Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 43 hours ago

Master’s Thesis - Leveraging AI for Simulation Model Development

AFRY AB697 open roles

Where
Göteborg, Västra Götalands län, Sweden
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowMaster’s Thesis - Leveraging AI for Simulation Model DevelopmentAFRY AB · Göteborg, Västra Götalands län, Sweden

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AFRY AB's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. AFRY AB postings stay open a median of 13 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 43 hours ago

AFRY AB median: 13 days open

The posting

Company Description AFRY provides engineering, design, digital and advisory services. We are devoted experts in industry, energy and infrastructure sectors, creating impact for generations to come. AFRY has Nordic roots with a global reach.

Job Description Background Discrete Event Simulation (DES) is widely used to analyze, design, and optimize complex industrial systems. Developing simulation models often requires considerable effort for data preparation, model construction, validation, experimentation, and documentation. Recent advances in Artificial Intelligence (AI) have created new opportunities to support simulation engineers throughout the modeling process. AI-based tools may assist with tasks such as interpreting requirements, generating model structures and components, supporting validation activities, automating repetitive tasks, and improving decision-making. This thesis investigates how AI can be leveraged to improve efficiency, quality, and ease of simulation model development. Objectives The objective of this thesis is to investigate how Artificial Intelligence can support the development of simulation models and improve the productivity of simulation engineers. Specific objectives may include: · Identify simulation development activities that can benefit from AI support. · Evaluate how AI can assist in transforming system requirements into simulation models. · Investigate AI-supported approaches for model creation, verification, and validation. · Explore opportunities to automate repetitive and time-consuming modeling tasks. · Develop and evaluate one or more proof-of-concept solutions for AI-assisted simulation modeling. · Assess the benefits, limitations, and practical applicability of AI-assisted modeling workflows. Methods · Literature Study: Review existing research on AI applications in simulation modeling and engineering. · Modeling Workflow Analysis: Analyze simulation development workflows to identify opportunities for AI support. · Use Case Definition: Define and evaluate AI use cases that support simulation model development and analysis. · Concept Development: Design and prototype AI-assisted capabilities for simulation model development and analysis. · Implementation: Develop one or more proof-of-concept solutions using relevant AI technologies and frameworks. · Evaluation: Evaluate AI-assisted simulation solutions through practical case studies focusing on efficiency, quality, usability, and industrial value. Deliverables The expected deliverables should include well-documented paper and a demonstration for the simulation team, covering the following: · AI-assisted proof-of-concept solution for simulation model development · Demonstration case study · Evaluation of AI's impact on simulation modeling efficiency and quality · Best practices for applying AI in simulation projects · Recommendations for future AI-assisted simulation workflows Research Questions The thesis should address some of the following questions: 1. How can AI support simulation engineers during simulation model development? 2. Which simulation modeling tasks are most suitable for AI assistance? 3. How can AI reduce the time and effort required to build simulation models? 4. Can AI improve model verification, validation, and debugging activities? 5. How can AI support the generation of model logic and simulation scenarios? 6. What limitations and risks exist when using AI to support simulation model development? 7. How does AI-assisted model development compare with traditional development approaches regarding efficiency, quality, and usability? 8. Which AI-enabled capabilities provide the greatest value in industrial simulation projects?

Qualifications We are looking for 2 students with a background in one of the following master’s programs (or similar): · Production engineering · Systems, control and mechatronics · Supply Chain Management We believe that suitable students have completed one or more simulation courses with good grades and possess solid theoretical knowledge, practical experience and a strong interest in production systems and/or production logistics environments. Curiosity about working as a consultant is an advantage. Candidates must be fluent in both Swedish and English.

Additional Information The master’s thesis will be carried out at AFRY’s office in Gothenburg during the spring semester of 2027. Contact information: Niklas Palm, [email protected], Team Leader Simulation, AFRY Supply Chain Management Please remember to attach both students’ CVs to the application. Applications will be reviewed on an ongoing basis, and the application deadline is November 20, 2026. At AFRY, we engineer change in everything we do. Change happens when brave ideas come together. When we collaborate, innovate technology, and embrace challenging points of view. That’s how we're making future. We are actively looking for qualified candidates to join our inclusive and diverse teams across the globe. Join us in accelerating the transition towards a sustainable future.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against AFRY AB's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on AFRY AB's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    AFRY AB's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.