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Doctoral Researcher in Machine Learning for Surface Structures
Aalto University
Finland
Aalto University
Finland
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 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus 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 Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, is 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 tool for predicting the atomic structure of surfaces. You will work under the supervision of the project leader, Academy Research Fellow Dr. Ondřej Krejčí, and collaborate with international experts in materials and surface science. Together, you will help advance this key scientific discipline, which directly impacts such important technological and societal topics as semiconductor devices and heterogeneous catalysis for green fuel production. You will be fully integrated within the DAS group, a vibrant and diverse research environment whose core expertise is the development of machine-learning-infused atomistic modeling techniques beyond the state of the art and their application to study important problems in chemistry, physics and materials science. The group has access to state-of-the-art supercomputing facilities (like LUMI) and is very well integrated within the scientific community internationally. More about our activities: https://miguelcaro.org. The position is fully funded. Informal inquiries about the position can be directed to Ondřej Krejčí (ondrej.krejci@aalto.fi). 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 for predicting how atoms rearrange on the surface of materials such as metal oxides and semiconductors. Knowledge of the precise atomic structure is important for understanding and predicting electronic and catalytic properties and thus to engineer the material surfaces better for their technological usage. For training the machine learning models, you will generate datasets from electronic structure theory calculations. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools. You will also discuss tool development with AI and machine learning experts at Aalto University and share your results with experimental collaborators. The position is part of the Research Council of Finland project Towards Realistic Surface Structures (https://research.fi/en/results/funding/86328). A secondment to the group of Prof. Gareth Parkinson at the Technical University of Vienna is planned. In combination with the 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, machine learning and a broad understanding of surface and material science. 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., VASP, GPAW, FHI-aims). Molecular dynamics packages (e.g., LAMMPS, GROMACS). Machine learning interatomic potentials (e.g., GAP, MACE, ACE). Machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch. If you have experience with other types of modeling tools (e.g., FEM), 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 with a possible 2-year extension after passing the midterm review. 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 3075 € / 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 Spring 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 8.1.2026 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. Ondřej Krejčí (firstname.lastname(a)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 just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland 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
3075 € / month (gross)
Posted
16 Dec 2025
Lecturer/Senior Lecturer in Veterinary Pathology
Massey University
New Zealand, Palmerston North
Massey University
New Zealand, Palmerston North
About the role - Mō tēnei tūranga mahi The School of Veterinary Science, Massey University, is seeking applicants for a position in the Pathobiology and Infectious Disease group as a Lecturer/Senior Lecturer Veterinary Pathology. The purpose of this position is to prepare and teach subjects relating to anatomical and/or clinical pathology, enhance the learning and qualification outcomes of Massey University’s students and contribute to the scholarly outputs and standing of the University. This includes undertaking an effective programme of veterinary teaching, supervising postgraduate students and residents, providing diagnostic pathology services, undertaking research and scholarship, and providing administrative and professional service to the University and the broader academic, professional and general communities. This is a full-time, permanent position based on the Manawatū campus in Palmerston North. About you - Mōu The required qualifications are as follows: Veterinary professional degree, for example BVSc, DVM or VMD, from an AVMA-accredited school or one recognised by the New Zealand Veterinary Council to enable full registration in New Zealand as a veterinarian ACVP, ECVP or FANZCVS board certified or board eligible in either anatomic or clinical pathology Advanced research degree, for example a PhD The essential experience required for this position is as follows: Experience in diagnostic anatomic or clinical pathology Experience in veterinary teaching and postgraduate training in anatomical or clinical pathology is desirable Research experience in veterinary pathology is desirable Knowledge of New Zealand animal production systems and disease systems is desirable What’s in it for you? - Ko ngā hua o te tūranga? At Massey University, we offer: A collaborative and supportive team environment Flexible working hours and a strong focus on work-life balance Five university holidays per year in addition to annual leave A beautiful campus with onsite cafes and gym facilities The salary for this position will depend on skills and experience but will be in the range of Lecturer/Senior Lecturer ($83,201 - $152,711). Further enquiries should be directed to Professor Keren Dittmer, School of Veterinary Science, Massey University at K.E.Dittmer@massey.ac.nz Applications close Thursday, 12 March 2026. Please apply via our website by clicking the 'apply now' button.
