has achieved remarkable success, it remains limited when applied to complex, open-ended, or poorly defined environments. Two of the most critical bottlenecks in contemporary AI are sample inefficiency, often caused by the lack of intelligent, structured exploration, and the "reward engineering" problem, where designing an explicit scalar reward function that captures desired behavior is incredibly difficult or impossible. Furthermore, as AI systems are deployed in more complex environments, the challenges of AI alignment (ensuring systems behave according to human preferences) and constrained learning (adhering to strict safety, legal, or physical boundaries) become important. This position is dedicated to addressing these core challenges by advancing the frontiers of Inverse Reinforcement Learning (IRL), exploration, and safe/aligned AI.                       Your future tasks: You actively participate in research, teaching & administration, which means: You will contribute to academic research projects in the above-mentioned areas. You will work on scientific articles and publish your research results. You will participate in academic conferences to present your research. We expect you to conclude your dissertation agreement within 12 months. You will work on your dissertation and bring it to completion. You will take on teaching responsibilities as specified by the collective agreement. You will support the supervision of students’ projects and theses. You will undertake administrative duties in research, teaching, and university administration, and support the organization of workshops, conferences, and symposia. This is part of your personality: Completed Master's degree (or comparable degree) in computer science, data science, mathematics, communication engineering, or a related field (Applications from candidates close to completion are welcome. Employment can only begin once the Master´s degree has been awarded.) Excellent command of English Outstanding written and oral communication skills Strong ability to collaborate within research teams Perseverance and a proven ability to bring projects to reliable completion High motivation and commitment to scientific excellence Willingness to travel, including participation in national and international conferences Solid knowledge of machine learning and artificial intelligence (in particular in the areas of bandits and reinforcement learning) Strong programming skills, preferably in Python. Experience with deep learning frameworks such as Jax, PyTorch, or TensorFlow. Excellent analytical skills and strong interest in developing a deep understanding of algorithms and methods Cooperative, team-oriented, and proactive working style The following are also desirable: Experience with research methods in the field of machine learning and artificial intelligence, as well as scientific writing Excellent academic record, ideally with initial research results in the area of the position, documented by publications or manuscripts in preparation Experience in university teaching International experience What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.  Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Tenure: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. It is that easy to apply: Academic curriculum vitae  Letter of motivation including your project ideas (and description of your teaching experience, if available) Abstract of Master´s Thesis Degree certificates Transcript of records List of publications, evidence of teaching experience (if available) If you have any questions, please contact: Sebastian Tschiatschek sebastian.tschiatschek@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 06/06/2026 Prae Doc

Based in the School of Mathematical Sciences at the North Terrace Campus Full-time, 3-year fixed term contract  Salary Range: $81,293 - $109,307 per annum (plus 17% superannuation) Research-focused position in differential geometry, specifically higher order symmetry, prolongation, and parabolic geometry At Adelaide University, we create the opportunities you need to achieve your ambitions because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. This position is part of the Australian Research Council Discovery Project “Higher order symmetry, prolongation, and parabolic geometry”, see https://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP260102671 for details. The project explores the fundamental mathematics of higher-order and hidden symmetries, advancing the understanding of the geometric structures that underpin modern science and technology. Using the modern approaches of prolongation and parabolic geometry, the research will deliver new insights into differential geometry, differential equations, integrable systems, and mathematical physics. Working with leading international collaborators, the project will also create valuable opportunities for training young scientists and contribute to technological innovation through foundational advances in geometry. Work that matters Ranked number 82 in the world in the 2025 QS World Rankings of Universities, Adelaide University combines the strengths of the University of Adelaide and the University of South Australia to deliver nation-leading curriculum and student experience, greater access to education, and world-class research. The team The School of Mathematical Sciences offers a range of collaboration opportunities for research, industry, government, and education partners. These partnerships connect our world-class expertise in mathematics, statistics and data science with real-world challenges and innovation. Our research in mathematical sciences spans theoretical fields such as geometry and geometric analysis, and applied areas including data science, statistics, stochastic modelling, operations research, and optimisation. We develop innovative mathematical solutions to complex, real-world challenges. Visit the AU website to learn more about School of Mathematical Sciences. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This is an opportunity to join a vibrant team as we launch Australia’s new university for the future, Adelaide University. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience  To join our community and thrive in this role, you will likely have the following skills and experience: Essential criteria PhD or an equivalent qualification in pure mathematics awarded or nearing completion. A strong research potential in differential geometry, evidenced by publications or a doctoral thesis. Willingness to perform research in differential geometry, more specifically in the area of the ARC Discovery Project "Higher order symmetry, prolongation, and parabolic geometry". An ability to communicate clearly and effectively in English, both orally and in writing. Desired criteria A research record and expertise in conformal or parabolic geometry. A record of publications in high quality mathematical journals. Our commitment to inclusion and diversity  We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us why you’re excited about the role  upload a document that includes your responses to all the experience criteria Submit your application by 11:30pm Tuesday 30 June 2026 The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. Please note that the role description is not attached to this advertisement as it is currently being finalised. For further information about this opportunity, please contact: Associate Professor Thomas Leistner, thomas.leistner@adelaide.edu.au (quoting reference number 493075). Evelyn Ruth Talent Acquisition Advisor +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au