Lediga jobb som Forskare, IT i Sundsvall

Job ID: 3090
Welcome to Group Technology, where we pride ourselves on engineering solutions that directly impact Nordea's 2030 goals to modernize data technology and accelerate AI.
We're looking for a collaborative Expert Data Scientist with strong technical expertise to join our AI Delivery team at Nordea. You'll design and build scalable AI solutions with integrated directly in our service area/service domain model.
Nordea is a place where traditions meet tomorrow. We're not just a bank, we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people's daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.
This position is a full-time, permanent role with hybrid working location based in Helsinki, Finland, Gdansk / Gdynia / Warsaw, Poland, Copenhagen, Denmark, or Stockholm, Sweden.
About our team
Meet the AI Delivery team. We're a collaborative and result-driven team working closely with every part of the bank to execute AI use cases. Our deep connections throughout Nordea and trusted reputation enable us to transform ambitious AI visions into practical, impactful solutions.
In this role, you'll be embedded with the business areas, building strong partnerships and gaining deep domain expertise. This collaboration creates natural pathways for future career development, including potential transitions into business teams where your AI expertise will be highly valued.
What you’ll be doing
Main responsibilities in this role include, but are not limited to:
Design, develop, and scale transformative AI applications from concept to production to create technology that makes a real impact
Build AI applications that solve meaningful problems, partnering with cross-functional teams throughout the development lifecycle
Explore emerging AI tools and frameworks; share insights and build proof-of-concepts to drive AI execution
Partner with engineers and product teams to translate business needs into practical AI solutions
Develop and implement advanced machine learning models and algorithms for various business applications

Who you are
You'll thrive in this role if you're excited to build AI solutions that solve real-world problems and drive meaningful change. You bring a growth mindset, collaborative problem-solving skills and strong communication abilities.
We are looking for multiple people with various levels of experience and skills, qualifying for most of the following requirements:
BSc, MSc or PhD in Computer Science, Engineering Physics, Data Science, Statistics, or equivalent practical experience
Minimum 3 years of hands-on experience developing and deploying AI/ML solutions in production environments, with 5+ years required for senior-level positions
Strong software engineering fundamentals with proficiency in Python and experience building scalable, maintainable codebases
Hands-on experience with AI/ML frameworks and libraries, with the ability to implement and optimize models for production use
Basic experience with cloud platforms (AWS, Azure or GCP), particularly AI/ML and data services
Less senior: Excellent collaboration skills and experience working with diverse teams including data scientists, engineers, and product stakeholders
More senior: Experience leading cross-functional collaboration with data scientists, software engineers, and product teams to translate complex business requirements into practical AI solutions

It would be ideal if you also have:
Deep interest in or experience with Generative AI and Machine Learning technologies
Bring experience from agile environments or tech-driven transformation projects
Familiarity with agent development frameworks such as AutoGen, CrewAI, LangGraph or similar and multi-agent system coordination
Knowledge of agent testing methodologies, performance monitoring and maintaining agent reliability in production environments
Have professional experience from working in regulated industries, i.e. Banking, Government, etc.

We encourage applications from candidates who are passionate about AI and meet most of these criteria. We value diverse perspectives and welcome applicants from all backgrounds.
If this sounds like you, get in touch!
Next steps
We kindly ask you to submit your application as soon as possible, but no later than 12/04/2026. Any applications or CVs sent by email, direct messages, or any other channel than our application forms, will not be accepted or considered.
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics, and traits make us better at serving our customers and communities.
If you have any questions about our recruitment process, please reach out to our tech recruiter and main point of contact [email protected].
For candidates in Sweden: For union information, please contact [email protected] or [email protected]. Visa mindre

About the role 
We offer a PhD position in measurement technology focused on condition monitoring using multimodal sensor systems for anomaly detection and classification with machine learning.

The research for the service is carried out in close collaboration with national and international partners.

The focus of the position is in the area of anomaly detection and classification with machine learning.  The service may also include implementation aspects of machine learning models on edge devices. Work can be experimental and theoretical in nature and includes data collection, development and verification of models, and generalization of solutions.

