
SVERIGES LANTBRUKSUNIVERSITET · Uppsala
Department of Ecology The Swedish University of Agricultural Sciences (SLU) is one of Northern Europe largest academic hubs for ecological research and offers a...
Department of Ecology
The Swedish University of Agricultural Sciences (SLU) is one of Northern Europe largest academic hubs for ecological research and offers a dynamic and excellent research environment with modern infrastructure. The Department of Ecology has about 150 employees, of whom around 40 work at the Grimsö Research Station in Bergslagen. Together, the SLU Ecology Centre and Grimsö Research Station conduct research on sustainable agriculture and forestry, plant protection, nature conservation, and wildlife management, and provide scientific knowledge to inform Sweden and Europe’s environmental policies.
About the position
Project
Can we foresee the outcomes of public policies, political choices and other decisions? We are finding out by developing serious games and running them using AI.
We are building large-scale simulations of societal processes (environmental negotiations, nature conservation policies, and hybrid-threat scenarios) in which every actor is an autonomous AI agent powered by Large Language Models (LLMs). These agents simulate real-world stakeholders, from government ministers to interest groups, and interact through natural language in complex strategic settings. We then run thousands of iterations to map the distribution of outcomes.
This effort is part of a new research program Articulating Complexity ( https://www.slu.se/articulating-complexity/ ) hosted at the Swedish University of Agricultural Sciences (SLU) and led by Guillaume Chapron (Docent). It is funded by grants from the Swedish Research Council (VR), the Swedish Foundation for Strategic Environmental Research (Mistra), and the Swedish Research Council for Sustainable Development (FORMAS).
Our goal is to build a novel methodology at the intersection of AI, ecology, political science, and complex system analysis that may change how policies are designed and stress-tested and how governments prepare for crises. We are looking for ambitious research engineer to join this effort.
Tasks and duties
You will be the person who makes the simulations actually run. Concretely, this means:
Building the LLM-agent infrastructure (from an existing working implementation). Each agent has a multi-tier memory and an affect state that modifies both prompts and available actions, and a strategic reasoning layer that tracks reputation, commitments, and mental models of other agents.
Extending and maintaining the multi-agent simulation framework. A simulation runs dozens of concurrent LLM instances, communicating through structured message-passing protocols. You will develop and maintain this framework, including the validation methodology.
Running large-scale Monte Carlo simulations at scale on GPU-enabled HPC clusters (e.g. NAISS).
Publishing and dissemination of the project results. You will co-author scientific publications from the project. The research will produce papers at the intersection of computational social science, ecology, security studies, and AI.
You will work closely with the PI (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/) and a postdoctoral researcher in computational social science (to be recruited concurrently). The three of you will form the core team.
Your profile
Required
A degree in computer science, engineering, physics, applied mathematics, or a related quantitative field. A Master or engineering degree is sufficient; a PhD is welcome but not required.
Strong programming skills, especially in Python, and sufficient understanding of machine learning/deep learning to work effectively with modern generative AI systems. Ability to assess and incorporate cutting-edge generative AI developments into the project.
Experience with software engineering practices such as version control, testing, documentation, modular design, and reproducible workflows.
Ability to work independently, debug complex systems under time pressure, and take ownership of technical infrastructure.
Desirable
Experience with LLMs, including programmatic use through APIs and local deployment. The candidate should be able to select, configure, adapt, and critically evaluate LLMs for research applications.
Experience with deep reinforcement learning, agent-based modelling, or multi-agent systems, including the design of simulation environments, interacting agents, decision rules, feedback mechanisms, and scenario-based analyses.
Experience with high-performance computing: batch job submission, GPU workflows, and managing large-scale computational experiments.
Interest in the application domain: nature conservation, environmental policy, political science, geopolitics and security studies, complex adaptive systems. You do not need a formal background in these fields, but you should find them interesting.
Assessment criteria
Demonstrated technical ability. We care more about what you have built, than about what courses you have taken. A GitHub portfolio, a deployed system, a well-documented side project, or a track record of solving hard AI problems will carry more weight than a list of credentials.
Autonomy and resourcefulness. This is a small team doing frontier work, so the role requires someone who can diagnose problems independently, make pragmatic technical decisions, and keep complex systems running. If that excites rather than worries you, this is the right position.
Collaborative disposition. You will work daily with questions from very different disciplines: ecology, political science, geopolitics. The ability to communicate technical constraints and possibilities to non-technical collaborators is essential. Interpersonal skills will form an important part of the assessment.
The position is based either at Grimsö or at Uppsala, with a possibility to be partly based at another academic Swedish institution with a core expertise in AI and machine learning.
Fixed-term employment 12 months with the possibility of prolongation.
As agreed, as soon as possible after recruitment.
Please submit your application before deadline 14 July 2026. You can submit your application by clicking the button below. This is a shortened advertisement. Please refer to the full advertisement on the SLU website for complete information about the position and details on what to include with your application.
