Civilingenjör inom Farkostteknik - Lediga jobb

The Product System Security Engineer ensures the availability, integrity and confidentiality by taking stakeholder expectations in account, implementing security requirements and continuously considering evolving threats of a Giraffe xA system.

You will work closely with product management and engineering to support the integration of information assurance into the product and ongoing development activities.

In this role, you take an initiating and coordinating position, propose improvements, and support the implementation of security related capabilities and processes, with the following overall responsibilities:

• Identify, analyse, and prioritise security related improvement areas within the product
• Act as point of contact (POC) in bid preparation activities within the product unit
• Act as point of contact (POC) for product related information assurance queries
• Participate in general system work to identify, assess, and manage security related issues and risks
• Initiate, coordinate, and support enhancements of security related capabilities
• Collaborate with product management to ensure that security aspects are considered
• Translate stakeholder and customer needs into concrete and actionable improvement proposals
• Evaluate architecture and technical solutions from an information assurance perspective
• Support risk management activities, including identification, analysis, and mitigation of vulnerabilities
• Support engineering teams in implementing secure and compliant solutions
• Follow up on verification, validation, and testing of security functionality
• Contribute to maintaining relevant documentation, traceability, and assurance evidence
• Suggest and drive improvements in processes, methods, and tools related to product security in collaboration with product management and other affected departments

Deliverables and Responsible Activities: The role includes both analytical and coordinating responsibilities, as well as the delivery of documented assurance related results and improvement initiatives.

Key responsibilities and deliverables include:

• Monitoring external developments, including emerging threats, regulatory changes, and evolving industry solutions relevant to the product domain
• Performing product level information assurance analyses and supplying documented assessment results, recommendations, and assurance evidence
• Identifying, analysing, and proposing security improvements related to architecture
• Contributing to the establishment and continuous improvement of risk management frameworks, security processes, and follow-up mechanisms within the product area
• Working across teams to identify and highlight needs related to capability gaps, security improvements, reuse opportunities and modularity
• Supporting bid preparation activities by documenting assumptions, security considerations, identified risks, dependencies, and assurance related constraints
• Following up on security related issues, risks, mitigation activities, and agreed actions to ensure implementation and progress tracking

To fit, and thrive, in this role we see that you have good knowledge of cybersecurity principles and best practices. You also have understanding of product lifecycle management, preferably the Giraffe xA product portfolio. With your experience in secure development and/or system engineering, you collaborate well with internal stakeholders such as engineering and product management.

We also see that you have:

• Experience in secure development and/or system engineering
• Ability to translate stakeholder requirements concerning security into practical improvements
• Experience in risk analysis and vulnerability management
• Understanding of relevant standards and regulatory requirements
• Good communication skills in both technical and non technical contexts

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

Our client is an innovative technology company in Lund that embraces the mindset of "never work alone." Through close collaboration and technical excellence, they are shaping the future of MedTech by developing cutting-edge connected products for leading global customers. Does this sound like an exciting opportunity? Don't hesitate to apply today!

About the role

You will play a pivotal role in designing and testing electronics for sophisticated connected products. Working in-house, you will collaborate with cross-functional teams to transform customer needs into high-quality manufacturable designs.

You are offered

• You will have the opportunity to lead innovative projects for world-leading customers within the Medtech industry.
• Mentoring junior engineers, and grow within a supportive community that values technical excellence and professional fun.
• Collaborate with world-leading customers on cutting-edge product development.

Work tasks

This role involves end-to-end embedded development, from hardware bring-up to high-level application logic for medical devices.

