Role Description The Electricity Infrastructure and Buildings Division of PNNL is accelerating the transition to a decarbonized, efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. The Optimization and Control Group and the Energy Systems and Resilience Group are looking for a Summer Intern to contribute to innovative research on foundational models and cybersecurity. The intern will play a key role in leveraging foundational models to streamline user interactions and provide targeted insights for an existing multi-criteria decision-making platform used in large-scale infrastructure planning. Additionally, the position will also focus on the application of Artificial Intelligence (AI) to develop a set of supplementary tools to enhance the Cybersecurity Capability Maturity Model (C2M2). The intern will work with PNNL staff to: - Simplify user interactions and answer complex infrastructure planning queries for multi-criteria decision making in large-scale infrastructure planning. - Enable users of the C2M2 to advance the maturity of their cybersecurity program. The work will require an understanding of AI training, testing, and validation. Furthermore, the intern may be required to work with PNNL staff in the deployment of the tool. Qualifications - Currently enrolled/matriculated in a PhD program at an accredited college. - Minimum GPA of 3.0 is required. - Preferred: Currently enrolled in PhD program Computer Science, Electrical Engineering, Computer Engineering, Data Science, Cybersecurity, or a closely related field. - Preferred coursework or project experience in: - Machine learning/NLP - Information retrieval - Software engineering - Cybersecurity - Nice-to-have: Relevant certifications or training such as Azure/AWS fundamentals, Security+ (or equivalent), or prior research/industry experience with applied AI. - Intermediate programming ability in Python; familiarity with software engineering basics (Git, code reviews, unit testing, packaging). - Some working knowledge of LLMs and agent frameworks (e.g., OpenAI/Anthropic APIs, Azure OpenAI; LangChain and/or LlamaIndex) including prompt design, tool/function calling, retrieval-augmented generation (RAG), and basic agent orchestration. - Experience with data preparation and knowledge management: - Cleaning/structuring text - Document ingestion - Metadata/tagging - Embeddings - Working with vector databases (e.g., FAISS, Chroma, Pinecone, Azure AI Search, Elasticsearch). - Understanding of AI evaluation, testing, and validation: - Creating test sets - Measuring response quality/accuracy - Hallucination and bias considerations - Regression testing for prompts/agents - Documenting limitations. - Familiarity with cybersecurity concepts sufficient to work with C2M2 content (e.g., governance, risk management, asset management, incident response); ability to learn the C2M2 model quickly and translate it into user workflows. - Basic experience or understanding building web apps or APIs for deployment/integration (e.g., Flask/FastAPI, Streamlit, or similar), plus containerization fundamentals (Docker) and cloud/service deployment awareness. - Strong written communication and documentation skills (requirements capture, design notes, user guidance), ability to collaborate with researchers/engineers, and comfort working with sensitive information under defined controls. Requirements - Not Applicable Benefits - Employee assistance program - Business travel insurance - Company funded pension plan and 401k savings plan (once eligibility requirements are met) Company Description Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.