We are looking for a Software Developer to join our dynamic Audio Tools team at Dirac. If you are eager to work with cutting-edge audio technologies and contribute to innovative audio solutions, this role is for you. Our best-in-class technology has given us a customer base that includes many of the world's most reputable brands. In this role, you will play a key part in making that technology come to life inside high-end consumer electronics products, working at the intersection of deep engineering and customer collaboration. We are on an exciting journey of growth and scale, driven by our ambition to deliver the ultimate audio experience that transforms how the world listens. About the role You will be part of a dedicated team developing our audio tuning tools and implementations of our signal processing algorithms. The team is a full-stack team consisting of experts of GUI design, algorithm design, DSP embedded programming and cloud development. Each team member has their own area of expertise but there are plenty of opportunities to work across each discipline. You will work closely with other Dirac software developers, tuning engineers and researchers to invent the future of sound. Key responsibilities: Implement audio algorithms into the Dirac filter design tool in C++ Design and implement the user-interface for an easy-to-use experience Coordinate with stakeholders in our research and customer solution departments Take part in architectural discussions to design the tool for scalability Maintain, test and release the application on windows Assist the Technology Manager to refine complex and large work items into smaller, valuable and estimated user stories Run the daily meetings, sprint reviews and retrospectives Qualifications and experience Master of Science in computer Science or equivalent experience Strong programming experience and proficiency in C++ Ability to use a variety of open-source technologies and cloud services Experience with GUI development Fluency in both spoken and written English Valid work permit or citizenship that allows you to work in Sweden Desired qualifications A sincere interest in music and sound quality is a considerable advantage Knowledge in audio signal processing and/or advanced mathematics Experience with working with project management, especially between different teams Programming experience with Qt Widgets, JUCE and in C Experience working as a scrum master Experience or interest in design and/or UX Experience with Agile development Familiarity with Source control with Git Familiarity with CMake About Dirac Dirac is an audio tech company, known for best-in-class technology and a prestigious customer base that includes many of the world’s most reputable brands. We are passionate about audio and innovation, and our pioneering technology is shaping the future of sound experiences. We are a global company with headquarters in Uppsala, Sweden, and R&D facilities in Copenhagen, Denmark, and Bangalore, India, with representation in Greater China, Germany, Japan, Korea, and the United States. Please read more about us at https://www.dirac.com/ and follow us on Social Media! Location Your main location will be at Dirac’s headquarters in central Uppsala, Sweden. Living with commuting distance to Uppsala is an advantage. Application The selection process is continuous, and the advert may close before the recruitment process is completed if we have moved forward to the screening or interview phase. Please note that, due to summer holiday, we will not be reviewing applications or responding to candidates during July. We will resume the recruitment process in August. We’re looking forward to your application!
What Dirac Offers You Our best-in-class technology has given us a customer base that includes many of the world's most reputable brands. In this role, you will play a key part in making that technology come to life inside high-end consumer electronics products, working at the intersection of deep engineering and customer collaboration. We are on an exciting journey of growth and scale, driven by our ambition to deliver the ultimate audio experience that transforms how the world listens. Your role as Senior DSP Software Developer This is primarily a signal processing role. As a Senior DSP Developer for Dirac Live within Home & Pro, you will implement, refine, test, and evaluate the algorithms at the core of our products: estimation of acoustic systems from measurements, and design of correction filters for calibration and optimization of loudspeakers in real rooms. The team's focus is on productization and continuous improvement of these algorithms, turning them into robust, high-quality features in shipping products. You will work on the core processing behind our flagship Dirac Live technologies, including Dirac Live Active Room Treatment (ART), now shipping with several leading OEMs. Day to day, this means working with digital filters, FIR and IIR, phase behavior including minimum- and mixed-phase systems, frequency- and time-domain analysis of measured loudspeaker-room responses, and trade-offs between correction performance, robustness, latency, and computational cost. Most of the implementation is in modern C++ running locally inside the end-user app, with some parts running in the cloud. Your responsibilities will include: Continuously improve and evaluate the audio processing algorithms, and reason about the audible impact of changes Productize signal processing algorithms into scalable and maintainable C++ code Optimize algorithm complexity (cycles and memory footprint) without compromising audio quality Build and maintain evaluation methods and datasets to quantify audio performance and guard against regressions Assist the product manager in refining complex work items into smaller, valuable, and estimated user stories Test and use our product at home or in the lab Assist with 2nd-line customer support Maintain and improve the infrastructure and processes for build, test, and release Who you are You have a solid theoretical foundation in signal processing and professional experience applying it, not necessarily in audio. If you're not already familiar with room acoustics you can learn them here, however, you must know the fundamentals of signal processing. You should be comfortable discussing practical DSP trade-offs, such as when to choose an FIR filter over an IIR filter, how magnitude and phase response affect timing, ringing, group delay, and latency, and how to reason about systems in both time and frequency domain. Qualifications: M.Sc. or PhD in Signal Processing, Electrical Engineering, Engineering Physics, Applied Mathematics, or