• Develop hardware-near firmware using C and C++
• Design and implement device drivers for various embedded platforms
• Work with Real Time Operating Systems (RTOS) to ensure system performance
• Conduct hardware bring-up and debug systems using oscilloscopes and logic analyzers
• Interpret customer requirements and translate them into technical specifications
• Collaborate with team members to ensure seamless system integration
• Coach and mentor less experienced engineers within the development team

We are looking for

• Engineering degree in Embedded Systems, Electronics, Computer Engineering, or equivalent
• 4+ years of experience in Embedded Software Development
• Advanced knowledge of Embedded C/C++
• Good understanding of Real Time Operating Systems
• Experience in Device Driver Development
• Professional proficiency in spoken and written English

It is meritorious if you have

• Knowledge of medical device software standards such as IEC 62304
• Experience working in regulated environments
• Experience with connectivity protocols like Bluetooth, WiFi, and LTE
• Familiarity with Embedded Linux and Yocto project
• Experience using logic analyzers and oscilloscopes for debugging
• Knowledge of Zephyr or FreeRTOS
• Experience from the MedTech industry

To succeed in the role, your personal skills are:

• Supportive
• Social
• Orderly
• Responsible

Please note: Between mid-July and mid-August, our recruitment team will have reduced staffing. We are accepting applications as usual, but the process and our response times may take longer than usual during this period.

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.

Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

Institutionen för ekologi

Sveriges lantbruksuniversitet (SLU) är en av Nordeuropas största akademiska miljöer för ekologisk forskning och erbjuder en dynamisk och excellent forskningsmiljö med modern infrastruktur. Institutionen för ekologi har cirka 150 anställda, varav omkring 40 arbetar vid Grimsö forskningsstation i Bergslagen. Tillsammans bedriver SLU Ekologicentrum och Grimsö forskningsstation forskning om hållbart jord- och skogsbruk, växtskydd, naturvård och viltförvaltning, och bidrar med vetenskaplig kunskap för att stödja Sveriges och Europas miljöpolitik.

Om jobbet

Projekt

Kan vi förutse utfallen av offentlig politik, politiska val och andra beslut? Vi håller på att ta reda på det genom att utveckla allvarsspel och köra dem med hjälp av AI.

Vi bygger storskaliga simuleringar av samhälleliga processer (miljöförhandlingar, naturvårdspolitik och hybridhotsscenarier) där varje aktör är en autonom AI-agent driven av stora språkmodeller (LLM). Dessa agenter simulerar verkliga intressenter, från regeringsministrar till intressegrupper, och interagerar genom naturligt språk i komplexa strategiska situationer. Vi kör sedan tusentals iterationer för att kartlägga utfallens fördelning.

Denna satsning är en del av det nya forskningsprogrammet Articulating Complexity (https://www.slu.se/articulating-complexity/) som är värd vid Sveriges lantbruksuniversitet (SLU) och leds av Guillaume Chapron (docent). Det finansieras av anslag från Vetenskapsrådet (VR), Stiftelsen för miljöstrategisk forskning (Mistra) och Forskningsrådet för hållbar utveckling (FORMAS).

Vårt mål är att bygga en ny metodik i skärningspunkten mellan AI, ekologi, statsvetenskap och analys av komplexa system som kan förändra hur politik utformas och stresstestas och hur regeringar förbereder sig för kriser. Vi söker ambitiös forskningsingenjör som vill vara med i denna satsning.

Arbetsuppgifter

Du är den person som får simuleringarna att faktiskt fungera. Konkret innebär detta:

• Bygga LLM-agentinfrastrukturen (utifrån en befintlig fungerande implementation). Varje agent har ett flerskiktat minne och ett affekttillstånd som modifierar både prompter och tillgängliga handlingar, samt ett strategiskt resonemangslager som spårar rykte, åtaganden och mentala modeller av andra agenter.
• Vidareutveckla och underhålla det multiagent-baserade simuleringsramverket. En simulering kör dussintals samtidiga LLM-instanser som kommunicerar genom strukturerade meddelandeprotokoll. Du kommer att utveckla och underhålla detta ramverk, inklusive valideringsmetodiken.
• Köra storskaliga Monte Carlo-simuleringar i skala på GPU-aktiverade HPC-kluster (t.ex. NAISS).
• Publicering och spridning av projektets resultat. Du kommer att samförfatta vetenskapliga publikationer från projektet. Forskningen kommer att producera artiklar i skärningspunkten mellan beräkningssamhällsvetenskap, ekologi, säkerhetsstudier och AI.

Du kommer att arbeta nära PI:n (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/) och en postdoktor i beräkningssamhällsvetenskap (som rekryteras samtidigt). Ni tre kommer att utgöra kärnteamet.