Basic eligibility is for those who have completed an advanced level degree or completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level or have acquired essentially equivalent knowledge in some other way within or outside the country. Those who have at least 90 higher education credits in electrical engineering, computer engineering subjects closely related to these, or who have acquired substantially equivalent knowledge in any other way within or outside the country, have special eligibility.

Who are you?
In addition to the formal eligibility requirements, the selection will also be based on the relevance of prior knowledge for working with sensor technology and machine learning, relevance in thesis work, project work, courses and interviews with the applicants. Signal processing, use multimodal sensor system and experience with various machine learning models are seen as an advantage.  Personal qualities such as cooperativeness, initiative and suitability for doctoral studies will be weighed against formal subject knowledge. A brief description of the applicant's visions and goals must be included in the application.

The doctoral position refers to a position that primarily corresponds to four years of full-time studies and is expected to lead to a doctoral degree. Access by agreement. Place of employment is Sundsvall.

Are we right for each other?
At RISE, we value diversity and believe that it contributes to an innovative environment where we challenge boundaries and develop new knowledge for the future. We bring together passionate problem solvers to tackle some of the world's most important and exciting challenges. We can't promise you an easy job, but what we can promise is a group of dedicated colleagues and some truly fascinating societal and industrial challenges to address. You will work in an innovative environment that provides opportunities for both professional and personal development. At RISE, you have the opportunity to make a real difference. Welcome to Sweden's national research institute and innovation partner.

Welcome with your application!
Welcome to contact recruiting manager Peter Söderman, +46 10 228 42 99 or Ulf Jennehag, +46 10 228 42 10. The application deadline is 2024-03-06. Interviews will take place continuously during the application period.

Our union representatives are Bertil Svensson, Unionen 010-516 53 56 and Ulf Nordberg, Swedish Engineers 010-516 69 59. Visa mindre

About us At RISE, we are dedicated to conducting research and innovation that addresses some of the most pressing challenges of our time. As Sweden’s research and innovation partner, we combine industry collaboration with cutting-edge research to drive technological advancement. We work at the intersection of academia, industry, and society to shape the sustainable solutions of tomorrow.
You will be part of the Applied Digitalization group, which is part of the Department of Industrial Systems. We are a dedicated team of about 22 people engaged in research, testing, and coordination in applied digitalization.
Your role We seek a highly motivated PhD candidate to join an exciting research collaboration at the Industrial Systems Department at RISE Research Institutes of Sweden, as part of the GEMINI project, funded by the Swedish Foundation for Strategic Research (SSF) through the Research Institute PhD Grant. The selected candidate will be employed and primarily based at RISE, while being formally enrolled as a PhD student at the Department of Computer and Electrical Engineering (DET), Mid Sweden University, Sundsvall, Sweden.
The PhD student will conduct the research within an active, interdisciplinary environment and can collaborate with leading international universities and Swedish companies. The PhD research under GEMINI aims to develop innovative mobile intelligence solutions for next-generation 6G networks, focusing on building adaptive, trustworthy, and explainable AI-driven systems for real-time mobile communications.
Who Are You? We are looking for a highly motivated candidate with:
A Master's degree (or equivalent) in Computer Science and Engineering, Electrical Engineering, Telecommunications, or a related discipline.
Strong knowledge of wireless and mobile communication networks, AI/ML, stochastic processes, and optimization techniques.
Proficiency in programming languages such as Python and hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
A strong interest in 5G/6G technology, edge intelligence, and ethical, explainable AI systems.
Experience in one or more of the following domains is highly desirable: software-defined radio (SDR) platforms, AIOps (Artificial Intelligence for IT Operations), advanced signal processing, real-time embedded systems, teleoperation frameworks, or edge intelligence technologies.
As a candidate for this PhD position, you are driven by curiosity and passionate about the PhD focus area. You like challenges and are committed to delivering high quality research. Taking any initiative comes naturally for you, and you are also good at problem solving.

