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PhD Research Scholar positions - Department of Finance

NHH Norwegian School of Economics

The PhD specialisation​ NHH is pleased to announce openings in the PhD specialisation in Finance. Candidates admitted to the PhD programme will receive the title of PhD Research Scholar. The Department of Finance has 23 faculty members, two-thirds of whom are international. Research at the department spans all major fields of finance, including corporate finance, asset pricing and market microstructure. Faculty regularly publish in the top academic journals and are one of the leading finance groups in Europe. The department has an active research seminar series featuring invited top scholars and an internal brown bag seminar series. The PhD specialisation in Finance gives PhD research scholars the theoretical knowledge and methodological skills necessary to become successful researchers. It combines a one-year intensive course portfolio with ample time to do research and write a dissertation. PhD research scholars work closely with their thesis advisors and receive feedback by presenting their research in internal seminars. The department offers a stimulating research environment and encourages PhD research scholars to participate in its many research activities. We have a strong record of placing graduates in international academic institutions. Research and conference travels are strongly encouraged and funding for these purposes is usually available. The Department of Finance is well connected internationally and is a member of the Nordic Finance Network. Many of our PhD research scholars spend a semester or a year abroad visiting another university. The PhD specialisation in Finance, which has a total of 10 to 12 PhD research scholars, is an important integrated part of the department’s research environment.  See the department’s website here: Department of Finance | NHH​ Start date: August 2027​ The PhD programme​ The PhD programme at NHH is a four-year fully-funded programme, which combines an intensive course component with research and relevant work experience, preparing the school’s graduates for scholarly positions at recognised international institutions and positions in knowledge-intensive institutions and firms outside of academia. Former PhD graduates have been hired by renowned institutions such as Harvard University, The University of Sydney’s Business School, University of Amsterdam, Tilburg University, Hanken School of Economics, Norwegian universities and business schools, as well as by government, banking, finance and consulting industries. The PhD research scholars will be included in a highly stimulating and rewarding research environment, working closely with faculty members and other PhD research scholars at the school. PhD research scholars participate actively in faculty and research seminars, as well as in workshops. As part of the position, the PhD research scholars allocate 25% of their time to career promoting work such as teaching assistance. They also receive pedagogical training. The place of work is at NHH in Bergen, where the PhD research scholars will have their own office space at their department. The PhD programme gives preference to applicants who address research questions that align with the department’s research interests and the available resources for supervision. As the school aspires gender balance and diversity, female applicants will be given preference if applicants are otherwise equally qualified. NHH offers​ • annual salary of NOK 570 000 (equivalent to approximately EUR 50 741 or USD 58 121) pr. August 2027. For particularly well-qualified applicants, a higher salary may be considered. Thereafter annual adjustment of minimum 3%. The salary ensures a fair standard of living in Norway and is subject to Norwegian taxes and benefits, including public health care benefits and pension savings • career guidance and an individual career development plan • opportunity to take basic Norwegian language courses • research funds for travels and funding for conference participation and research stays abroad to build a wider network and strengthen the research of the PhD research scholar The city of Bergen offers a mild coastal climate and hosts rich opportunities for culture and outdoor activities, as well as a family-friendly environment. Note that public healthcare, public schooling for children, and most other public services are free in Norway. To explore Norway and the city of Bergen, go to visitnorway.com​. Eligibility requirements​ Applicants must meet the eligibility requirements​ for the PhD programme. Applicants must normally have completed a five-year Master of Science (MSc) degree in Economics and Business Administration or a comparable degree. The average grade must normally correspond to a minimum of B (4.0) in the Norwegian grade system.  The Department of Finance requires you to demonstrate both an adequate level of academic skills and an adequate level of English language proficiency (unless you are exempt). We accept the following tests: • GMAT or GRE tests to measure your academic skills • TOEFL, IELTS or PTE Academic to measure your English language proficiency When applying, you are required to upload a copy of your unofficial test scores in Jobbnorge before the deadline. If you are shortlisted, NHH will ask you to give us access to your official test scores without delay. Exemptions: • You are waived from the GMAT or GRE tests if you hold a qualifying master’s degree from a Nordic institution. • You are waived from TOEFL, IELTS or PTE Academic tests if you are a native English speaker, if you have a qualifying master’s degree from a Nordic institution or if you have a qualifying master’s degree where the language of tuition was English. For more detailed information about the tests and their minimum scores, please visit our webpage: Admission to the PhD programme| NHH​. If you have questions, you may contact phd@nhh.no​. Application requirements​ You are required to upload the following documents with your application in Jobbnorge: • Certificate of your master’s degree or equivalent, including transcripts of records. You need to have completed your master’s degree prior to the starting date for the position. If you have not completed your degree when applying for the position, please attach a transcript of records of the courses and grades that you have completed so far. • Certificate of your bachelor’s degree or equivalent, including transcripts of records. • Other relevant certificates or transcripts (e.g. courses completed at the PhD level). • If the issuing authority of grades and degrees does not use the ECTS grading scale, include an official description of the grading scale used. • Statement of purpose describing your motivation for applying for this position (250-300 words). • A research proposal (2000-4000 words). The research proposal should describe the aims, research questions, and motivation of the proposed research. Please note that your research proposal is tentative and often needs adjustments after your acceptance into the programme.  • Curriculum vitae. • A list of all publications and/or other documented research activities.    Please upload the documents in separate files, not combined in one single file. Letters of recommendation and contact details of references:​ Letters of recommendation and/or contact details of references may strengthen your application, but they are not mandatory. If you choose to include letters of recommendations, the references should send their letter of recommendation in PDF format to hr-phd@nhh.no​ by latest 15 September 2026.​ Contact details of references may be included in Jobbnorge when you apply.  General information​ For more information on the PhD programme and the submission procedure, please consult the NHH PhD website​. Incomplete applications will not be considered. Please note that applicants for the PhD research scholar position do not need to apply separately for admission to the PhD programme. NHH emphasises diversity and encourages qualified candidates to apply for the position regardless of gender, cultural background, age and disabilities.  In accordance with §25 (2) of the Freedom of Information Act, information about applicants may be made public even if they have requested not to have their names entered on the list of applicants. Applicants will be notified if their request is not granted. As part of the recruitment process, a background check may be conducted with the candidates' consent. For questions and inquiries about the NHH PhD programme, please contact phd@nhh.no​. Applications must be submitted through the Jobbnorge online portal. To open the application, please click ‘Apply for this job’. For the English version, go to the menu at the top right side. Application deadline: 15 September 2026​ PhD programme at NHH​ Let a PhD from NHH be your next career step! Video: https://youtu.be/uALqnX_Lqio