Din bakgrund 

Krav

• En examen i datavetenskap, teknik, fysik, tillämpad matematik eller ett närliggande kvantitativt fält. En master- eller civilingenjörsexamen är tillräcklig; en doktorsexamen är välkommen men inte ett krav.
• Starka programmeringskunskaper, särskilt i Python, och tillräcklig förståelse för maskininlärning/djupinlärning för att arbeta effektivt med moderna generativa AI-system. Förmåga att bedöma och integrera banbrytande generativa AI-utvecklingar i projektet.
• Erfarenhet av mjukvaruutvecklingspraxis såsom versionshantering, testning, dokumentation, modulär design och reproducerbara arbetsflöden.
• Förmåga att arbeta självständigt, felsöka komplexa system under tidspress och ta ägandeskap över teknisk infrastruktur.

Meriterande

• Erfarenhet av LLM:er, inklusive programmatisk användning via API:er och lokal deployment. Kandidaten bör kunna välja, konfigurera, anpassa och kritiskt utvärdera LLM:er för forskningsapplikationer.
• Erfarenhet av djup förstärkningsinlärning, agentbaserad modellering eller multiagentsystem, inklusive design av simuleringsmiljöer, interagerande agenter, beslutsregler, återkopplingsmekanismer och scenariobaserade analyser.
• Erfarenhet av högpresterande beräkningar: batchjobshantering, GPU-arbetsflöden och hantering av storskaliga beräkningsexperiment.
• Intresse för tillämpningsdomänen: naturvård, miljöpolitik, statsvetenskap, geopolitik och säkerhetsstudier, komplexa adaptiva system. Du behöver inte ha formell bakgrund inom dessa fält, men du bör finna dem intressanta.

Bedömningskriterier

Ansökningar bedöms utifrån följande:

• Demonstrerad teknisk förmåga. Vi bryr oss mer om vad du har byggt än om vilka kurser du har gått. En GitHub-portfölj, ett driftsatt system, ett väldokumenterat sidoprojekt eller meriter av att lösa svåra AI-problem väger tyngre än en lista med meriter.
• Självständighet och uppfinningsrikedom. Detta är ett litet team som bedriver banbrytande forskning, och rollen kräver någon som kan diagnostisera problem självständigt, fatta pragmatiska tekniska beslut och hålla komplexa system igång. Om detta lockar snarare än oroar dig är detta rätt tjänst.
• Samarbetsförmåga. Du kommer dagligen att arbeta med frågor från mycket olika discipliner: ekologi, statsvetenskap, geopolitik. Förmågan att kommunicera tekniska begränsningar och möjligheter till icke-tekniska samarbetspartners är väsentlig. Interpersonella färdigheter kommer att utgöra en viktig del av bedömningen.

Placering:

Tjänsten är placerad antingen vid Grimsö eller i Uppsala, med möjlighet att delvis vara baserad vid en annan svensk akademisk institution med kärnkompetens inom AI och maskininlärning.

Anställningsform:

Tidsbegränsad anställning 12 månader med ev. möjlighet till förlängning. 

Omfattning:

100%.

Tillträde:

Enligt överenskommelse, så snart som möjligt efter rekrytering. 

Ansökan:

Ansökan ska innehålla (1) ett personligt brev med motivering till varför du söker tjänsten (max 3 sidor), (2) CV inklusive en fullständig publikationslista om sådan finns, (3) kopior av examensbevis, (4) kopia av pass om sökanden inte är svensk medborgare, (5) en lista med minst två referenspersoner och deras kontaktuppgifter, och (6) eventuellt arbete som kandidaten anser vara relevant för tjänsten.

Välkommen med din ansökan via ansökningsknappen nedan senast 2026-07-14.

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

Applications will be assessed on the following:

• 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.

Location:

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.

Form of employment: 

Fixed-term employment 12 months with the possibility of prolongation. 

Scope:

100%.

Start date:

As agreed, as soon as possible after recruitment. 

Application:

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.

The Product System Security Engineer ensures the availability, integrity and confidentiality by taking stakeholder expectations in account, implementing security requirements and continuously considering evolving threats of a Giraffe xA system.

