Harvard University

Role Overview 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 SIT Centre for Intelligent Robotics is a strategic capability centre under RoboPrecinct@Punggol Digital District (PDD), responsible for developing and maintaining the core applied robotics and embodied AI capabilities required for precinct-level deployment of robotic systems. The centre is seeking a Robotics Engineer. This role is application-driven and system-oriented, focusing on the implementation, adaptation, and evaluation of state-of-the-art robotics algorithms on real robotic platforms. The successful candidate will work closely with physical robots and simulation environments to translate recent advances in learning-based robotics into robust, deployable systems. Key Responsibilities Implement, adapt, and evaluate state-of-the-art learning-based methods for robotic perception, decision-making, navigation, and manipulation. Apply reinforcement learning, imitation learning, and other skill learning frameworks to practical robotic applications. Integrate learning-based robot skills with full robot software stacks in ROS / ROS 2 environments. Develop and maintain perception and state representation pipelines using RGB-D and 3D sensing. Conduct simulation-to-real (Sim2Real) workflows, including data collection, model training, deployment, and testing on physical robots. Support system-level experimentation, benchmarking, and iterative improvement of embodied AI applications. Provide mentorship to undergraduate students in projects. Carry out risk assessment, and ensure compliance with Work, Safety and Health Regulations. Prepare technical documentation, reports, and implementation guides to support knowledge transfer and long-term maintainability. Contribute to publications and technical notes to disseminate research outcomes. The employee is to communicate with any internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Working knowledge of reinforcement learning, imitation learning, or learning-based control concepts. Familiarity with robotics simulation tools such as Gazebo, Isaac Lab, or MuJoCo. Practical experience with ROS or ROS 2 for real-robot software integration. Proficiency in Python and C++, with experience developing and maintaining production-level code. At least 2 years of experience in robotics research or industry projects. Preferred Skillsets (Advantageous) Experience working with mobile manipulators, humanoid robots, or quadruped robots. Exposure to motion planning, control frameworks, or whole-body control systems. Experience with real-world robot experimentation and deployment. Experience with embodied AI and robot manipulation benchmarking platforms such as LIBERO, ManiSkill, or RLBench is highly desirable. Knowledge of GPU architectures, GPU cloud computing services, and strong familiarity with Linux operating systems. Knowledge of BIM, universal scene description and scene composition Knowledge of physics and simulation parameters, as well as sensor simulation pipeline.