a similar field, preferably including advanced coursework in signal processing 5+ years of industry experience, including several years of hands-on professional signal processing work; audio signal processing experience is a strong advantage Solid grounding in digital signal processing theory: e.g. FIR/IIR filter design and trade-offs, magnitude and phase response, group delay, latency, and time- and frequency-domain analysis. Ability to work effectively in a large modern C++ codebase, including reading, debugging, testing, and extending production code. You do not need to be a C++ language specialist, but you should be comfortable turning algorithmic ideas or prototypes, for example in Python or MATLAB, into maintainable implementation. Ability to reason about the audible impact of algorithm changes and performance trade-offs Passion for high-end audio Appreciation for agile development Fluency in spoken and written English A team-oriented attitude, as well as the ability to work independently A valid work permit or citizenship allowing you to work in Sweden Desired qualifications: Experience with room acoustics, acoustic measurements, or room correction technology Experience working hands-on in audio labs: connecting equipment, measuring, testing, and evaluating Experience with software engineering tools (e.g. Git, CMake, Conan) About Dirac Dirac is an audio tech company, known for best-in-class technology and a prestigious customer base that includes many of the world’s most reputable brands. We are passionate about audio and innovation, and our pioneering technology is shaping the future of sound experiences. We are a global company with headquarters in Uppsala, Sweden, and R&D facilities in Copenhagen, Denmark, and Bangalore, India, with representation in Greater China, Germany, Japan, Korea, and the United States. Please read more about us at https://www.dirac.com/ and follow us on Social Media Location The location will be at Dirac’s headquarters in central Uppsala, Sweden. Application The selection process is continuous, and the advert may close before the recruitment process is completed if we have moved forward to the screening or interview phase. Please note that, due to summer holiday, we will not be reviewing applications or responding to candidates during July. We will resume the recruitment process in August. We’re looking forward to your application!
Om företaget GKN Aerospace Sweden ingår i GKN Aerospace, som tillverkar motorkomponenter, flygplansstrukturer, kabinfönster, kablage och mycket mer till många av världens flygplan. Företagen i Aerospace-divisionen som arbetar med delar till flygmotorer bildar tillsammans Engines och vid anläggningen i Trollhättan utvecklas och tillverkas avancerade delar till motorer för flygplan och rymdraketer. De arbetar även med motorunderhåll. Driven by a vision of sustainable aerospace innovation, GKN Aerospace develops next-generation design concepts focused on weight reduction and integrated functionality for future aviation. The Global Technology Center plays a key role in delivering advanced designs, materials, manufacturing methods, and inspection solutions for engine systems. Key responsibilities We are looking for an Associate Research Engineer / Specialist to join our Research Centre with a strong interest in inspection of manufacturing processes, particularly within aerospace applications. In this role, you will: • Perform inspection and evaluation of specimens produced through Additive Manufacturing (AM) processes • Correlate inspection results to support and enable AM process and material development • Work closely with process development teams to improve manufacturing quality and reliability • Contribute to the development of inspection methodologies for advanced aerospace components • Analyze inspection data to drive process optimization and defect understanding. •Travel will occur. Travel to other locations in EU/US is included in the role if necessary. What You Will Learn: • Various NDT methods (X-ray Computed Tomography, Radiography, Thermography, Ultrasonic) • Your focus will be on X-ray CT and Radiography • You will have the opportunity to collaborate with world leading experts in NDT field both within GKN Aerospace and within other industry partners. Qualifications • MSc in Mechanical Engineering, Materials Engineering, Production Engineering, Industrial Engineering, Physics or a related field; alternatively, a BSc in a relevant discipline with at least 2 years of industry experience. • Strong written and verbal communication skills, with the ability to produce clear technical reports and deliver effective presentations. • Fluent in English. • Develops new NDT processes, transitions emerging technologies into production, and ensures continuous improvement through effective lessons learned, knowledge capture, and process development. • Solid understanding of manufacturing processes, including additive manufacturing techniques. • Knowledge of non-destructive testing (NDT) methods. • Hands-on experience with X-ray Computed Tomography and/or radiography is considered a plus. • Experience in Computer-Aided Engineering (CAE) tools is advantageous. • Programming skills and/or experience with AI-related methods are considered an asset. Personal Skills • The ability to clearly and effectively communicate ideas and feedback. You have good social skills, the ability to create effective networks and can take on a technical responsibility role • Willingness to work with others and contribute to team success. You like to work in an RNT environment. • Flexibility in adjusting to new challenges and environments. • Understanding and being considerate of colleagues’ perspectives and feelings. • Maintaining a positive and encouraging demeanor, even in challenging situations. You like to create new methods rather than using existing ones. Employment In this recruitment process, GKN Aerospace is partnering with Skill. This is a consultancy assignment, meaning you will initially be employed by Skill, with the opportunity to transition to a permanent position at GKN Aerospace. Selection is ongoing, and the position may be filled before the application deadline. We therefore encourage you to submit your application as soon as possible. If you have any questions about the position, please contact the responsible recruiter, Klara Lundström, at klara.lundstrom@skill.se. The position requires that you undergo and be approved according to the current regulations for security protection. For positions where GKN's customer has requirements for security classification, this may, in some cases, involve specific citizenship requirements.