You will work closely with product management and engineering to support the integration of information assurance into the product and ongoing development activities.

In this role, you take an initiating and coordinating position, propose improvements, and support the implementation of security related capabilities and processes, with the following overall responsibilities:

• Identify, analyse, and prioritise security related improvement areas within the product
• Act as point of contact (POC) in bid preparation activities within the product unit
• Act as point of contact (POC) for product related information assurance queries
• Participate in general system work to identify, assess, and manage security related issues and risks
• Initiate, coordinate, and support enhancements of security related capabilities
• Collaborate with product management to ensure that security aspects are considered
• Translate stakeholder and customer needs into concrete and actionable improvement proposals
• Evaluate architecture and technical solutions from an information assurance perspective
• Support risk management activities, including identification, analysis, and mitigation of vulnerabilities
• Support engineering teams in implementing secure and compliant solutions
• Follow up on verification, validation, and testing of security functionality
• Contribute to maintaining relevant documentation, traceability, and assurance evidence
• Suggest and drive improvements in processes, methods, and tools related to product security in collaboration with product management and other affected departments

Deliverables and Responsible Activities: The role includes both analytical and coordinating responsibilities, as well as the delivery of documented assurance related results and improvement initiatives.

Key responsibilities and deliverables include:

• Monitoring external developments, including emerging threats, regulatory changes, and evolving industry solutions relevant to the product domain
• Performing product level information assurance analyses and supplying documented assessment results, recommendations, and assurance evidence
• Identifying, analysing, and proposing security improvements related to architecture
• Contributing to the establishment and continuous improvement of risk management frameworks, security processes, and follow-up mechanisms within the product area
• Working across teams to identify and highlight needs related to capability gaps, security improvements, reuse opportunities and modularity
• Supporting bid preparation activities by documenting assumptions, security considerations, identified risks, dependencies, and assurance related constraints
• Following up on security related issues, risks, mitigation activities, and agreed actions to ensure implementation and progress tracking

To fit, and thrive, in this role we see that you have good knowledge of cybersecurity principles and best practices. You also have understanding of product lifecycle management, preferably the Giraffe xA product portfolio. With your experience in secure development and/or system engineering, you collaborate well with internal stakeholders such as engineering and product management.

We also see that you have:

• Experience in secure development and/or system engineering
• Ability to translate stakeholder requirements concerning security into practical improvements
• Experience in risk analysis and vulnerability management
• Understanding of relevant standards and regulatory requirements
• Good communication skills in both technical and non technical contexts

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

Our client is an innovative technology company in Lund that embraces the mindset of "never work alone." Through close collaboration and technical excellence, they are shaping the future of MedTech by developing cutting-edge connected products for leading global customers. Does this sound like an exciting opportunity? Don't hesitate to apply today!

About the role

You will play a pivotal role in designing and testing electronics for sophisticated connected products. Working in-house, you will collaborate with cross-functional teams to transform customer needs into high-quality manufacturable designs.

You are offered

• You will have the opportunity to lead innovative projects for world-leading customers within the Medtech industry.
• Mentoring junior engineers, and grow within a supportive community that values technical excellence and professional fun.
• Collaborate with world-leading customers on cutting-edge product development.

Work tasks

This role involves end-to-end embedded development, from hardware bring-up to high-level application logic for medical devices.

• Develop hardware-near firmware using C and C++
• Design and implement device drivers for various embedded platforms
• Work with Real Time Operating Systems (RTOS) to ensure system performance
• Conduct hardware bring-up and debug systems using oscilloscopes and logic analyzers
• Interpret customer requirements and translate them into technical specifications
• Collaborate with team members to ensure seamless system integration
• Coach and mentor less experienced engineers within the development team

We are looking for

• Engineering degree in Embedded Systems, Electronics, Computer Engineering, or equivalent
• 4+ years of experience in Embedded Software Development
• Advanced knowledge of Embedded C/C++
• Good understanding of Real Time Operating Systems
• Experience in Device Driver Development
• Professional proficiency in spoken and written English

It is meritorious if you have

• Knowledge of medical device software standards such as IEC 62304
• Experience working in regulated environments
• Experience with connectivity protocols like Bluetooth, WiFi, and LTE
• Familiarity with Embedded Linux and Yocto project
• Experience using logic analyzers and oscilloscopes for debugging
• Knowledge of Zephyr or FreeRTOS
• Experience from the MedTech industry

To succeed in the role, your personal skills are:

• Supportive
• Social
• Orderly
• Responsible

Please note: Between mid-July and mid-August, our recruitment team will have reduced staffing. We are accepting applications as usual, but the process and our response times may take longer than usual during this period.

