University of Maryland, College Park

Job Purpose 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 conduct applied AI research in visual generation models, agentic AI, focusing on applications in creative content generation.  Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct applied AI research in visual generation models, agentic AI. Collaborate with industry partners to develop AI solutions to address real-world problems. Develop and maintain research prototypes and software. Publish impactful research findings and present work for knowledge sharing. Work independently, as well as within a team, to ensure high-quality delivery.  Job Requirements Have relevant competence in the areas of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role Are you passionate about supporting students to reach their full potential? Do you thrive in a role where every day brings new conversations, new challenges, and new opportunities to make a difference? If so, you could be a Student Success Coach at the University of Surrey. We’re looking for someone who is proactive, empathetic, and energised by helping students navigate university life — academically, personally, and professionally. You’ll be part of a supportive team committed to improving student belonging, engagement, and outcomes. The Student Success Coach plays a central role in fostering student engagement, wellbeing, and academic progression across the student lifecycle. Working closely with academic colleagues and specialist support services, the post holder will provide proactive, personalised, and data‑informed support to help students thrive, overcome challenges, and successfully progress through their programme. The role combines 1:1 coaching, group support, early‑intervention outreach, and ongoing case management to strengthen student belonging, attainment, and retention. About you We’re looking for someone who: Builds rapport quickly and communicates with warmth and clarity. Is confident working with sensitive or complex situations. Is comfortable engaging 1:1, with classroom size groups and full lecture theatres. Can interpret data and use it to inform decisions. Is organised, adaptable, and able to manage a varied caseload. Understands the challenges students face and is motivated to help them succeed. Experience in coaching, mentoring, student support, or advisory roles is beneficial — but above all, we’re looking for someone who genuinely cares about student success. How to apply Please include a cover letter detailing your interest and relevant skills/experience related to the role, along with your CV and application form as part of the application process. Please note, when uploading your application documents, select the document type you would like to attach and then upload. Repeat this for your CV and cover letter. If you would like to discuss the position informally before applying, please contact Hollie Baker, Associate Director Student Success, via email at h.baker@surrey.ac.uk  Interviews will be held on Tuesday 30th June. An Enhanced DBS check s required for this position. Further details Job Description

ERC-funded Postdoctoral Researcher Positions in Mathematical Inverse Problems at the University of Helsinki Applications are invited for two postdoctoral researchers in mathematical inverse problems at the University of Helsinki. The position will be funded by the ERC advanced grant project InversePDE - Geometric Methods in Inverse Problems for Partial Differential Equations and the Centre of Excellence on Inverse Modelling and Imaging, led by Professor Matti Lassas. Position description The postdoctoral positions are for around two years (ending in November 2028) with a possible extension to a 3rd year. Starting date may be between August 1, 2026-January 1, 2027. The positions have a 6-month trial period at the beginning of the employment. The InversePDE project studies inverse problems for partial differential equations (PDEs) and geometric inverse problems. A typical inverse problem is the determination of the coefficient functions of a PDE from indirect data. The project aims to obtain unique solvability and stability results for inverse problems and to develop solution algorithms for these problems that are based on machine learning. The project will study inverse problems for linear and non-linear hyperbolic and elliptic PDEs by applying analysis, differential geometry, microlocal analysis, and probabilistic methods. The project will also combine methods of machine learning, in particular neural networks, and manifold learning techniques, with the mathematical theory of inverse problems to invent new algorithms that are rigorously guaranteed to work. The University of Helsinki seeks to promote an equitable and inclusive working environment and welcomes applicants of any gender, linguistic and cultural background, or minority group. Qualifications We are looking for post-doctoral researchers interested in working on inverse problems and their applications and/or in rigorous methods in neural networks and other machine learning methods for partial differential equations. We also welcome applications from postdocs who have not earlier worked on the above topics but are interested in extendin¬g their expertise to new fields. The postdoctoral researcher shall hold a relevant doctoral degree by the start date of employment have the ability to conduct independent scholarly work. Additionally, no more than five years should have elapsed since the completion of a doctoral degree, excluding periods of family leave or equivalent absences. Excellent written and verbal communication skills in English are a necessity in the position. Salary and benefits The starting salary of a postdoctoral researcher is typically 3800 - 4000 euros/month, depending on previous qualifications and experience. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. For more on the University of Helsinki as an employer, please see https://www.helsinki.fi/en/about-us/careers. How to apply The applicants should submit the following documents: CV (max 2 pages) Cover letter detailing the applicant’s familiarity with analysis of PDEs, geometry and neural networks and other machine learning methods, and their interest to study mathematical inverse problems (max 2 pages) Names and institutional email addresses or letters of reference of up to 3 references Applications shall be submitted through the University of Helsinki´s recruitment system. 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. The application deadline is June 15, 2026 (at 23:59 UTC +3). Additional information For further enquiry related to the position, please contact Professor Matti Lassas (Matti.Lassas@helsinki.fi). If you need support with the recruitment system, please contact recruitment@helsinki.fi.  *** 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. The department hosts several current ERC grants of the European Research Council and two Centres of Excellence of the Academy of Finland.