Salary
$83,201 - $152,711
Posted
16 Dec 2025
Centre Manager
The Australian National University
Australia, Canberra
The Australian National University
Australia, Canberra
Classification: Senior Manager 2 Salary package: Competitive salary package plus 17% superannuation Term: Full time, Fixed term (up to 5 years) Position Description and Selection Criteria: Centre Manager.pdf Position overview As the Centre Manager, you will play a critical role in the establishing and leading the operations of the Centre. Reporting to the Centre Director, the Centre Manager will take a hands-on approach in building and maintaining internal and external stakeholder relationships. The successful candidate will establish the Centre’s operational systems and build the financial and physical resources necessary to support the Centre’s establishment and its strategic mission. The ideal candidate will be a highly skilled, action-oriented leader capable of driving the successful establishment of a nationally significant Centre. The candidate will have expertise in operations, finance, HR and contracting in complex environments, coupled with deep cultural integrity and experience working with Indigenous communities. The successful candidate will be an outstanding communicator and trusted operator, demonstrating resilience, agility and the ability to build strategic partnerships that lay a strong foundation for the Centre’s future impact. Within the ANU College of Law, Governance and Policy, the Centre will play a strategic role in promoting a national collaboration on Indigenous economic empowerment through economic and fiscal policy design and advocacy, translational research, cross sector partnerships, and education and professional development. Working alongside First Nations, governments and industry, the Centre seeks to move beyond problem diagnosis and focus on collaborative actions that further Indigenous economic self-determination and support Indigenous peoples to sustain their unique rights, cultures and connections to the Country. The ANU College of Law, Governance and Public Policy (CLGP) is a progressive and newly established College that brings together four world-leading academic schools dedicated to shaping the future of law, governance, regulation, policy and population health. As part of Australia’s leading university, the College fosters excellence in research, teaching, and engagement, driving impactful contributions to national and global challenges. The College provides an intellectually rich community, committed to providing a collaborative and supportive environment for academics, students, and professionals to thrive. For further information please contact Sarwat Maqbool, Transition Lead, ANU First Nations Portfolio, T: +61 433 870 056 E: tl.firstnations@anu.edu.au 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 those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion 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 must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Sunday, 11 January 2026, 11:55 PM (AEDT)
Salary
Competitive salary package plus 17% superannuation
Posted
16 Dec 2025
Research Fellow/Engineer (Metaverse App/Engine) - BD
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Introduction As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop software platforms for supporting multi-user AR/VR applications. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake one of the three responsibilities: Develop an interactive metaverse application for online education, team collaboration, and workplace training with a focus on real-time interactive simulation. (app developer) Design, build, and implement a multiplayer architecture and backend services for a real-time AR/VR multiplayer system. (network engineer) Design, build, and implement the the game engine for both client and server. (game engine software engineer) Perform testing Perform documentation and optionally publishing paper to international conferences/journals. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems For network engineer role: Experience in computer networking, multiplayer architecture, and backend services Experience in connecting backend to various internal and external services and microservices. Deep knowledge in computer network protocols (e.g., TCP/IP, UDP, and other relevant network protocols). Expertise in handling latency, packet loss, and synchronization issues. Expertise in designing a scalable server architecture for handling thousands to millions of concurrent players, Load balancing, auto-scaling, and server instance management. Expertise in securing a multiplayer game network system. Knowledge of encryption techniques to ensure data in transit remains confidential. Prevention measures against common threats like DDoS attacks, SQL injection, and cheating. Experience in multiplayer game services such as Azure PlayFab, AWS GameLift, Google Cloud Servers, and other similar services. Strong knowledge in C++ will be an advantage. Experience with database management systems Familiarity with core engine technologies such as engine architecture and streaming. Familiarity in developing optimized modules in C#/C++ within Unity and/or Unreal Engine. For game engine software engineer: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage 3D engine development experience Familiarity with core engine technologies such as engine architecture, multi threading, streaming, computer graphics and advanced real-time rendering techniques Experience developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems
Salary
Competitive
Posted
16 Dec 2025
Lecturer/Senior Lecturer in Animal Genetics and Breeding
Massey University
New Zealand, Palmerston North
Massey University
New Zealand, Palmerston North
About the role - Mō tēnei tūranga mahi The School of Agriculture and Environment, Massey University, is seeking applicants for a position in the Animal Science group as a Lecturer/Senior Lecturer in Animal Genetics and Breeding. The purpose of this position is to provide learning and qualification outcomes for Massey students in Animal and Agricultural Science and to contribute to the scholarly outputs of the University through undergraduate and postgraduate teaching and the supervision of postgraduate students in animal genetics and breeding. The role also requires the development of an active research programme, engagement in the successful pursuit of external research funding, and interaction with industry. This is a full-time, permanent position based on the Manawatū campus in Palmerston North. About you - Mōu A PhD in Animal Science, specifically in genetics or a related area, is essential. The successful applicant will require the following experience for this role: Strong knowledge of animal genetics and breeding An extensive track record of academic and/or research activity in animal genetics and breeding Experience with applied animal genetics and breeding management would be beneficial Capability to conduct independent research Ability to conduct genetic analysis of animal species to identify genetic variation and hereditary traits A track record of applying statistical methods to interpret biological data related to genetic traits, with advanced statistical capability being a strength Capability in molecular biology and/or genomics, including the use of modern genetic tools such as gene sequencing and genetic mapping to identify genetic markers Experience teaching university students or supporting academic staff to deliver teaching Experience using electronic and online technologies in blended and distance teaching delivery Experience using innovative teaching and assessment methods in undergraduate teaching would be beneficial A practical understanding of working within a teaching, research and extension environment A good understanding of New Zealand and global animal science and production systems An excellent background in research review, analysis and dissemination, including experience writing scientific papers Experience writing research grants and contracts What’s in it for you? - Ko ngā hua o te tūranga? At Massey University, we offer: A collaborative and supportive team environment Flexible working hours and a strong focus on work-life balance Five university holidays per year in addition to annual leave A beautiful campus with onsite cafes and gym facilities The salary for this position will depend on skills and experience but will be in the range of Lecturer/Senior Lecturer ($83,201 - $152,711). Further enquiries should be directed to Associate Professor Nicola Schreurs, School of Agriculture and Environment, Massey University at N.M.Schreurs@massey.ac.nz Find out more about the School of Agriculture and Environment here Applications close Saturday, 31 January 2026. To apply via our website, please click the 'apply now' button.
Salary
$83,201 - $152,711
Posted
16 Dec 2025