• Build ML models that can scale to millions of requests per second while maintaining performance. • Translate business requirements into technical specifications. • Develop ML models that satisfy memory and compute constraints, evaluate them properly, and debug effectively. • Provide technical mentorship to other ML research engineers. • Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users. • Write clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests. • Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability. • Provide technical input to the research roadmap.

The DFF project Ranking-based cumulative advantage and The Department of Business & Management (DBM) at the University of Southern Denmark (SDU) invites applications for a 6 month part-time (20%) Research Assistant position. The work will be done remotely from your home and is vacant from 1st September 2026 or soon thereafter. Job description The research assistant will develop computational methods for simulating decision processes on online interfaces (i.e., rating interfaces, search engines) and analyze/visualize the results. For further information, please contact Associate Professor Pantelis Pipergias Analytis pantelis@sam.sdu.dk. How to apply for this position Appointment to the position will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for research assistants as described herein. Please check links for more information on salary (only available in Danish) and taxation. For more information on the department guidelines for qualification and recruitment please visit our website. An application must include: - Motivation letter - Detailed CV where education and work history must be date, month and year specific. - Master's degree (copy of original + verified English translation). As a master’s degree is a requirement for this position, please indicate if you haven’t finished this yet, with information on when you will be able to provide us with this diploma. All non-Danish documents must be translated into English, and documents should not contain a CPR number (civil registration number). If they do – the CPR number must be crossed out. We request files in pdf-format no more than 5 MB per file. All pdf-files must be unlocked and allow binding and may not be password protected. Applications will be assessed by an assessment committee and the shortlisted applicants will receive the part of the evaluation that concerns them. The committee may request additional information, and if so, it is the responsibility of the applicants to provide the necessary material. Shortlisting may be used in the assessment process. Please note that only shortlisted applicants will receive an assessment. Read about shortlisting at SDU. When the assessment committee has submitted its report, the applicant will receive the part of the evaluation that concerns him/her. The assessment report will subsequently be forwarded to the Head of Department who will assemble an appointments committee. The appointments committee will manage and complete the job interviews, should such be conducted. Interviews and tests may be part of the overall evaluation. UPLOAD GUIDE: Motivated application shall be uploaded as ‘Cover letter’, Curriculum Vitae shall be uploaded as ‘Resume’. All other documents shall be uploaded as ‘Miscellaneous documents’. If the application does not meet the requirements mentioned above, the faculty may reject your application without further notice. Applications received after the deadline will neither be considered nor evaluated. If you experience technical problems, please contact hcm-support@sdu.dk. The person employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a self-organiser. Application deadline is April 30th, 2026, 11.59 PM/23.59 (CET/CEST) The University of Southern Denmark wishes to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position. About SDU The University of Southern Denmark was established to create value for and with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best environments for research and learning. It is therefore crucial that SDU retains, develops and recruits talent. At the same time, we need to ensure consistently high quality in all our activities – and we can only do that with the right people. The University’s researchers, lecturers, students, managers and technical/administrative staff are the foundation of our success.