The Department of Mathematics and Statistics at the Faculty of Science of the University of Helsinki invites applications for an PROFESSOR OR ASSISTANT/ASSOCIATE PROFESSOR IN FINANCIAL MATHEMATICS Position description The call is open for candidates with research expertise in financial mathematics. We are looking for candidates who have demonstrated potential for research and leadership at the highest international level, relative to their current career stage. In addition to striving towards excellence in research, the appointee is expected to lead and develop the study track of Insurance and Financial mathematics in the Master’s programme in Mathematics and Statistics (MAST) and to take advantage of national and international funding opportunities to establish and maintain a new research direction and a research group at the Department of Mathematics and Statistics at the University of Helsinki. Appointments from this call are made at Professor or Assistant/Associate Professor (tenure track) level. The appointee will also be expected to participate in teaching and development of courses in stochastic analysis and financial mathematics in the master’s program MAST and supervision of master’s theses in the study track of Insurance and Financial mathematics. We encourage all candidates to include in their Academic portfolio (see below) a description how their previous experience and qualifications support this. The expected amount of lecturing is 20 ECTS credits (15-20 ECTS credits for Assistant/Associate Professors) per year, where 5 credits typically correspond to one lecture course having 28 hours of contact teaching. The appointee will also need to carry out standard duties related to their position at the department, such as administration and tutoring. Collaboration with industry is encouraged. Qualifications We seek talented candidates with a doctorate degree, post-doctoral experience, and recent demonstration of excellence in research in financial mathematics as well as teaching experience in accordance with their career stage. The degree requirement must be met by the end of the application period. The successful candidate may be appointed to either a professorship or an assistant or associate professorship (tenure track), depending on their qualifications and career stage. The successful candidate at the assistant professor level shows potential to be a future research leader and is expected to develop an independent, externally funded line of research in financial mathematics. At the associate level, significant evidence of these achievements is already required. Professors must possess top-level scholarly qualifications, experience in leading research, the ability to provide research-based teaching and supervise theses, evidence of international collaboration in their research field, and be recognised as having a significant influence on their field. For more information on the tenure track model and the assessment criteria, please see https://www.helsinki.fi/en/about-us/careers/academic-careers/tenure-track. Candidates must be fluent in written and oral English. While proficiency in Finnish and Swedish is not mandatory in this position, it is considered an advantage, and we encourage our community members to learn the local languages to support integration and better prepare for future leadership roles at the University. To assist with this, the University offers a range of resources, such as a structured language learning path for those interested in improving their Finnish and Swedish skills. Good co-operation and interaction skills are considered an advantage for the applicant. What we offer The University will offer the appointee an attractive career opportunity in top-level research and research-based teaching, possibilities for international collaboration, and, for assistant/ associate professors, prerequisites to grow into full professorship. The contracts for assistant and associate professors have a fixed term of 3–5 years, towards the end of which an evaluation is made concerning possible promotion to the next level. Assuming a successful evaluation at the end of the associate professorship, a promotion to a permanent full professorship will ensue. A typical starting gross salary for a newly appointed professor is 84000–98000 euros/year. For assistant and associate professors, starting gross salaries are 68000-74000 euros/year and 76000-82000 euros/year, respectively. The selected person will also get a startup package to set up a research group. The University of Helsinki offers comprehensive services to its employees, including preventive occupational health services and general medical care, sports facilities, and opportunities for professional development. The University is an equal opportunity workplace and we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. We support the compatibility of work and family-life e.g. by providing an opportunity for 6 weeks of paid annual leave. The University assists employees from abroad with their transition to work and life in Finland and e.g. offers support for language studies to learn Finnish and Swedish. Finland is a family-friendly country with generous parental leaves, affordable state-subsidized day care that is available for all children, as well as world-renowned free primary education and universal healthcare. For more on the University of Helsinki as an employer and living in Helsinki, please see https://www.helsinki.fi/en/about-us/careers and https://welcome.hel.fi. How to apply Applications must have the following attachments as one single pdf file (in English): A cover letter describing the candidate’s suitability for the position and motivation to apply for it (1–2 pages). An academic portfolio, including a list of publications, following the guidelines at https://www.helsinki.fi/en/faculty-of-science/faculty/join-us/academic-portfolio. In particular, please outline your near-term research plans and broader research goals as part of the section “Research statement” of the portfolio, and as part of the section “Teaching qualifications” outline your vision in developing study track of Insurance and Financial Mathematics in the master’s program MAST. Please upload the PDF file to the slot reserved for CV. Please submit your application through the University of Helsinki's recruitment system. The deadline for applications is May 17, 2026 (call closes at 23:59 (UTC+3)). External applicants, please submit your application via the Apply Now button. Internal applicants, who have a helsinki.fi username and a valid employment/grant/visitor contract, please submit your application via the Employee login button. Further information For further information, please contact: About the position and the working environment: Head of Department, Professor Pekka Pankka, pekka.pankka@helsinki.fi About the recruitment process and recruitment system: recruitment@helsinki.fi  *** The University of Helsinki is among the leading multidisciplinary research universities in the world. In addition to its 11 faculties, the University includes several independent institutes, some of which are jointly operated with other universities. Some 35,000 students are currently pursuing an undergraduate or a postgraduate degree at the University of Helsinki. As part of the Faculty of Science, the Department of Mathematics and Statistics of the University of Helsinki is the biggest university department of mathematical sciences in Finland. Its multifaceted research has received the highest points in numerous assessments. The Department collaborates actively with other higher education institutions and with several government research institutes both in Finland and abroad.

Department: School of Celtic Studies Vacancy ID; 040824 Closing Date: 16-Apr-2026Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an experienced postdoctoral researcher for the research project DiAgnostic – Tracing Diatopic Variation in a Corpus of Old Irish. This project is conducted with the financial support of an Advanced Laureate Award from Taighde Éireann – Research Ireland under Grant number IRCLA/2023/ 2124 and is led by Professor David Stifter. DiAgnostic aims at making methodological progress in trying to answer the question if the Early Irish language, especially in its Old Irish form, showed regional diversi­fication, i.e. dialects. We expect to make a significant contribution to the de­scription and the under­stand­ing of the development of the Early Irish language and of its socio­his­to­rical context, including implica­tions for its prehistory. Work is carried out primarily within the discipline of historical linguistics with a strong em­phasis on methods of digital humanities, but other aspects of linguistics such as syntactic theory, sociolinguistics, and the philology of Early Irish texts play a role as well. The position of the postdoctoral researcher will involve adding data to the project database Corpus PalaeoHibernicum (CorPH), in particular with regard to filling gaps among the major contemporaneous sources of Old Irish, as well as assisting in and contributing to other project deliverables.  Salary: Post Doctoral Researcher (2026): €46,805 p.a. pro-rata (Point 1) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Thursday 16th April 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