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.

Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

Institutionen för ekologi

Sveriges lantbruksuniversitet (SLU) är en av Nordeuropas största akademiska miljöer för ekologisk forskning och erbjuder en dynamisk och excellent forskningsmiljö med modern infrastruktur. Institutionen för ekologi har cirka 150 anställda, varav omkring 40 arbetar vid Grimsö forskningsstation i Bergslagen. Tillsammans bedriver SLU Ekologicentrum och Grimsö forskningsstation forskning om hållbart jord- och skogsbruk, växtskydd, naturvård och viltförvaltning, och bidrar med vetenskaplig kunskap för att stödja Sveriges och Europas miljöpolitik.

Om jobbet

Projekt

Kan vi förutse utfallen av offentlig politik, politiska val och andra beslut? Vi håller på att ta reda på det genom att utveckla allvarsspel och köra dem med hjälp av AI.

Vi bygger storskaliga simuleringar av samhälleliga processer (miljöförhandlingar, naturvårdspolitik och hybridhotsscenarier) där varje aktör är en autonom AI-agent driven av stora språkmodeller (LLM). Dessa agenter simulerar verkliga intressenter, från regeringsministrar till intressegrupper, och interagerar genom naturligt språk i komplexa strategiska situationer. Vi kör sedan tusentals iterationer för att kartlägga utfallens fördelning.

Denna satsning är en del av det nya forskningsprogrammet Articulating Complexity (https://www.slu.se/articulating-complexity/) som är värd vid Sveriges lantbruksuniversitet (SLU) och leds av Guillaume Chapron (docent). Det finansieras av anslag från Vetenskapsrådet (VR), Stiftelsen för miljöstrategisk forskning (Mistra) och Forskningsrådet för hållbar utveckling (FORMAS).

Vårt mål är att bygga en ny metodik i skärningspunkten mellan AI, ekologi, statsvetenskap och analys av komplexa system som kan förändra hur politik utformas och stresstestas och hur regeringar förbereder sig för kriser. Vi söker ambitiös forskningsingenjör som vill vara med i denna satsning.

Arbetsuppgifter

Du är den person som får simuleringarna att faktiskt fungera. Konkret innebär detta:

• Bygga LLM-agentinfrastrukturen (utifrån en befintlig fungerande implementation). Varje agent har ett flerskiktat minne och ett affekttillstånd som modifierar både prompter och tillgängliga handlingar, samt ett strategiskt resonemangslager som spårar rykte, åtaganden och mentala modeller av andra agenter.
• Vidareutveckla och underhålla det multiagent-baserade simuleringsramverket. En simulering kör dussintals samtidiga LLM-instanser som kommunicerar genom strukturerade meddelandeprotokoll. Du kommer att utveckla och underhålla detta ramverk, inklusive valideringsmetodiken.
• Köra storskaliga Monte Carlo-simuleringar i skala på GPU-aktiverade HPC-kluster (t.ex. NAISS).
• Publicering och spridning av projektets resultat. Du kommer att samförfatta vetenskapliga publikationer från projektet. Forskningen kommer att producera artiklar i skärningspunkten mellan beräkningssamhällsvetenskap, ekologi, säkerhetsstudier och AI.

Du kommer att arbeta nära PI:n (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/) och en postdoktor i beräkningssamhällsvetenskap (som rekryteras samtidigt). Ni tre kommer att utgöra kärnteamet.