Location: Remote (US / Europe) Company Description At Codility, we empower companies to assess, manage, and develop engineering teams more effectively. Our platform enables organizations to evaluate candidates based on the technical skills that matter, fostering better hiring decisions and empowering engineers to tackle the world’s biggest challenges. Over the past decade, we've assessed the skills of over 12 million candidates and helped thousands of engineering leaders build high-performing, diverse teams. Role Overview Help unlock the world’s engineering potential by shaping how companies evaluate and hire technical talent. This role sits at the center of customer impact and product innovation. As an Assessment Scientist you will guide enterprise organizations toward better, fairer hiring decisions while helping Codility embed assessment science directly into our platform. We are looking for someone that can work at the intersection of I/O psychology, AI, and engineering to build the next generation of skills-based hiring. What You’ll Do - Partner with enterprise customers to design and implement skills-based assessment strategies that improve hiring outcomes, retention, and candidate experience. - Act as a trusted advisor on job analysis, assessment design, candidate communication, and fair hiring practices. - Translate complex assessment science concepts into clear, actionable recommendations for business stakeholders. - Conduct job analyses and define success profiles for technical roles. - Design and execute validation studies (content and criterion-related) to ensure assessments are predictive and defensible. - Apply AI/LLM tools to enhance assessment design, candidate evaluation, and insight generation. - Use AI pragmatically to scale workflows (e.g., job analysis augmentation, content generation, scoring support) while maintaining scientific rigor and fairness. - Produce clear, defensible technical documentation for customer and internal use. - Analyze assessment and platform data to generate actionable insights that improve test performance and customer outcomes. - Use both statistical methods and AI-assisted analysis to optimize hiring processes. - Build & Innovate - Collaborate with Product, Engineering, and AI teams to embed assessment science best practices into Codility’s platform. - Contribute to AI-driven assessment capabilities and scalable, productized solutions. What You’ll Bring: - M.A./M.S. in Industrial/Organizational Psychology, Occupational Psychology, or a related field with 3–4+ years of applied experience, or a Ph.D. with 1-2+ years of applied experience. - Experience in at least one of the following areas: employee selection, talent assessment and validation, or Learning & Development (L&D), including skills frameworks or competency modeling. - Demonstrated ability to use AI tools in applied workflows, including using LLMs (e.g., ChatGPT, Claude) to support analysis, content creation, or decision-making. Ability to evaluate AI outputs critically and ensure they meet quality, fairness, and professional standards. Interest in applying AI to scale assessment science in a product environment. - Strong foundation in job analysis, validation methods (content and criterion-related), and adverse impact analysis. - Working knowledge of employment guidelines and regulations (e.g., Uniform Guidelines). - Experience using statistical tools (e.g., R or Python) and survey methodologies. - Ability to work directly with customers and communicate complex concepts clearly to non-technical audiences. - Strong ownership mindset with the ability to manage projects and operate effectively in a fast-paced, cross-functional SaaS environment. Nice to have - Experience working with technical roles (e.g., engineering, data, IT), including designing or evaluating technical or work-sample assessments. - Experience working in a SaaS or technology company, especially in cross-functional teams with Product and Engineering. - Experience in a consulting or client-facing role advising enterprise stakeholders on talent, assessment, or workforce strategy. - Experience translating assessment science into scalable, productized solutions - Experience applying AI/LLMs in practical workflows, such as content generation, analysis, or evaluation in a business or product setting. - Experience creating thought leadership or external content, such as white papers, webinars, or conference presentations. Why Codility? - Work on cutting-edge products that are reshaping how companies build and manage engineering teams, alongside a diverse, inclusive team that values equity and collaboration. - While we are remote-first, we understand that bringing teams together matters. Once a year, the entire company meets in person to connect, and each function holds an annual off-site to invest in team building, strategy, and a bit of fun. - We work hard to create and optimize healthcare packages for the diversity of families we have at Codility. We believe everyone should have access to quality healthcare, and we make sure this is equitable across all our countries. - Your physical, mental, and financial well-being are important to thriving at work and in life. We provide a monthly budget for well-being-related expenses such as gym memberships and financial advisors. - Resting and recharging are critical to sustaining high performance. All Codility employees receive 27 days of PTO, four mental health days, and local holidays. - You'll also benefit from competitive compensation, including salary, perks, and equity.

