Sumy National Agrarian University
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Doctoral Researcher (PhD student) in Machine Learning
Aalto University
Finland
Aalto University
Finland
A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians 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 School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians The ELPH-ML project, led by Dr. Ransell D'Souza at the Department of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, are jointly hiring a Doctoral Researcher. In this position, you will work on a project funded by the Research Council of Finland to build a machine learning framework linking electron–phonon interactions, Wannier-based Hamiltonians, and phonon properties for functional materials. You will work under the supervision of the Principal Investigator, Dr. Ransell D'Souza, and collaborate closely with Prof. Miguel Caro's group, whose core expertise is the development of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science. Together, you will help advance a key scientific discipline that directly impacts important technological and societal topics such as thermoelectric energy harvesting and next-generation gas sensors. The project has access to state-of-the-art supercomputing facilities (CSC's Puhti, Mahti, and LUMI) and is well integrated within the international electronic-structure and machine learning communities. Informal inquiries about the position can be directed to Ransell D'Souza (rdsouza@sissa.it). Please read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows to predict Wannier Hamiltonians, phonon properties, and electron–phonon coupling in layered transition-metal dichalcogenides (TMDCs) such as MoS₂, WS₂, MoSe₂, WSe₂, and WTe₂. For training the machine learning models, you will generate datasets from electronic structure theory calculations using Quantum ESPRESSO, Wannier90, and EPW. You will apply the developed E(3)-equivariant AI framework to quantify band-convergence effects on thermoelectric transport (Seebeck coefficient, conductivity, ZT) and to model gas adsorption effects (NH₃, CO, CO₂) relevant to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council of Finland project ELPH-ML (https://research.fi/en/results/funding/88752). In combination with academic development courses at Aalto University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master's degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, electron–phonon physics, and machine learning. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science. To succeed in this role, you should have: A Master’s degree (or equivalent*) in Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g., a 1st hons BSc in the UK is also eligible.) Prior programming experience, especially with Python. While you are not expected to be an expert programmer, some hands-on experience in programming is mandatory. Note that it will be entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning and scientific method and software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., Quantum ESPRESSO). Molecular dynamics packages (e.g., LAMMPS). Machine learning interatomic potentials (e.g., GAP, MACE, NequIP ). Machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch, and e3nn_jax. If you have experience with other types of modeling tools (e.g., Boltzmann transport solvers, phonon codes like Phono3py/ShengBTE), please state it in your cover letter. Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Chemical Engineering as specified at Aalto Doctoral Programme in Chemical Engineering | Aalto University. If you feel you are interested and qualified for the position but are concerned about not fulfilling all the criteria, still feel free to apply. Take a look at this article in Forbes. What we offer Aalto’s Department of Chemistry and Materials Science is a leading research environment in Finland for computational chemistry and materials science, with four groups specializing in different branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years and during the first 6 months you must apply and receive a right to study in the doctoral programme. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral Researchers is 3142,65€ / month (gross). The contract includes Aalto University occupational healthcare benefits. The position will be filled as soon as a suitable candidate is identified. The starting date for the position is in the autumn 2026, but the exact date can be agreed with the selected candidate. The primary workplace will be the Otaniemi Campus at Aalto University. Ready to apply? To apply for the position, please submit your application no later than 31.08.2026 including the attachments mentioned below as one single PDF document in English through the link ’Apply now’ link at the bottom of the web page. 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. Letter of motivation (max 1 page): Include your name and email. Briefly motivate your interest in the position and explain how/to what extent you fulfill the requirements. Briefly mention any prior research experience you may have. Please, do not use ChatGPT or similar tools to prepare your cover letter for you. CV including list of publications (max 2 pages): personal and academic information, list of skills, projects, etc. Lying on your CV is immediate grounds for disqualification. If you are invited for an interview, you will be asked about information provided here. If you are eventually offered the position, you will be asked for a transcript of academic records. Contact details of at least two referees (or letters of recommendation, if already available) Applications sent via email will not be considered; only submissions through the online recruitment system are accepted. Questions about the vacancy may be directed via email to Dr. Ransell D'Souza rdsouza@sissa.it or Prof. Miguel Caro miguel.caro@aalto.fi. Please contact primarily project PI, D'Souza. Contact Prof. Caro only if Dr. D'Souza can’t be reached. 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.