Do you want to know more or apply? Contact Dr. Nishat I Mowla ([email protected]). In RISE's recruitment processes, we do not request a cover letter. Instead, we ask you to answer a set of questions that help us better understand your skills and experience in relation to the advertised position. But these should be uploaded:
Attach CV
Attach Transcript of records
Certificates
Others
Code sample (optional)

Early applications are encouraged, and interviews will be conducted as applications are received. Application Deadline: June 30, 2025.
Our union representatives are Ingemar Petermann, SACO, +46 10 228 41 22 and Linda Ikatti, Unionen, +46 10 516 51 61.
Duration: 4 years (Full-time engagement)
Start Date: By September 2025
Scope: PhD Program (full-time)
Location: RISE Industrial Systems, Sundsvall, Sweden. Visa mindre

Vid institutionen för data- och elektroteknik bedrivs utbildning inom ämnena datateknik, elektronik, elektroteknik och ljudproduktion. Forskningen på institutionen sker vid forskningscentret Sensible Things that Communicate (www.miun.se/stc) och handlar om sensorbaserade system och tjänster för användning inom Internet of Things och artificiell intelligens.



Forskningscentret STC utannonserar en ledig postdoktoral tjänst inom experimentell forskning för att designa end-to-end anslutningsinfrastruktur för att stödja fjärrstyrda tidskritiska applikationer över trådlösa 5G-nätverk.

Forskningsuppgiften är en del av projektet robust trådlös infrastruktur för fjärrstyrd timmerlastning i samarbete med Ericsson, Telia och Volvo. STC söker kontinuerligt efter att anställa mycket motiverade och framstående forskare för att arbeta med att möjliggöra teknologier för nästa generations trådlösa kommunikationsnätverk.

Forskningen kommer att bedrivas inom forskargruppen Kommunikationssystem och nätverk (CSN), som är specialiserad på undervisning, forskning och innovation inom området trådlös och trådbunden kommunikation och nätverksteknologier, speciellt för industriella applikationer. CSN gruppen har en dynamisk och internationell miljö, som syftar till att producera akademisk forskning på hög nivå samtidigt som man upprätthåller ett tätt samspel med relevanta industriella partners. Den sökande ska aktivt samarbeta med andra forskare inom forskargruppen, på STC-forskningscentret, men även med våra externa partner inom den akademiska och industriella världen.

Arbetsuppgifter
Tjänsten är avsedd för lovande forskare med drivkraften att flytta kunskapsgränserna inom området avancerade trådlösa nätverk mot 6G, med särskild tonvikt på ett (eller flera) av följande områden: maskininlärning för intelligenta trådlösa nätverk, spektrumhantering, decentraliserat lärande, tidskritiska nätverk, grön (energieffektiv) kommunikation och lärande. Arbetsuppgifterna inkluderar teoretisk modellering och analys, algoritmdesign och validering via simuleringar men helst genom HW/SW-prototyper (SDR, OpenAirInterface, srsLTE, etc.), nätverksmätningar och analys, effektiv radioresursallokering, och att skriva vetenskapliga artiklar i erkända tidskrifter och konferenser. Anställningen kan också innefatta undervisning och andra administrativa uppgifter, såsom stöd till projektledning och skriva nya forskningsförslag för att locka industriella, nationella och europeiska projekt, men inte mer än 20% av arbetstiden.

Behörighet
Den som ska anställas som postdoktor ska vara behörig enligt de krav som beskrivs i https://www.miun.se/anstallningsordning, det vill säga fil. dr. eller likvärdig utländsk examen, och denna ska ha erhållits högst tre år innan ansökningsdatum (sjukfrånvaro och föräldraledighet räknas dock bort från denna treårsperiod). 

För denna tjänst krävs en fil. dr i signalbehandling, datorteknik, trådlös kommunikation eller ett närliggande ämne.

Bedömningsgrunder
Den sökande som ges tjänsten måste ha en enastående meritlista av publikationer i topptidskrifter inom ett eller flera av forskargruppens forskningsområden och visat på självständighet och spetskompetens inom forskning. Den idealiska kandidaten för tjänsten bör ha en gedigen bakgrund inom minst två av följande områden:

• Experimentell trådlös forskning (testbäddar och/eller kanal/nätverksmätningar)

• Trådlösa kommunikationssystem, speciellt inom fysiska lagret och medium access-protokoll

• Tekniker för radioåtkomstnätverk (RAN) och nätverksdelning

Vidare krävs goda färdigheter inom något eller några av språken Matlab, C++ och Python samt gärna även erfarenhet av SDR och verktyg för nätverksanalys. Goda kunskaper i engelska, i tal och skrift, krävs för att kommunicera, presentera och publicera forskningsresultat.