Senior Software Engineer, (Python, GenAI, MCP)

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. SENIOR SOFTWARE ENGINEER, INTEGRATIONS & APPLICATION ENGINEERING AIRBNB | INDIA COMPANY OVERVIEW AIRBNB WAS BORN IN 2007 WHEN TWO HOSTS WELCOMED THREE GUESTS TO THEIR SAN FRANCISCO HOME, AND HAS SINCE GROWN TO OVER 5 MILLION HOSTS WHO HAVE WELCOMED OVER 2 BILLION GUEST ARRIVALS IN ALMOST EVERY COUNTRY ACROSS THE GLOBE. EVERY DAY, HOSTS OFFER UNIQUE STAYS AND EXPERIENCES THAT MAKE IT POSSIBLE FOR GUESTS TO CONNECT WITH COMMUNITIES IN A MORE AUTHENTIC WAY. THE COMMUNITY YOU WILL JOIN The Integrations & Application Engineering team owns the integration and automation platforms at Airbnb. We enable teams across the company to self-serve in connecting their systems and automating solutions, and we integrate Airbnb’s enterprise systems end-to-end. The team also builds and manages custom in-house solutions and the application infrastructure that supports them. This role focuses on designing, building, and maintaining Finance integrations and reports, and on developing the libraries and plugins that power our in-house platforms. We’re looking for someone who takes ownership of systems and solutions, is eager to learn, and is enthusiastic about applying AI — building new tools and integrations with Claude Code that enhance and extend what our team can do. A TYPICAL DAY * Partner with Finance and cross-functional teams across Airbnb to translate their requirements into integrations, automations, and reporting. * Work alongside architects and other technical teams in design discussions and reviews. * Migrate integrations from Oracle Cloud onto our in-house platform. * Pair with and mentor junior engineers and contractors through design reviews, architecture discussions, and pair programming. * Triage and resolve issues across the integrations and infrastructure you support. * Explore the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application, and share the learnings. ROLE & RESPONSIBILITIES * Own the architecture, delivery, and reliability of integrations and microservices in Java/Python/TypeScript. * Extend the in-house integration platform so technical teams across Airbnb can self-serve, and build no-code features that let non-technical teams automate their own workflows. * Design and build AI-assisted automations and MCP integrations that extend internal platform capabilities. * Translate Oracle module requirements into solutions, review with the team, and present to stakeholders. * Uphold quality and reliability through code reviews, testing, monitoring, and incident response. * Document designs and runbooks, and support the application infrastructure. YOUR EXPERTISE REQUIRED: * 8+ years of software engineering experience, with significant focus on building production systems. * 2+ years of hands-on experience with AI integration architecture, including using LLMs in intelligent automation, fine-tuning, prompt engineering, and RAG. * Strong proficiency in backend technologies (TypeScript, Python, or Java) and building microservices and integrations. * Good understanding of messaging infrastructure, data streaming, and storage solutions. * Experience with relational and NoSQL databases, including the ability to write, review, and suggest PL/SQL code optimization. * Strong backend and distributed systems expertise, including API design and AWS. * Track record of using AI in development to ship products from prototype to production. * Proven ability to collaborate cross-functionally and influence without authority. * Excellent communication skills, with the ability to distill complex technical concepts for diverse audiences. PREFERRED: * Financial domain knowledge and experience with Oracle Cloud products or other ERP systems. * Experience building AI agents and MCPs, preferably using Claude. * Experience building integrations using MCP. * Experience with containerization and orchestration (Docker, Kubernetes). * Contributions to open-source, publications at top venues, or public speaking engagements.

