Academic Research Partnerships And Programs Lead Jobs

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is seeking an experienced sales professional to join our team as an Enterprise Account Executive. You will have a history of performance in quota attainment and developing customer accounts within the Higher Education sector. This role will cover Virginia, Maryland and Washington D.C. and requires you to be in market. You will report directly to our Regional Director, Enterprise - SLED. You will leverage your expertise in enterprise software sales and deep understanding of the higher education landscape to build strong relationships with key decision-makers, including CIOs, CTOs, provosts, and other senior administrators. This role requires a strategic approach to sales, a consultative selling style, and the ability to navigate complex procurement processes. You Will: Navigate complex Higher Education and School District procurement processes and cycles Identify and engage key stakeholders at colleges and universities, including executive leadership, IT, academic, and administrative teams Expectations for customer travel will be based on opportunities with a key customer, preferred at least 1x per quarter Understand and respond to Requests for Proposals (RFPs) and Requests for Quotes (RFQs) Build and maintain strong relationships with CIOs, IT Directors, Procurement Officers, and other key stakeholders Apply industry knowledge and research Travel onsite to key customers for executive presentations, user group presentations, and industry specific events Tailor sales pr

Role Purpose: The Machine Learning Engineer IV will play a critical role in advancing Jumio's Fraud team's mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumio's leadership in the online identity verification, eKYC, and AML solutions market Role Value: As a Machine Learning Engineer IV at Jumio, you will have the opportunity to significantly impact the security and user experience of our ID verification solutions. Your expertise in deep learning and computer vision will drive the development of innovative algorithms that keep Jumio at the forefront of the industry. By deploying and maintaining these models in production, you will ensure the robustness and reliability of our solutions, supporting our clients across diverse industries such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions will be pivotal in maintaining Jumio's reputation as the leading provider of online identity verification solutions, helping to meet the growing demand for secure and seamless user verification globally. Example Responsibilities . Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio. Design and implement machine learning, deep learning, classical CV focused on fraud detection. Research to support the deployment of the advanced algorithms. Deploy models as AWS SageMaker endpoints or directly onto devices. Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences. Work collaboratively with other engineers and product managers in an Agile development environment. Experience and Qualifications Bach

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Science desk of the New York Times is looking for a creative, energetic reporter to cover Chinese science for an English-speaking audience. We’re looking for someone who can read widely, in Mandarin and/or Cantonese, and English, and develop a large and diverse network of sources in order to find stories that dramatize the precipitous rise of China as a scientific powerhouse. Topics will include major investments and funding cuts, rising and falling academic stars, the personalities and narratives behind pathbreaking research, the rise of A.I., and more. The Science desk is a highly collaborative team; editors and reporters work closely together to embrace storytelling forms that resonate with readers, and work in an open and collaborative way with other desks of The Times. The ideal candidate will have a proven ability to translate complex scientific subjects to a general audience, and an appetite for fast, frequent filing at a range of lengths and forms — news, explainers, features, audio and video. This is an in-office position based in a New York Times bureau in Asia, and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. The location of the role will be discussed with the recruiter during the interview process. Frequent travel will also be required. Responsibilities: Cover breaking news and produce larger think pieces and cutting-e

RDQ427R204 Databricks builds the world's leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter. The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is arguably the world's largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do. We're looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You'll own the long-term technical direction for how pipelines are defined, optimized, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure: Declarative Dataflow Processing Resource management Efficient storage structures Stream Processing and Complex Event Processing Autonomic Computing and Self-Managing Systems The Impact you will have: Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers. Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale. Bridge the gap between research and production by bringing ideas from the academic literature or internal R&D into systems that solve real customer problems. Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization that moves the needle on cost and latency. Shape product direction alongside engineering and product leadership, owning technical strategy from design thr

