HUD
**About HUD** HUD (YC W25) is developing agentic evaluations for Computer Use Agents (CUAs) that browse the web. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. **Our Mission:** People don't actually know if AI agents are working. To make AI agents work in the real world, we need detailed evaluations for a huge range of tasks. We're backed by Y Combinator and work closely with frontier AI labs to provide agent evaluation infrastructure at scale. **About the Role** HUD is a fast-growing startup. If you can't find a role on our job board, feel free to suggest a new role, and we'll reach out if we find a good fit. **Open Opportunities:** • Building new evaluations/eval environments for HUD's CUA evaluation framework • Building out our CUA evals framework • Conducting outbound sales, developing partnerships and improving developer experience for CUA developers • Leading and supporting teams of research engineers as they build out our evals • General startup operations as we scale **Experience** Strong candidates may have: • Engagement with AI Safety and AI alignment • Understanding of LLM evaluation frameworks, particularly multimodal and agentic evaluations • Familiarity in using and deploying latest AI tools for operational efficiency • Experience in fullstack LLM deployment, particularly for multimodal and agentic AI evaluations • Prior experience in fast-growing startup teams **Team & Company Details** **Team Size:** ~15 people currently, mostly full-time in-person, but some remote. **Our Team:** Our team includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS and other top venues. **Company Stage:** We have received $2 million in seed funding, plus very strong demand and revenue growth beyond that. We are scaling profitably and fast to meet demand. **Logistics** **Employment:** Full-time preferred, but we're willing to consider internship offers. **Location:** Remote-friendly, but if you're in the San Francisco Bay Area, we do have an office you can work in. We prioritize applicants who can attend meetings in Pacific Time (UTC-7:00/8:00) or China/Singapore Time (UTC +8:00). **Visa Sponsorship:** We provide support for relocation and visas for strong full-time candidates. For part-time/contract/internship arrangements, we'll work fully remote. **Timeline:** Applications are rolling. The process involves 1-2 interviews and takes less than a week. We prioritize operational aptitude and cultural fit. Motivated candidates are encouraged to apply even if they don't meet all criteria.
HUD
**About HUD** HUD (YC W25) is developing agentic evals for Computer Use Agents (CUAs) that browse the web. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. **Our Mission:** People don't actually know if AI agents are working. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator and work closely with frontier AI labs to provide agent evaluation infrastructure at scale. **About the Role** HUD is a fast-growing startup. If you can't find a specific role on our job board, we encourage you to suggest a position that aligns with your expertise – we'll reach out if we find a good fit. **Potential Opportunities:** - Building new evaluations/eval environments for HUD's CUA evaluation framework - Developing our CUA evals framework - Conducting outbound sales, developing partnerships, and improving developer experience for CUA developers - Leading and supporting teams of research engineers as they build out our evals - General startup operations as we scale **Experience** Strong candidates may have: - Engagement with AI Safety and AI alignment - Understanding of LLM evaluation frameworks, particularly multimodal and agentic evaluations - Familiarity in using and deploying latest AI tools for operational efficiency - Experience in fullstack LLM deployment, particularly for multimodal and agentic AI evaluations - Prior experience in fast-growing startup teams **Team & Company Details** **Team Size:** ~15 people currently, mostly full-time in-person, with some remote team members. **Our Team:** Includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, and other top venues. **Company Stage:** We have received $2 million in seed funding, plus strong demand and revenue growth beyond that. We are scaling profitably and rapidly to meet demand. **Employment Details** **Employment Type:** Full-time preferred, but we'll consider internship offers. **Location:** Remote-friendly, with an office available in the San Francisco Bay Area. We prioritize applicants who can attend meetings in Pacific Time (UTC-7:00/8:00) or China/Singapore Time (UTC +8:00). **Visa Sponsorship:** We provide support for relocation and visas for strong full-time candidates. For part-time/contract/internship arrangements, we work fully remote. **Timeline:** Applications are reviewed on a rolling basis. The process involves 1-2 interviews and takes less than a week. We prioritize operational aptitude and cultural fit. Motivated candidates are encouraged to apply even if they don't meet all criteria.