Din bakgrund 

Krav

• En examen i datavetenskap, teknik, fysik, tillämpad matematik eller ett närliggande kvantitativt fält. En master- eller civilingenjörsexamen är tillräcklig; en doktorsexamen är välkommen men inte ett krav.
• Starka programmeringskunskaper, särskilt i Python, och tillräcklig förståelse för maskininlärning/djupinlärning för att arbeta effektivt med moderna generativa AI-system. Förmåga att bedöma och integrera banbrytande generativa AI-utvecklingar i projektet.
• Erfarenhet av mjukvaruutvecklingspraxis såsom versionshantering, testning, dokumentation, modulär design och reproducerbara arbetsflöden.
• Förmåga att arbeta självständigt, felsöka komplexa system under tidspress och ta ägandeskap över teknisk infrastruktur.

Meriterande

• Erfarenhet av LLM:er, inklusive programmatisk användning via API:er och lokal deployment. Kandidaten bör kunna välja, konfigurera, anpassa och kritiskt utvärdera LLM:er för forskningsapplikationer.
• Erfarenhet av djup förstärkningsinlärning, agentbaserad modellering eller multiagentsystem, inklusive design av simuleringsmiljöer, interagerande agenter, beslutsregler, återkopplingsmekanismer och scenariobaserade analyser.
• Erfarenhet av högpresterande beräkningar: batchjobshantering, GPU-arbetsflöden och hantering av storskaliga beräkningsexperiment.
• Intresse för tillämpningsdomänen: naturvård, miljöpolitik, statsvetenskap, geopolitik och säkerhetsstudier, komplexa adaptiva system. Du behöver inte ha formell bakgrund inom dessa fält, men du bör finna dem intressanta.

Bedömningskriterier

Ansökningar bedöms utifrån följande:

• Demonstrerad teknisk förmåga. Vi bryr oss mer om vad du har byggt än om vilka kurser du har gått. En GitHub-portfölj, ett driftsatt system, ett väldokumenterat sidoprojekt eller meriter av att lösa svåra AI-problem väger tyngre än en lista med meriter.
• Självständighet och uppfinningsrikedom. Detta är ett litet team som bedriver banbrytande forskning, och rollen kräver någon som kan diagnostisera problem självständigt, fatta pragmatiska tekniska beslut och hålla komplexa system igång. Om detta lockar snarare än oroar dig är detta rätt tjänst.
• Samarbetsförmåga. Du kommer dagligen att arbeta med frågor från mycket olika discipliner: ekologi, statsvetenskap, geopolitik. Förmågan att kommunicera tekniska begränsningar och möjligheter till icke-tekniska samarbetspartners är väsentlig. Interpersonella färdigheter kommer att utgöra en viktig del av bedömningen.

Placering:

Tjänsten är placerad antingen vid Grimsö eller i Uppsala, med möjlighet att delvis vara baserad vid en annan svensk akademisk institution med kärnkompetens inom AI och maskininlärning.

Anställningsform:

Tidsbegränsad anställning 12 månader med ev. möjlighet till förlängning. 

Omfattning:

100%.

Tillträde:

Enligt överenskommelse, så snart som möjligt efter rekrytering. 

Ansökan:

Ansökan ska innehålla (1) ett personligt brev med motivering till varför du söker tjänsten (max 3 sidor), (2) CV inklusive en fullständig publikationslista om sådan finns, (3) kopior av examensbevis, (4) kopia av pass om sökanden inte är svensk medborgare, (5) en lista med minst två referenspersoner och deras kontaktuppgifter, och (6) eventuellt arbete som kandidaten anser vara relevant för tjänsten.

Välkommen med din ansökan via ansökningsknappen nedan senast 2026-07-14.

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

Applications will be assessed on the following:

• 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.

Location:

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.

Form of employment: 

Fixed-term employment 12 months with the possibility of prolongation. 

Scope:

100%.

Start date:

As agreed, as soon as possible after recruitment. 

Application:

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.