The Point72 Academy Summer Internship — Singapore Are you a student interested in pursuing a career in investing? If you are graduating between December 2027 and July 2028, we invite you to apply for our 8-week summer internship, taking place from June to August 2027. Launch your investing career in the Point72 Academy, an investment analyst training program that will provide you with the tools and knowledge to build a career in our ever-evolving industry. Since 2015, the Academy has graduated more than 230 analysts onto our platform as of November 2025; some are portfolio managers today. The Point72 Academy Summer Internship is a combination of classroom instruction, portfolio casework, and mentorship. The program is designed to give you insights into finance, research, and the workings of the public markets and prepare you for a potential opportunity with the full-time Point72 Academy Associate Program. During the internship, you will: Acquire fundamental knowledge and skills necessary to contribute as an analyst, alongside your peers. Receive training in accounting, modeling, presenting, and compliance. Collaborate with an investment team, gaining firsthand experience of the daily life of an equities analyst and exposure to one of the sectors covered by our Portfolio Managers. Work closely with Academy coaches, delving deeper into data analysis and preparing a final pitch on an investment idea. Collaborate with Compliance, Information Security and the Office of the Co-CIO to discover efficient ways to harness AI in your investment processes and workflows. Who We’re Looking For: We welcome students from all academic disciplines. Your field of study or major is not a determining factor; we seek individuals who can effectively manage teamwork, exhibit integrity, possess intellectual curiosity, demonstrate leadership potential, and express a keen interest in the fin

The Point72 Academy Summer Internship — Hong Kong Are you a student interested in pursuing a career in investing? If you are graduating between December 2027 and July 2028, we invite you to apply for our 8-week summer internship, taking place from June to August 2027. Launch your investing career in the Point72 Academy, an investment analyst training program that will provide you with the tools and knowledge to build a career in our ever-evolving industry. Since 2015, the Academy has graduated more than 230 analysts onto our platform as of November 2025; some are portfolio managers today. The Point72 Academy Summer Internship is a combination of classroom instruction, portfolio casework, and mentorship. The program is designed to give you insights into finance, research, and the workings of the public markets and prepare you for a potential opportunity with the full-time Point72 Academy Associate Program. During the internship, you will: Acquire fundamental knowledge and skills necessary to contribute as an analyst, alongside your peers. Receive training in accounting, modeling, presenting, and compliance. Collaborate with an investment team, gaining firsthand experience of the daily life of an equities analyst and exposure to one of the sectors covered by our Portfolio Managers. Work closely with Academy coaches, delving deeper into data analysis and preparing a final pitch on an investment idea. Collaborate with Compliance, Information Security and the Office of the Co-CIO to discover efficient ways to harness AI in your investment processes and workflows Who We’re Looking For: We welcome students from all academic disciplines. Your field of study or major is not a determining factor; we seek individuals who can effectively manage teamwork, exhibit integrity, possess intellectual curiosity, demonstrate leadership potential, and express a keen interest in the financial markets. Students shou

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You’ll Do: As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for: Design, implement, and evaluate novel machine learning and deep learning algorithms. Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature. Conduct experiments to benchmark new techniques and evaluate model behavior. Develop tools and frameworks to support scalable and reproducible research and development. Communicate research findings to leadership in a concise, and convincing manner. Stay current with the latest developments in AI/ML and identify relevant innovations. Assist in transitioning research prototypes into production-ready systems. What You Need: M.S+ degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML. Enjoys solving less-defined and complex problems Familiarity with good SW practices and development, including code quality, version control, etc. Very strong with ML frameworks such as Pytorch, or Tensorflow Good understanding of Tran

Software Engineer Argentina; Uruguay Software Engineer - Robotics & Autonomous Systems Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems. You Will: Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets Build ML training and fine-tuning pipelines using Scale's robotics data Work across backend (Python, Node.js , C++), and frontend (React, TypeScript) stacks to build end-to-end solutions Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development Design comprehensive monitoring and evaluation frameworks for robotics models and data quality Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors Collaborate with ML engineers and researchers to bring robotics research into production Deliver features at high velocity while maintaining system reliability and performance Ideally, You Have: At least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. Strong programming skills in Python and TypeScript/Node.js for production systems Experience with React and m