Salary
3142,65€ / month (gross)
Posted
13 Jul 2026
Assistant Professor in Department of Applied Mathematics
The Hong Kong Polytechnic University
Hong Kong
The Hong Kong Polytechnic University
Hong Kong
Rooted in 90 years of heritage and intellectual achievement, The Hong Kong Polytechnic University (PolyU) has evolved alongside society and made pivotal contributions to the development of Hong Kong, the Nation and the world. The University pursues world-class excellence in education, research and knowledge transfer to nurture socially responsible professionals and leaders, as well as to drive impactful research and innovation. PolyU will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the University’s motto: “To learn and to apply, for the benefit of mankind”. Ranked among the top 100 universities globally by well-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S. News & World Report, PolyU offers a wide range of world-class educational and research programmes in seven faculties and three independent schools. PolyU has furthermore achieved commendable results in the QS World University Rankings by Subject 2026 – it is ranked in the global top 30 for five subjects, is first in Hong Kong for four subjects, and is in the global top 100 for 24 subjects. For further details about the University, please visit PolyU’s website at https://www.polyu.edu.hk/. DEPARTMENT OF APPLIED MATHEMATICS Assistant Professor in Optimization and Operations Research / Statistics and Data Science/ Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science / Actuarial Science (Ref. 260713005) The Department of Applied Mathematics (AMA) is one of the constituent departments of the Faculty of Computer and Mathematical Sciences. Apart from making a significant contribution to most of other academic programmes of the University by providing service teaching, the Department also offers master programmes in Applied Mathematics for Science and Technology, Operational Research and Risk Analysis and Quantitative Finance and FinTech. Starting from 2025/26 academic year, the Department offers a new Bachelor Scheme in Applied Mathematics and Finance Analytics and Fast-track Integrated Bachelor’s and Master’s Degree Programmes and will launch a new master programme, MSc in Mathematics for Artificial Intelligence Technology in 2026/27. Members of the Department have expertise in applied optimization and optimal control, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 56 academic staff and about 154 research personnel in the Department. Please visit the website at http://www.polyu.edu.hk/ama for more information about the Department. Duties The appointee will be required to: (a) teach and contribute to curriculum development at undergraduate and postgraduate levels; (b) supervise MPhil and PhD students; (c) engage in scholarly research, consultancy and other scholarly activities leading to publications in top-tier refereed journals and award of research grants; (d) undertake academic and departmental administrative duties; and (e) perform any other duties as assigned by the Head of the Department or his delegates. Qualifications Applicants should: (a) have a PhD degree in Mathematics / Statistics / Financial Mathematics / Operations Research / Computational Mathematics / Applied Mathematics or a closely related field with experience in Data Science and Analytics; (b) have expertise in applied statistics, operation research or mathematics; (c) have an established track record in research and scholarship, including refereed publications and external grant applications; (d) have a demonstrated commitment to excellence in teaching; and (e) be highly proficient in written and spoken English. Conditions of Service A highly competitive remuneration package will be offered. Initial appointment will be on a fixed-term gratuity-bearing contract. Re-engagement thereafter is subject to mutual agreement. For general information on terms and conditions for appointment of academic staff in the University, please visit the website at https://www.polyu.edu.hk/hro/docdrive/careers/doc/Prof.pdf. Application Please submit an application through PolyU’s career website (https://jobs.polyu.edu.hk/academic). Consideration of applications will commence on 10 August 2026 until the position is filled. The University’s Personal Information Collection Statement for recruitment can be found at https://www.polyu.edu.hk/hro/careers/pics_for_recruitment/. PolyU is an equal opportunity employer, dedicated to fostering an environment that embraces diversity and demonstrates inclusion of people from all backgrounds, cultures, identities and experiences where all members of the University are treated with fairness, dignity and respect. To learn more about the University’s “Statement on Equal Opportunities, Diversity, and Inclusion”, please visit our website at https://www.polyu.edu.hk/hro/equal_opportunities_diversity_and_inclusion/.
Salary
Competitive
Posted
14 Jul 2026
Referral Pathway Coordinator
University of Southampton
United States, Southampton
University of Southampton
United States, Southampton
USAIS – Upgrade Pathway Coordinator Join the University of Southampton Auditory Implant Service (USAIS) as a Referrals Coordinator and make a meaningful impact on the lives of cochlear implant and auditory implant patients. We provide vital services for severely and profoundly deaf individuals across the south of England and the Channel Islands. USAIS is a nationally recognised centre of excellence, providing specialist assessment, surgical intervention, and lifelong support for individuals with auditory implants. Our team is passionate about enhancing quality of life through cutting-edge technology and holistic care. About the role: Location: University of Southampton Highfield Campus, Building 19 Working hours: Monday to Friday 9am-5pm Job Purpose: To work with the Clinic Operational and Assistant Manager, Team Leaders and clinical staff, to ensure effective management of the University of Southampton Auditory Implant Service (USAIS) patients through the Cochlear Implant (CI) and Bone Conduction Hearing Implant (BCHI) Referral and Assessment pathway What you will do: Act as a centralised point of contact for patients; triage, coordinate, and provide accurate and timely processing of patient and clinical correspondence Manage complex appointment scheduling, maintain accurate patient records and monitor Referral to Treatment (RTT) times through the patient assessment pathway Liaise with local Allied Health Professionals, ENT services, hospital staff and clinical radiology staff regarding patient