Ericsson AB

About this opportunityWe are looking for a passionate Digital Algorithm Developer to join our cutting-edge Algorithms team in Lund. In this role, you will contribute to the development of current and next-generation radio solutions by designing advanced algorithms and bringing them to life through efficient hardware implementations. If you are a recent graduate with a strong technical foundation, eager to learn and solve real-world engineering problems, and excited about applying theory to practice in a collaborative team, this is a great opportunity. You’ll thrive here if you enjoy working in teams, are proactive, and want to grow by working at the intersection of signal processing, hardware design, and emerging AI/ML techniques for real-time communication systems. You’ll be part of a highly collaborative and agile environment working across global teams, where innovation, ownership, and continuous learning are encouraged. What you will do•    Contribute to early studies and concept development for current and future radio solutions. •    Design, develop, and optimize digital signal processing (DSP) algorithms. •    Build and maintain behavioural models and simulation frameworks. •    Support development of end-to-end system simulations to evaluate algorithm performance under real-world conditions. •    Build and configure integrated lab setups, combining hardware and software components. •    Execute performance evaluations, measurements, and validation activities. •    Collaborate with cross-functional teams across algorithm, ASIC/FPGA, and system domains.The skills you bring•    MS in Electrical Engineering, Mathematics, Signal Processing, System on Chip, Artificial Intelligence/Machine Learning or related field. •    Solid grounding in the field of Mathematics, optimization, statistics, or adaptive algorithms. •    Good knowledge of Digital Signal Processing concepts and implementation techniques. •    Knowledge of algorithm design, simulator building and behavioural modelling languages such as Matlab, Simulink, Python, or C/C++. •    Understanding of ASIC/FPGA design flows and hardware-aware algorithm design. •    Experience in RTL implementation of designed algorithms and HDL languages such as VHDL, Verilog or System Verilog. •    Knowledge of Artificial Intelligence/Machine Learning. •    Knowledge of telecommunication systems and RF (radio frequency) fundamentals. •    Experience working with lab equipment, including signal analysers, signal generators, and power supplies. •    Additional experience with AI/ML techniques applied to signal processing or communications, High-Level Synthesis (HLS) tools, digital/analog/mixed-signal IC design, and power amplifier technologies or FPGA prototyping platforms is a plus but not required.

Ericsson AB

About this opportunityWe are looking for a passionate Digital Algorithm Developer to join our cutting-edge Algorithms team in Lund. In this role, you will contribute to the development of current and next-generation radio solutions by designing advanced algorithms and bringing them to life through efficient hardware implementations. If you are a recent graduate with a strong technical foundation, eager to learn and solve real-world engineering problems, and excited about applying theory to practice in a collaborative team, this is a great opportunity. You’ll thrive here if you enjoy working in teams, are proactive, and want to grow by working at the intersection of signal processing, hardware design, and emerging AI/ML techniques for real-time communication systems. You’ll be part of a highly collaborative and agile environment working across global teams, where innovation, ownership, and continuous learning are encouraged. What you will do•    Contribute to early studies and concept development for current and future radio solutions. •    Design, develop, and optimize digital signal processing (DSP) algorithms. •    Build and maintain behavioural models and simulation frameworks. •    Support development of end-to-end system simulations to evaluate algorithm performance under real-world conditions. •    Build and configure integrated lab setups, combining hardware and software components. •    Execute performance evaluations, measurements, and validation activities. •    Collaborate with cross-functional teams across algorithm, ASIC/FPGA, and system domains.The skills you bring•    MS in Electrical Engineering, Mathematics, Signal Processing, System on Chip, Artificial Intelligence/Machine Learning or related field. •    Solid grounding in the field of Mathematics, optimization, statistics, or adaptive algorithms. •    Good knowledge of Digital Signal Processing concepts and implementation techniques. •    Knowledge of algorithm design, simulator building and behavioural modelling languages such as Matlab, Simulink, Python, or C/C++. •    Understanding of ASIC/FPGA design flows and hardware-aware algorithm design. •    Experience in RTL implementation of designed algorithms and HDL languages such as VHDL, Verilog or System Verilog. •    Knowledge of Artificial Intelligence/Machine Learning. •    Knowledge of telecommunication systems and RF (radio frequency) fundamentals. •    Experience working with lab equipment, including signal analysers, signal generators, and power supplies. •    Additional experience with AI/ML techniques applied to signal processing or communications, High-Level Synthesis (HLS) tools, digital/analog/mixed-signal IC design, and power amplifier technologies or FPGA prototyping platforms is a plus but not required.