Clinical / Forensic Psychologist Banding: Band 7 (with preceptorship to 8a for newly qualified Psychologists) Location: Pontypridd, South Wales Working Hours: Full-time (flexibility considered) Salary: Band 7 equivalent, based on experience Are you a Clinical or Forensic Psychologist looking for a role that offers flexibility, career development, and the chance to make a real impact? Join Heatherwood Court, part of Iris Care Group, a leading provider of complex mental health services across South Wales and beyond. Located in a beautiful rural setting near Pontypridd, is a specialist forensic mental health hospital offering Locked Rehabilitation and Low Secure Services. We value our psychologists and provide a dedicated career development programme, including funded training and allocated time for professional growth. Responsibilities In this role, you will: Deliver comprehensive psychological assessments, risk assessments, and formulations Provide evidence-based therapeutic interventions, including CBT, DBT, CFT, EMDR, and Schema Therapy Work collaboratively within a multi-disciplinary team to support service users with complex mental health needs and personality disorders Contribute to staff well-being programmes and offer relationally focused supervision Engage in audit, research, and networking opportunities across Iris Care Group services Benefits Dedicated career development programme with funded training Regular clinical supervision and robust line management support Opportunities for audit, research, and academic collaboration Access to a dynamic team of psychologists and multi-disciplinary professionals Beautiful South Wales location with excellent quality of life Qualifications and Experience HCPC registration as a Clinical or Forensic Psychologist (essential) Experience working with complex mental health needs and challenging behaviours Interest in personality disorder interventions (DBT training desirable; training available) Newly qualified psychologists

A specialist healthcare service is seeking to recruit a Consultant Psychiatrist to join the team within an Eating Disorder inpatient unit. This is a part-time on-site position (30 hours across three days per week) with a salary of £170,000–£180,000 per year (£136,000–£144,000 pro rata). You will be supported by a dedicated multidisciplinary team, including specialist nurses, psychologists, dietitians, occupational therapists, and other professionals experienced in eating disorder care. The team works collaboratively to provide personalised, evidence-based treatment within a well-established and supportive environment. The hospital is a leading independent facility, rated ‘Good’ by regulators, and offers expert care for general psychiatric conditions, addictions, and an accredited eating disorder service. Set within peaceful, landscaped grounds, it provides a calm therapeutic environment for patients and staff. The location offers strong public transport links and convenient access to major roads, along with free on-site parking. What you’ll be doing You will join a compassionate team dedicated to patient wellbeing, using a personalised and evidence-based approach to help individuals move toward a healthier and more fulfilling future. Your key responsibilities will include: Acting as Consultant and Responsible Clinician, leading patient care planning and multidisciplinary collaboration. Assessing and managing complex cases, chairing MDT and CPA meetings, and liaising closely with patients, families, and external stakeholders. Providing clinical leadership alongside the Ward Manager and ensuring compliance with organisational and regulatory standards. Contributing to governance, quality improvement, and service development initiatives. Participating in academic and professional development activities, including teaching, case discussions, audit, and research. More detailed information is available in the job description. What you’ll bring to the role The role is rewar

Job Title: Consultant Histopathologist Grade: Consultant Location: Southwest Working Hours: Full-time, 10 PAs (with flexibility for part-time applicants) Salary: £105,504 – £139,882 per annum About the Role We are seeking a dedicated and experienced Consultant Histopathologist to join our dynamic team at a client based in one of the most beautiful regions of the UK. This is an exciting opportunity to work in a supportive and forward-thinking environment, providing high-quality diagnostic services. Requirements Full registration and licence to practise with the GMC and be on the Specialist Register in Histopathology (or be eligible within six months of interview) UK-trained applicants must hold a Certificate of Completion of Training (CCT) or be within six months of award by the date of interview FRCPath (Part 1 and Part 2) Typical Job Plan Clinical Duties: Reporting on a wide range of histopathology specimens, participating in multidisciplinary team meetings, and providing expert advice to clinical colleagues Teaching and Training: Involvement in the training and supervision of junior medical staff and participation in departmental teaching sessions Research and Development: Encouragement to engage in research activities and contribute to the development of the department On-call Commitment: Participation in the on-call rota as required About the Department The Histopathology Department is a well-established unit with a team of highly skilled consultants and support staff. We are equipped with state-of-the-art facilities and are committed to providing excellent patient care. The department is actively involved in research and has strong links with academic institutions. About the Hospital Our client is renowned for high standards of care and innovation. The hospital offers a wide range of services and is dedicated to improving the health and wellbeing of the community. Located in a beautiful part of the country, the hospital