Who We Are Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time. Enterprises rely on Pindrop to secure billions of high-risk customer interactions each year, including top U.S. banks, as well as leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, Pindrop restores trust while reducing fraud, lowering operational costs, and improving customer experience. Recognized by TIME as one of 2025’s Best Inventions and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG. We are looking for Research Scientist Interns to help explore exciting research ideas across one or more of the following areas: fraud detection, authentication, speech and audio processing, video analysis, biometrics, and synthetic media detection. This candidate will work in a world-class team of researchers and will play a key role in developing next-generation technologies that improve trust, security, and user experience across voice and digital interactions. What you'll do - Develop and evaluate machine learning systems: Design, implement, and assess advanced models for problems such as fraud detection, authentication, biometric verification, speech processing, video understanding, and synthetic media detection. - Prototype and validate new research ideas: Explore state-of-the-art AI/ML techniques and build proof-of-concept systems to address emerging challenges in security, identity, and media authenticity. - Work with multimodal data: Analyze and model speech, audio, video, and related signals to improve system accuracy, robustness, and real-world performance. - Benchmark against industry standards: Evaluate models on internal and public datasets, participate in relevant research benchmarks and challenges, and compare approaches against state-of-the-art methods. - Collaborate on research and innovation: Partner with researchers, engineers, and cross-functional teams to translate research ideas into practical capabilities. Contribute to technical reports, publications, and thought leadership where appropriate. Who you are - You are a creative problem solver who is excited about building amazing products that add real value to millions of people. - You are enthusiastic about biometric security, fraud prevention, authentication, and developing research ideas into products. - You can explain complex topics in simple terms, and you love building strong relationships with colleagues and stakeholders. - You are a self-starter and excel in a fast-paced, dynamic environment that often includes ambiguity. - You are resilient in the face of challenges, change, and ambiguity. - You are optimistic and believe that you can make a problem into a solution. - You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed. - You take accountability, do the things you say you will do, under-promise and over-deliver. - You are nimble and adaptable when priorities change and continue to see the forest through the trees. Your skill-set Must haves - Active enrollment in a PhD program in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) required. - Ability to demonstrate experience in one or more of the following: fraud detection; authentication and identity verification; speech processing; audio and/or video deepfake detection; speech, audio, image, or video generation/synthesis; speaker recognition/processing; anti-spoofing; voice biometrics; facial recognition; video understanding and analysis; machine learning for security, biometrics, or trust and safety. - Python skills required. - Experience with ML frameworks such as PyTorch, TensorFlow, or Keras required. - Proven track record of successful and timely project delivery required. Nice to haves - Experience with ML, speech, vision, or security-related challenges and benchmarks (ASVspoof, Kaggle, NIST SRE, CHiME, AV-Deepfake1M++, etc.). - Experience with C/C++. - Deep knowledge of biometrics, authentication, fraud, customer experience, speech, or video research concepts. What’s in it for you In an era where synthetic media, fraud, and identity manipulation are accelerating, we ensure that every interaction involves the real human and the right human. Our work directly protects financial institutions, enterprises, and consumers from fraud, deception, and identity compromise. You will wake up every day knowing your work has a real-world impact. You will work alongside some of the best technical minds in security, AI, and voice intelligence. We are intense about excellence, but we are also a team that enjoys the journey. If you want to build something that matters- and be proud of the company you help shape- this is that opportunity. What we offer As a part of Pindrop, you’ll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here’s a snapshot of the benefits we offer: - Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success. - Remote-first environment - giving you flexibility and autonomy in how you structure your day. - While we work flexibly, we prioritize meaningful in-person moments through regular team on-sites, company-wide events, and intentional gatherings that foster connection, collaboration, and shared success. - Unlimited Paid Time Off (PTO) - Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! - Best-in-class Health Savings Account (HSA) employer contribution - Low-cost vision and dental plans for you and your family, providing comprehensive coverage and peace of mind. - Paid Parental Leave - Including birth, adoptive & foster parents - Recurring monthly phone and internet allowance to help cover essential connectivity costs and support flexible work. - Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs. - Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. AI - A Transformative Force At Pindrop, we view artificial intelligence as a transformative force that, when harnessed responsibly, can unlock unprecedented value for our customers, partners and society and enable and empower us to continue to deliver cutting-edge technology to combat fraud and unblur the lines between what it means to be human versus machine. Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all applications may be individually reviewed. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.