Sharda University

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.

Classification: ANU Officer 8 (Administration) Salary package: $124,392 - $133,017 per annum plus 17% superannuation Term: Full time, Continuing Position Description and Selection Criteria: PD&PEWER_ANUO8_Deputy Manager,Student Mobility.pdf Fantastic opportunity to support student mobility to the region & contribute to the student experience  Be part of a collaborative and supportive team Work in a beautiful campus environment on the city’s doorstep About Us The ANU College of Asia and the Pacific (CAP) is a distinctive community of multi-disciplinary and area specialists dedicated to research, education and engagement in the world’s most dynamic region. CAP is the global centre of excellence for understanding human development and organisation in Asia and the Pacific, uncovering our past, informing our present, and reshaping our future to address the region’s challenges.​ As a global leader in Asia Pacific studies in humanities and social sciences, CAP combines disciplinary depth, language teaching, area studies, and publicly engaged policy work​. Through its work, the College has played a critical role in advancing Australia’s engagement and understanding of the Asia-Pacific region, establishing the Australian National University as a global centre of excellence for research, teaching and impact in the region. The College comprises two research schools and is home to a range of regional institutes and centres that support research, education and outreach activities. Our specialists play a vital role in informing public policy and shaping Australia’s intellectual engagement with the societies, cultures and economies of Asia and the Pacific. The College Partnerships & Engagement portfolio includes teams in Partnerships, Marketing & Communications and Student Mobility. Follow the College of Asia and the Pacific on social media: LinkedIn, Instagram and Facebook The Opportunity We are seeking a Deputy Manager, Student Mobility to support the development and delivery of mobility and student enrichment activities in the College, especially with a focus on the Asia-Pacific region.   The position will report to the Manager, Partnerships & Engagement and will collaborate with academics on building and maintaining a range of mobility options to support student engagement with the Asia-Pacific region. In this role you will manage and coordinate the College's range of learning abroad opportunities, including our flagship Year in Asia program and several academic-led study tours.  The role involves liaison with academics and the provision of advice to students on various mobility options. Our Ideal Candidate Our ideal candidate will have extensive experience in the administration of student mobility programs and in collaborating with academics ion program development.  Experience in the Australian higher education sector, and working or studying in the Asia-Pacific region would be highly regarded.  You will also have demonstrated experience in student administration, an ability to work collaboratively and on own initiative, and establish priorities and meet deadlines in a fast-paced environment. To enquire about this opportunity, please contact the Manager, Partnerships & Engagement, Ms Christine Sullivan – E: christine.sullivan@anu.edu.au Increasing the representation of women, First Nations people and persons from diverse gender, ability, cultural and linguistic backgrounds is a strategic priority for the College of Asia and the Pacific. We strongly encourage applications from these groups. The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au   ANU is a large, diverse employer. We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have had a non-linear career path, career gaps or career breaks. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion How to Apply In order to apply for this role please make sure that you upload the following documents: A cover letter (1-2 pages max) outlining your interest and suitability for the role. A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Applications which do not address the selection criteria may not be considered for the position. Please note: The preferred candidate must have rights to live and work in Australia, and will be required to complete mandatory pre-employment declarations and background checks relevant to the role they have applied for, in accordance with the Background Checking Procedure and the National Higher Education Code to Prevent and Respond to Gender-Based Violence. CLOSING DATE: Wednesday 5 August 2026, 11.55pm (Canberra time)

Classification: Academic Level A/B Salary package: $91,549 - $141,317 per annum plus 17% superannuation Terms: Full Time, Continuing (contingent funded) This position is continuing (contingent funded). The funding that supports this project has an expected end date of 29 June 2028. Position Description and Selection Criteria: PD&PEWER_Academic AB_Postdoctoral_Research Fellow.pdf The Position The Postdoctoral Researcher (Level A) or Research Fellow (Level B) will undertake independent research in the area of nuclear reactions, particularly heavy-ion fusion and few- and multi-nucleon transfer, including assisting in the supervision of undergraduate and postgraduate students. They will publish original and innovative results in refereed journals, present research at national and international conferences, and collaborate with other researchers at a national and international level. They will collaborate with senior staff to actively seek and secure external funding, and prepare and submit research proposals to external funding bodies as appropriate, and contribute to teaching activities of the Research School of Physics. The Person The ideal candidate will hold a PhD (or be near completion) in physics or a related field, with demonstrated research expertise in experimental nuclear physics. They will have a strong record of publications, ideally in nuclear reactions research, and experience in laboratory experimentation and multiparameter data analysis. The candidate will be capable of developing innovative research ideas, contributing to collaborative projects, and supporting funding applications. The School/Department The Research School of Physics is a leading centre of physics research and education in Australia. Researchers have a tradition of excellence in addressing the world’s most pressing physics issues, including in Nuclear Physics and Accelerator Applications. The Department operates the Heavy Ion Accelerator Facility, the premier laboratory in Australia for accelerator-based research in nuclear physics. The College/Division The ANU College of Science and Medicine encompasses research across Astronomy and Astrophysics, Biology, Chemistry, Earth Sciences, Physics, Medicine and Psychology, and Medical Research. It is also home to various cross-disciplinary and specialist institutes and centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver research-led education programs spanning the entire breadth of the sciences, supported by extensive international networks and world-class facilities. For further information please contact, Mahananda Dasgupta, Professor of Physics T: +61 2 6125 2081, E: Mahananda.dasgupta@anu.edu.au. The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au  ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing Date: Wednesday 12 August 2026, 11:55pm (AEST)