AI Engineer | Paris

Pivot

ABOUT US Every company that scales lives or dies by its procurement function. It manages the vendor relationships that keep operations running, the financial guardrails that prevent overspend, and the supply chain resilience that determines whether a company survives a crisis or folds under one. And yet, the people doing this work spend 80% of their time in spreadsheets. Not because they lack ambition, because the tools haven't changed in 25 years. Pivot is building the AI operating system for procurement: enterprise-grade infrastructure that hands the manual grind to AI agents so procurement teams can do what they were actually hired to do, shape the strategic future of their companies. Our platform combines intake, approvals, vendor management, invoice matching, and ERP integrations in a single AI-native platform. We've lived this frustration firsthand. We built Pivot because we couldn't find what we needed, and because we believe procurement shouldn't be the last function to enter the AI era. It should be the first. The adventure started mid-2023 with three founders, former C-levels from fintech unicorns (Qonto and Swile) and highly experienced engineers from top-notch tech companies. We’ve since raised $40M in a Series B round, totaling our funding to $70M, coming from tier-1 investors. We’ve built a team of 70, are operating across 25+ countries, and are trusted by enterprise leaders like DoorDash, Lemonade, Wolt, and Flix We're looking for smart, execution-driven people who care about building something exceptional. WHAT YOU WILL DO * Be among the first AI engineers at Pivot! * Ship high-impact AI features end-to-end, such as document understanding, smart procurement workflows, fraud and anomaly detection, data enrichment, and copilots for buyers and finance teams. * Build the core LLM application & orchestration layer, from prompts and retrieval to tool calling, agents, and structured outputs. * Set up our AI engineering foundations, including evals, datasets, prompt/model versioning, observability, and safe rollout practices. * Design a pragmatic, scalable AI architecture, covering model routing, caching, retries, async workflows, vector storage, and data pipelines. * Own quality, trust, and performance for enterprise-grade AI features, including accuracy, latency, cost, auditability, and fallback strategies. * Work closely with product, design, frontend, and backend teams to turn ambitious AI ideas into reliable product experiences. * Raise the AI engineering bar across Pivot, sharing knowledge and best practices, tools, and processes as the team grows. SKILLS AND EXPERIENCES * You have 5+ years of experience in software engineering, including 2+ years shipping AI/ML features to production - with strong programming skills in Python or one other backend language (Typescript, Java, Kotlin, Go, Scala, C#, Ruby). * You have hands-on experience with the modern LLM stack: frontier and open-source models, RAG, embeddings & vector databases, agent frameworks, and evaluation tooling. * You understand MLOps fundamentals: eval pipelines, dataset versioning, monitoring, drift detection, and safe deployment of probabilistic systems. * You understand backend systems (databases, APIs & 3rd-party integrations, security, performance) and are comfortable in micro-services and event-driven architectures. * You are rigorous about best practices and know how to translate them to the AI world (evals as tests, prompts as code, data as a first-class artifact). * You are fluent in English - it is our business language MINDSET * You care about solving real user problems, not adding AI for the sake of it. * You think product-first, with a strong focus on user experience, business impact, and measurable value. * You are pragmatic about technology choices: you know when to use a frontier LLM, a smaller model, a classifier, a rule-based system, or a simple regex. * You like turning ambiguity into simple, reliable systems, and you are comfortable starting from zero. * You write high-quality code and make thoughtful trade-offs between speed, robustness, cost, and maintainability. * You are curious, open-minded, and non-dogmatic, with a willingness to challenge ideas and be challenged. * You enjoy the pace of an early-stage scale-up, taking ownership, moving fast, and bringing clarity when things are still being defined. * You are a strong team player, eager to share knowledge, raise the bar, and build with smart, kind, and ambitious people.