Role Description Du entwickelst Software dort, wo sie zuverlässig funktionieren muss: nah an Hardware, Systemverhalten, Simulation und Testumgebungen. Du möchtest an anspruchsvollen Luftfahrtsystemen arbeiten, bei denen saubere Architektur, robuste Implementierung und technische Verantwortung entscheidend sind? Dann bist du bei uns genau richtig! Deine Mission: - Entwicklung von Software für ein komplexes Luftfahrtsystem – von systemnahen Komponenten über Schnittstellen und Tools bis hin zur Testautomatisierung. - Je nach Erfahrung arbeitest du an Embedded-Software, Simulationsanbindung, Datenverarbeitung, Testframeworks oder Integrationssoftware. - Die konkrete Toolchain ist projektabhängig. - Entscheidend sind solide Software-Engineering-Fähigkeiten, technisches Verständnis und die Bereitschaft, dich in ein anspruchsvolles Aerospace-/Defence-Umfeld einzuarbeiten. Deine Aufgaben: - Entwicklung, Erweiterung und Wartung von Softwarekomponenten für Flugkörper- und Luftfahrtsysteme. - Umsetzung technischer Anforderungen in robuste, wartbare und testbare Software. - Entwicklung von Tools, Schnittstellen und Testautomatisierung für Entwicklungs-, SIL- und HIL-Umgebungen. - Integration von Software mit Hardware, Sensorik, Aktorik, Simulationsumgebungen und Testsystemen. - Unterstützung bei Debugging, Fehleranalyse, Systemintegration und Inbetriebnahme. - Mitarbeit an Softwarearchitektur, technischen Konzepten, Requirements und Designdokumentation. - Enge Zusammenarbeit mit System Engineering, Test Engineering, Hardware, Algorithmik und Kunden. - Sicherstellung von Code-Qualität durch Reviews, Tests, Automatisierung und geeignete Entwicklungsprozesse. - Unterstützung bei Integration, Inbetriebnahme und Validierung auf Zielsystemen. Qualifications - Abgeschlossenes technisches Studium, eine vergleichbare Ausbildung oder gleichwertige Praxiserfahrung, z. B. in Informatik, Software Engineering, Elektrotechnik, Luft- und Raumfahrttechnik, Physik oder einem verwandten technischen Bereich. - Mindestens 2 Jahre Berufserfahrung in der Softwareentwicklung. - Solide Programmierkenntnisse in mindestens einer relevanten Sprache, z. B. C, C++, Python, Rust, Java oder vergleichbar. - Erfahrung mit Linux, Git, Build-Systemen, Debugging, automatisierten Tests oder CI/CD. - Verständnis für Softwarequalität, saubere Schnittstellen, nachvollziehbare Dokumentation und wartbare Architektur. - Interesse an hardwarenaher Entwicklung, Luftfahrtsystemen, Embedded Systems oder simulationsnaher Software. - Analytische, eigenständige und lösungsorientierte Arbeitsweise. - Sehr gute Deutsch- und Englischkenntnisse für technische Abstimmung, Dokumentation und Zusammenarbeit in internationalen Projektteams. Requirements - Erfahrung in einem oder mehreren dieser Bereiche mit: - Erfahrung mit Embedded Linux, RTOS, Echtzeitsystemen oder hardwarenaher Softwareentwicklung. - Erfahrung mit Aerospace, Defence, UAVs, Flugkörpern, Avionik oder sicherheitskritischen Systemen. - Kenntnisse in HIL, SIL, Testautomatisierung, Simulationsanbindung oder modellbasierter Entwicklung. - Erfahrung mit C/C++, Python, MATLAB/Simulink, Rust, CAN, Ethernet, Sensorinterfaces oder Aktuatoransteuerung. - Verständnis für Radar-, Navigations-, Flugregelungs- oder Sensorsysteme. Benefits - Du musst nicht alle genannten Punkte vollständig erfüllen. - Entscheidend sind für uns solide Software-Engineering-Kompetenz, technisches Verständnis, Lernbereitschaft und die Fähigkeit, in komplexen technischen Systemen strukturiert und verantwortungsbewusst zu arbeiten. - Klingt nach dir? Dann melde dich einfach bei uns. - Kein langes Anschreiben nötig – eine kurze Übersicht über deine Projekte, Aufgaben und die Technologien, mit denen du gearbeitet hast, reicht völlig. - Wir freuen uns darauf, dich kennenzulernen. - Hast du noch Fragen? Dann melde dich gerne bei uns. Company Description Ansprechpartner: - Korinna Wagner - Recruiting - brainchild GmbH - Öttinger Straße 19 - 84307 Eggenfelden - Telefon: +49 8721 127 2557 - Email: career@brain-child.de

• Develop and maintain websites on WordPress, Shopify, Wix, Squarespace , and WooCommerce . • Customize themes, plugins, and website layouts as per client requirements. • Build responsive pages using HTML5, CSS3, JavaScript , and jQuery. • Troubleshoot website issues, fix bugs, and ensure smooth functionality. • Manage hosting, DNS settings, SSL setup, backups, and security updates. • Optimize website performance, speed, and SEO structure. • Integrate third-party tools such as payment gateways, CRM, forms, analytics, and tracking pixels. • Support end-to-end website delivery from development to deployment (go-live).

• To advance Teach For All’s 25-year vision, we are seeking a strategic AI leader developer to join our Technology & Innovation team and work globally to identify and implement transformative technology solutions to accelerate the impact of our global network. • This role will work across the network with partners or groups of partners in order to identify and deliver transformative AI-forward technology products to accelerate network impact, as well as internally across the global organization to increase efficiency and effectiveness of our work. • The successful candidate will also be responsible for helping build and cultivate a community of technology enthusiasts across the network made up of network staff members, fellows and alumni who will contribute to these projects. • The Technology & Innovation Team provides thought-leadership and solutions as well as foundational support in the use of technology to unlock potential and accelerate impact across the organization and the global network. • You will play a key role in this work. • Identifying and delivering key AI-forward technologies for network partners to support their work. These may include tools for common needs across the network – classroom data collection, professional development of fellows, scheduling and management of Assessment Centers (where teaching fellows are selected) or new platforms (connectivity tools, online learning) - which are identified and scoped in partnership with our network partners. Many if not all of these technologies will include AI components.