We’re looking for a master’s student eager to explore the frontier of transformer-based time series modeling. At Predli, you’ll join a small, innovative team applying the latest advances in AI to real-world problems. Your thesis will contribute to our research and product development around Predli Studio, exploring how large language models can enhance forecasting and temporal understanding across domains.
If you’re curious about generative AI and love bridging theory with practical impact, this could be your opportunity to shape what’s next.
Predli is an AI company focused on transforming how organizations use artificial intelligence in the real world. We combine strategy, engineering, and research to help businesses, from startups to global enterprises, design and deploy AI systems that solve meaningful problems.
Our platform, Predli Studio, enables teams to create and manage their own AI solutions with flexibility and control. It’s also the foundation for many of our internal innovation projects and research explorations, making it an ideal environment for thesis work that connects theory with practice.
We’re a small, global team based in Stockholm (Waterfront Building), with colleagues in Delhi and Nice. You’ll work closely with experienced engineers and researchers, have a real voice in what you create, and see the impact of your work first-hand.
We’re looking for a master’s student eager to explore the intersection of large language models and time series forecasting.
This thesis will investigate how transformer-based architectures, such as TimeGPT-2, can be adapted and benchmarked for complex temporal modeling tasks - focusing on predictive performance, scalability, and generalization across domains.
You’ll work closely with our engineers and researchers to apply your findings in practice and explore how transformer-based time series modeling could enhance real-world AI solutions within Predli Studio. Depending on your interests, the thesis can be more research-oriented, implementation-focused, or a mix of both.
At Predli, curiosity and openness are at the core of how we work. We collaborate closely across disciplines, research, engineering, and strategy, sharing ideas, testing new approaches, and learning from each other every day. Because we’re a small and ambitious team, your voice will be heard, your work will matter, and your ideas will have real impact.
Send us a short description of your thesis idea or area of interest, along with your CV and contact information. If you don’t have a defined topic yet, that’s perfectly fine - we’ll explore potential directions together.
We’re looking for a master’s student eager to explore the frontier of transformer-based time series modeling. At Predli, you’ll join a small, innovative team applying the latest advances in AI to real-world problems. Your thesis will contribute to our research and product development around Predli Studio, exploring how large language models can enhance forecasting and temporal understanding across domains.
If you’re curious about generative AI and love bridging theory with practical impact, this could be your opportunity to shape what’s next.
Predli is an AI company focused on transforming how organizations use artificial intelligence in the real world. We combine strategy, engineering, and research to help businesses, from startups to global enterprises, design and deploy AI systems that solve meaningful problems.
Our platform, Predli Studio, enables teams to create and manage their own AI solutions with flexibility and control. It’s also the foundation for many of our internal innovation projects and research explorations, making it an ideal environment for thesis work that connects theory with practice.
We’re a small, global team based in Stockholm (Waterfront Building), with colleagues in Delhi and Nice. You’ll work closely with experienced engineers and researchers, have a real voice in what you create, and see the impact of your work first-hand.
We’re looking for a master’s student eager to explore the intersection of large language models and time series forecasting.
This thesis will investigate how transformer-based architectures, such as TimeGPT-2, can be adapted and benchmarked for complex temporal modeling tasks - focusing on predictive performance, scalability, and generalization across domains.
You’ll work closely with our engineers and researchers to apply your findings in practice and explore how transformer-based time series modeling could enhance real-world AI solutions within Predli Studio. Depending on your interests, the thesis can be more research-oriented, implementation-focused, or a mix of both.
At Predli, curiosity and openness are at the core of how we work. We collaborate closely across disciplines, research, engineering, and strategy, sharing ideas, testing new approaches, and learning from each other every day. Because we’re a small and ambitious team, your voice will be heard, your work will matter, and your ideas will have real impact.
Send us a short description of your thesis idea or area of interest, along with your CV and contact information. If you don’t have a defined topic yet, that’s perfectly fine - we’ll explore potential directions together.