Aarhus University
**Postdoctoral Researcher Position in Graph Machine Learning and Energy Network Optimization** The Department of Computer Science at Aarhus University invites applications for a full-time 2-year Postdoctoral position, starting April 1, 2026, or as soon as possible thereafter. **About the Project** This position is part of the Villum Foundation-funded project "Reuse of Waste Heat: Graph-based Algorithms for Spatio-Temporal Optimization of Thermal Networks," which investigates next-generation computational methods to support district heating network planning and operation. **Position and Research Focus** We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: • Modeling real-world spatio-temporal energy networks • Developing graph algorithms for optimization under physical constraints • Applying graph mining and graph data management techniques • Designing computational methods for waste heat reuse and green transition goals • Collaborating across domains, including civil/architectural engineering and energy management This position is deeply interdisciplinary and will be carried out in close collaboration with Massimo Fiorentini's group at the Department of Civil and Architectural Engineering and Kredsløb, the company managing district heating in Aarhus. The successful candidate will contribute to advancing fundamental algorithms as well as real-world applied solutions. Additionally, the Postdoc is expected to develop their own research profile and participate in the broader activities of the Department and faculty. **Qualifications and Specific Competencies** The ideal candidate has: • A PhD in Computer Science, Informatics, Computer Engineering, or related discipline • Strong background in one or more areas: graph algorithms, data mining, databases, machine learning, optimization, or spatio-temporal modeling • Documented experience handling research challenges and empirical evaluations • Solid programming skills in at least one relevant language (e.g., Python, C++) • Interest in interdisciplinary work involving engineering, sustainability, and real-world infrastructure • Strong written and verbal English communication skills Candidates with backgrounds in Physics, Mathematics, or Statistics are also encouraged to apply if they have strong competencies relevant to machine learning, graph analysis, or applied computational methods. We especially encourage women and candidates from underrepresented groups to apply. Aarhus University is committed to fostering a diverse and inclusive research environment. **Location** Department of Computer Science, Aarhus University Åbogade 34, 8200 Aarhus N, Denmark **Application Requirements** The application must be in English and include: • Curriculum vitae • Degree certificate • Complete list of publications • Statement of future research plans and information about research activities • Teaching portfolio and verified information on previous teaching experience (if any) **Application Process** This position uses shortlisting procedures. After the application deadline, the head of department, with assistance from the assessment committee chairman and appointment committee if necessary, will select candidates for evaluation. All applicants will be notified whether their applications proceed to expert assessment. **Formalities and Salary** Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Salary depends on seniority as agreed between these parties. **About Aarhus University** Aarhus University's ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets and welcome all applicants. Research activities will be evaluated in relation to actual research time. We encourage applicants to specify periods of leave without research activities to allow for accurate evaluation of scientific productivity. Aarhus University offers comprehensive services for international researchers and accompanying families, including relocation service and career counseling. We also provide a Junior Researcher Development Programme targeted at career development for postdocs. At the Faculty of Natural Science, we strive to support our scientific staff in career development, focusing on competency development and career clarification to make opportunities transparent. **Application Deadline: December 19, 2025 at 23:59 CEST** Applications must be submitted via Aarhus University's recruitment system, accessible through the job advertisement on the university's website.
SLB
SLB is leading our industry into digital transformation. Our digital technology experts harness the full power of data to solve the domain's biggest challenges. We leverage the elasticity and collaboration of the cloud, apply the efficiency of high-performance computing, tap into the connectivity of the Industrial Internet of Things (IIoT), and create the industry's most advanced data ecosystems. Data drives everything we do, and our teams are at the heart of each innovation, collaborating with interdisciplinary experts to shape our dynamic global industry. With more than 90 technology centers worldwide, we have cultivated the industry's most expansive innovation network. Our teams play a crucial role in this technology leadership, collaborating with the world's brightest minds to solve challenges others deem impossible. With robust, dynamic training in emerging technologies and professional development, we support our teams at every stage of their SLB journey. In our global centers from Silicon Valley, to Europe, to Asia, our experts apply the latest technologies in a creative environment where breakthroughs flourish. Our team's solutions make a measurable impact, shaping operations in one of the world's most dynamic industries. **Opportunities Available:** We are looking for highly skilled graduates in the following areas to join our team: **SLB Digital Positions:** - Artificial Intelligence Engineer - Back End Software Engineer - Data Analytics Engineer - Data Engineer - Data Scientist - Desktop Software Engineer - Embedded Software Engineer - Front End Software Engineer - Full Stack Software Engineer - High-Performance Computing Engineer - IIoT Engineer - Machine Learning Engineer - QA Automation Engineer - Quality Assurance Engineer - Scientific Computing Engineer - Software Security Engineer - User Experience Designer **Benefits & Opportunities:** **International Opportunities** Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere. **Insurance** Health, vision, and dental insurance for you and your dependents available from day one. **Learning Opportunities** Continuous professional development with access to emerging technologies and comprehensive training programs throughout your career journey. **Diverse and Inclusive Culture** Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced. **About SLB** We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all. Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. SLB is an equal employment opportunity employer committed to workplace diversity and inclusion. We provide reasonable accommodations for qualified applicants with disabilities throughout the hiring process.