Dawn Aerospace and the University of Canterbury are seeking expressions of interest from prospective PhD candidates for a number of fully-sponsored research projects in advanced aerospace engineering. Successful applicants will be enrolled as PhD students at the University of Canterbury and will undertake research projects aligned with real-world aerospace challenges at Dawn Aerospace. Candidates will be supervised jointly by University of Canterbury academics and Dawn Aerospace technical experts. This is a unique opportunity to combine doctoral research with direct exposure to one of the world's fastest-growing space transportation companies. Available Research Projects Three projects are available: Microgravity Thermofluids Analysis and Propellant Management: Research focused on fluid behaviour and propellant management in microgravity environments, supporting the development of future space propulsion systems. https://bpb-ap-se2.wpmucdn.com/blogs.auckland.ac.nz/dist/e/1107/files/2026/07/ADS-2.13-Microgravity-thermofluids-analysis-and-propellant-management.pdf Multidisciplinary Design Optimisation for Hypersonic UAVs: Research focused on advanced design methodologies and optimisation techniques for next-generation high-speed aerospace vehicles. https://bpb-ap-se2.wpmucdn.com/blogs.auckland.ac.nz/dist/e/1107/files/2026/07/ADS-2.14-Multidisciplinary-Design-Optimization-for-Hypersonic-UAVs.pdf Design and testing of novel space-efficient damping structures (Coming Soon): A third PhD project will be published shortly and applicants will have the opportunity to express interest in this project as part of the application process. NOTE: This project is not part of the Applied Doctorate Scheme Questions about a project? We recognise that prospective PhD candidates may wish to better understand the research scope, expected outcomes, funding arrangements, and supervision model before applying. If you would like additional information about any of the pro

Scale Labs, Research Scientist — Safety Post Training As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers.. For example, you might: Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties; Develop interpretability-informed evaluations that reveal how and why models produce unsafe, deceptive, or otherwise undesirable behaviors, and use those insights to guide targeted mitigations; Collaborate with policymakers, engineers, and other researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices. Ideally you’d have: Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches. A track record of published research in machine learning, particularly in generati

About the Team The DoorDash Research Fellowship is a 3-month program (extendable to 6 months) looking for Summer and Fall 2026 cohorts, for researchers and engineers who want to work on the hardest applied ML and AI problems in local commerce. Fellows are given the resources, autonomy, and access to real-world operational data needed to pursue ambitious research directions — with the goal of producing work that influences both the field and how DoorDash operates at scale. This program is modeled on the best external research fellowships: fellows are treated as independent researchers, not as junior employees on a product team. You pick the problem (within a set of priority areas), you own the direction, and you publish or ship the outcome. You’re excited about this opportunity because you will receive… Dedicated compute allocation sized to the research agenda — GPU clusters for training and inference budgets for experimentation Full access to DoorDash's research infrastructure — our internal RL stack, training and evaluation pipelines, RL environments built on real operational systems, agent evaluation harnesses, and the tooling our own research teams use day-to-day. Fellows are first-class users, not sandboxed visitors. Access to DoorDash operational data — real-world datasets spanning logistics, merchant operations, consumer behavior, and marketplace dynamics, under appropriate data governance Research mentorship from senior researchers and engineering leaders at DoorDash, plus a named research sponsor for each fellow who meets with you weekly and is accountable for unblocking your work Speaker series featuring leading researchers and practitioners from academia and industry — faculty from top ML programs, research leads from frontier AI labs, and senior operators from across tech. Fellows get dedicated 1:1 time with speakers when possible. A cohort of fellows working alongside you — a small, tight-knit group of researchers tackling different problems but sharing

Scale Labs, Research Scientist — Frontier Risk Evaluations As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities; Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems; Publish evaluation methodologies and write technical reports for policymakers. Ideally you’d have: Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes. A track record of published research in m