Personliga egenskaper
Den sökande som ges tjänsten ska vara kapabel att självständigt bedriva forskning inom tidigare nämnda områden och bör kombinera god analytisk förmåga med en bra attityd till praktiskt genomförande samt intresse att samarbeta med forskarstuderande.

Handläggning
Anställningen bereds i enlighet med https://www.miun.se/anstallningsordning.

Anställning och tillträde
Anställningen omfattar 100% under 2 år med start 2023-05-01 eller enligt överenskommelse.

Anställningsvillkoren regleras i https://www.miun.se/anstallningsordning och https://www.miun.se/globalassets/styrdokument/administration-stod-och-service/personal/anstalla-personal/regel/avtal-om-tidsbegransad-anstallning-som-postdoktor-2021-11-19.pdf

Information
Närmare upplysningar lämnas av forskningsledare Mikael Gidlund, [email protected], eller prefekt?Patrik Österberg, [email protected], tel. 010-1428614.

Ansökan
Ansökningshandlingar ska vara på svenska eller engelska.

• En motiverad text som beskriver varför ansökan görs, kvalifikationer i relation till tjänsten och avsikter och visioner för tjänsten.
• Ett aktuellt CV.
• Kopior av relevanta studiebevis (masterexamen, fil. dr.).
• Forskningsmeriter. En komplett lista över alla publikationer i tidskrifter ska bifogas med en anvisning om vilka av dessa den sökande vill inkludera i ansökan. Du kan bifoga upp till 3 publikationer.
• Spridningskvalifikationer, inklusive deltagande i kommittéer, styrelser eller deltagande i organisationer och liknande.
• Ytterligare kvalifikationer i relation till positionen.
• Referenser/rekommendationer.
• Personuppgifter.

Välkommen med din ansökan via vårt rekryteringssystem senast 2023-03-31. Visa mindre

RISE Research Institutes of Sweden is Sweden's major research institute and innovation partner. In an international collaboration with companies, academia and the public sector, RISE contributes to a competitive industry and a sustainable society. Our 2,700 employees drive and support all types of innovation processes. RISE is an independent, state-of-the-art research institute that offers unique expertise and extensive test and demonstration environments for future technologies, products and services. www.ri.seOur ICT Division offers expertise throughout the chain for a digital, innovation-driven society – hardware, software, business development and industry knowledge in a range of strategic areas. The division offers cutting-edge expertise in areas such as sensor systems, automation, printed electronics, AI and data science, cyber security, visualization, interaction design, fiber optics, sustainable transport and circular business models.About the position We are looking for a Researcher who will work with the research and development of advanced sensor system solutions. The position is specifically connected to a three-year research project that is coordinated by Mid University. The project work is performed in close collaboration with multiple Swedish partners. You will be working together with the project’s team of experts.As a researcher in this project your main task will be to perform theoretical and experimental analysis of environmental monitoring sensor systems. Your work will include mathematical modelling, design work, experimental work, characterization, evaluation of results. Furthermore, you will contribute to the dissemination of results in merited scientific journals. We offer a permanent employment placed in Sundsvall.Who are you? We think you have a strong interest in all aspects of advanced sensor systems. You hold a PhD or equivalent qualification in electronic engineering, physics, or similar subject. Work experience is a merit but not mandatory. You need to be analytical, enjoy working in a dynamic team environment and have good communication skills. You are well organized, enthusiastic, self-motivated and strive for excellence in every task. You are proficient with mathematical calculation and statistical analysis methods. You are proficient in hardware, software and algorithm design and development methodology, as well as test software and data acquisition design for sensor system analysis.Contact Contact Christian Jonasson, group manager, +46709151841, or Duncan Platt, acting section manager, +46704559964, for more info. Applications will be evaluated continuously, and the start date will be agreed with the successful applicant. Application deadline: 8th Aug 2019.Labor union contacts: Lazaros Tsantaridis, SACO, 010-516 62 21Researcher, Sensor systems, Analyst, Modelling, Design, RISE, Sundsvall Visa mindre