referrals, appointments, admissions, assessments, scans and image reports What you will bring: Relevant work experience within an administrative or customer support role, preferably in a healthcare setting or clinical environment – including experience using a Patient Administration System (PAS) or equivalent Strong communication skills are essential, with a proven ability to prioritise and manage a busy workload Excellent attention to detail, record keeping skills and maintenance of confidentiality for all data and patient information. Strong teamwork skills and the ability to build positive working relationships Ability to thrive and support colleagues in a busy and interactive environment in a dedicated team Special requirements: The maintenance of confidentiality in information and data management is mandatory, as is the ability to cross-check data from multiple sources, with excellent attention to detail and accuracy A DBS check at Standard level is required for this role; this will be carried out by the University Working at UoS: We value equality, diversity, and inclusion, ensuring a supportive and inclusive environment Enjoy a generous holiday allowance and additional University closure days We support flexible working arrangements For more information about USAIS, visit our website Informal Enquiries: Contact Louisa Bignell - 02380 593522 or L.Bignell@soton.ac.uk
Salary
£27,319 to £30,378
Posted
13 Jul 2026
Junior Research Scientist in the (CIDSAI) - Dr. Farah Shamout and Dr. Hanan Salam
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Center for Interdisciplinary Data Science and AI (CIDSAI) at NYU Abu Dhabi is a cross‑disciplinary hub where mathematicians, computer scientists, engineers, and social scientists join forces to push the boundaries of data‑driven discovery. Our mission is two‑fold: to advance fundamental theory in probability and machine learning, and to translate those breakthroughs into high‑impact tools that serve the UAE, the wider Arab world, and global society. We are seeking a Junior Research Scientist to join the team to work under the theme of Computational & Interactive Health under the supervision of Dr. Farah Shamout & Dr. Hanan Salam and in close collaboration with Prof. Nizar Habash. The researcher is expected to have strong machine learning & AI skills and exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. The project has three main objectives: (a) developing robust computational methods for decision-making in health based on clinical use cases of interest, (b) building a tailored health-focused Arabic knowledge interactive language model through the development of benchmark datasets, evaluation frameworks, and specialized LLMs and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces. Qualifications: A master's degree in less than 5 years of research experince in the relevant field or a bachelors degree with any level of experince. Support the research supervisors and team in developing and implementing the research agenda. Conduct high-quality and innovative research primarily focused on Computational & Interactive Health. Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA). Publish research findings in high-impact journals and conferences. Communicate and present research findings at local and international academic gatherings. Create, maintain, and document high-quality research code for reproducibility. Maintain good practice in managing and accessing sensitive medical datasets. Collaborate with other scientists within the NYU Global Network and in Abu Dhabi. For consideration, applicants need to submit in PDF format: Cover letter Curriculum vitae Academic transcript and degree certificate One page summary of research accomplishments and interests At least two letters of reference Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu or Prof. Hanan Salam at hs4461@nyu.edu. The appointment will be for one year, with the option to renew further depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children, together with full health insurance and retirement contributions. The UAE does not levy income tax.About NYU Abu Dhabi About NYUAD: 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
Salary
Competitive
Posted
13 Jul 2026
Post-Doctoral Associate in the Division of Engineering (Computer Engineering) - Dr. Sandra Siby
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Haven Lab, in the Division of Engineering and the Center for Cyber Security, New York University Abu Dhabi, invites applications for a Post-doctoral Associate position in security and privacy. The lab's mission is to provide individuals with control over their privacy and protection from digital threats. We want to work towards a future where digital services are inherently designed with user privacy and safety at the forefront. Current research thrusts involve: Large-scale measurements on the web to understand and characterize harmful online phenomena. Development of AI-based countermeasures for security and privacy, especially in on-device settings. Investigation of attacks/defenses on AI-based systems. More information on Dr. Siby’s research is available at https://sandrasiby.github.io/. The lab website can be found at https://sites.google.com/nyu.edu/haven-lab The successful candidate will engage in research that includes applied machine learning, systems building, and Internet measurements. Key Responsibilities: Contribute to driving and developing the lab's research directions and methodologies. Lead and collaborate on high-impact research projects in applied security and privacy. Mentor Ph.D./Master's/Bachelor’s students, providing guidance on research projects. Participate in developing coursework and organizing academic and community outreach events. Engage with academic and industry partners to advance the lab's research goals. Qualifications: A Ph.D. in Computer Science, Engineering, or a related discipline, with a focus on security, privacy, or applied machine learning, and with less than 5 years post receipt of PhD. Demonstrated research experience in at least one of the lab’s research thrusts. Good programming and analytical skills, and willingness to work with new technologies/systems. Excellent communication skills and the ability to work effectively in a collaborative environment. For consideration, applicants need to submit a cover letter, curriculum vitae, research statement, transcript or degree, and at least two recommendation letters, all in PDF format. Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please email: sandra.siby@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
Salary
Competitive
Posted
13 Jul 2026
