We at KTH AI Society strive to bridge the gap between our members and the industry. It’s quite simple, companies working for the solutions of tomorrow need the talent of today. So below we listed all relevant work opportunities for you to take on new challenges.
For more opportunities, visit our strategic partner, Stockholm AI.
If you want to make a job posting contact us at email@example.com.
Any questions? Check out our FAQ
🌍 KTH AI Society, Stockholm
Apply before 2022-05-31
The HoO will be responsible for strategy development as well as maintaining the finances of the society. New framework development for making organisation more process driven, organizing events and talks, and preparing yearly reports would be something crucial in this role.
🌍 KTH AI Society, Stockholm
Apply before 2022-05-31
As Head of Education you will lead the education team to produce educational content and organize educational events at KTH. The education team manages and updates online content on our blog and youtube channel, organizes educational events and initiatives (e.g., hackathons), and collaborates with other organizations in Sweden.
🌍 KTH AI Society, Stockholm
Apply before 2022-05-31
In the role as HoB you will have the opportunity to build and lead a team to organize sales and events. Leading change and transformation projects across the organization. You will also receive a key account responsibility together with the chair for its main sponsors. You will also be an integral part in KTHAIS strategy work together with the chair and board.
🌍 DepictAI, Stockholm; Hybrid
Apply before 2022-05-24
Depict is on a mission to challenge Amazon's domination of e-commerce. We connect customers and retailers over a shared love for great products, by making e-commerce product discovery a breeze from start to finish. We want retailers with the best products, not the largest budgets, to win. We use computer vision and natural language processing to truly understand the product and provide state-of-the-art product recommendations.
🌍 Scania, Södertälje
Apply before 2022-05-29
Scania is one of the world’s leading manufacturer of trucks and buses for heavy transports, as well as industrial and marine engines. Transport services and logistics services make up an increasing part of our business, which guarantees Scania’s customers cost-efficient transport solutions and high availability. Over a million Scania vehicles are in active use, in over 100 countries.
The goal of this project is to use deep learning methods to generate time-series data that are similar to on-board vehicle sensors (based on collected data) in a decentralized fashion (i.e. with federated learning). Federated learning is an uprising field where we no longer collect data from any entity to the cloud to train a model but instead train a model on many entities and send a trained model back to the cloud. However, there are use cases where having the data on the cloud is better, such as research and developing completely new functionalities. However, collecting data can be GDPR sensitive, as it might be connected to some personal information. AI-generated synthetic data has in recent years become a very popular way to increase data repository, but also a way to use the data for model development or testing functionalities as it is no longer person related. In particular, the field of GANs (generative adversarial networks) has gained huge traction when it comes to generating photos and videos, e.g. generating realistic photos of non-existing persons. Therefore we want to explore this area of decentralized learning of synthetic data generation, such as , , , where we would want to generate realistic time-series data without collecting real data.
The student will have access to Scania’s Hadoop cluster as computational resources to train and run their models.
🌍 Scania, Södertälje
Apply before 2022-06-15
Scania is one of the world’s leading manufacturer of trucks and buses for heavy transports, as well as industrial and marine engines. Transport services and logistics services make up an increasing part of our business, which guarantees Scania’s customers cost-efficient transport solutions and high availability. Over a million Scania vehicles are in active use, in over 100 countries.One basic assumption of multivariate time-series is inherent relationship between the individual variates. In order to exploit the underlying structure in for the purpose of systems modelling, anomaly detection and even in explain-ability of black box AI models, one must learn underlying structures. Therefore, in this thesis, we will build models for structural learning from time-series.
Structural learning is a field that has been of interest for many years . Scania’s interest would be to learn these structural models from observed time-series data. The description of you task is as follows:
Student will be provided access to the computing infrastructure and to the dataset required for the task.
🌍 Backing Minds, Stockholm
Apply before 2022-05-31
We are BackingMinds. We are a Swedish early-stage venture capital company, supporting startup entrepreneurs with backgrounds outside the traditional networks, or founders in overlooked industries. We are driven by our belief that there are exceptional, but overlooked founders or ideas, and we aim to help grow great companies out of that. Today, our portfolio includes companies such as Transfer Galaxy, Dynamic Code and TrusTrace.
We are always looking for driven and talented people eager to work with us within the fast-paced area of startups and entrepreneurs. For the autumn 2022, we are looking for a master thesis student (or a thesis pair) to join our team.
🌍 Babyshop Group, Stockholm
Apply before 2022-05-30
There are hundreds of thousands of users browsing the tens of thousands of articles in our assortment. With such an extensive assortment, finding relevant and inspiring articles becomes far from easy, and the need for recommender systems is high. In ecommerce, providing relevant recommendations is critical for an engaging and satisfactory user experience. Many different methods for creating personalized recommendations exist, e.g., collaborative filtering, content-based filtering and session-based filtering to name but a few. Within the latter, a subset focuses on what is referred to as sequence based recommendations, where the users’ historical behaviour on the site is used to generate recommendations that they would like to interact with in the future.
🖥️ King, Remote
Apply before 2022-05-31
We are looking for passionate and creative Data Science, Data Analytics and Machine Learning Interns interested in pushing the boundaries of online games analytics to join our Kingdom! When we talk about data, we’re talking about more than a billion gameplays and 10 billion events. Every day.
You will be part of the community of 100+ data science & analytics experts at King, while working in smaller teams of 6- 8 people, including other data scientists & analytics, focused on particular games, our network or specific business areas. You will help us further understand, model, predict, segment and retain our players, and help take King’s data capabilities to the next level.
🌍 SEED EA, Stockholm
Apply before 2022-06-10
SEED is an innovation and applied research hub within EA Worldwide Studios. We bring together passionate team members to explore and build the future of interactive entertainment. Our work combines creativity with state-of-the-art technologies.
Can one use Machine Learning (ML) to drive character body model based on the input speech audio and/or text? What level of control over expressing emotion (e.g. enthusiasm, sadness, happyness, etc.) or other personal trait is possible (stoistic, reserved, friendly, etc.) can we achieve? Is this better than the baseline of selecting between a set of predefined animations?
🌍 Einride, Gothenburg
Apply before 2022-05-19
Part commercial enterprise, part revolutionary movement, Einride is creating a zero-emission transportation system, based on autonomous, all-electric vehicles, coordinated by an intelligent routing software — making the journey from A to B as efficient as possible.
🌍 Läkemedelsverket, Hybrid; Uppsala
Apply before 2022-06-01
Läkemedelsverket utlyser forskningsmedel för 50 procents finansiering av en doktorandtjänst på heltid under fem år för tiden 2023–2028, inom området tillämpad AI med inriktning mot farmakovigilans.
Tjänsten ska inrättas hos en svensk akademisk institution, eller flera i samarbete, med hög vetenskaplig och teknisk kompetens inom artificiell intelligens (AI), med särskild inriktning mot natural language processing (NLP) och statistisk maskininlärning.
Forskningen förväntas omfatta NLP för analys, klustring och kategorisering av regulatorisk och hälso- och sjukvårdsrelaterad text på både svenska och engelska, samt statistisk maskininlärning med både transparenta modeller och djupa neurala nätverk.
Projekten kommer att vara knutna till Läkemedelsverkets arbete med tillämpad AI inom området farmakovigilans (läkemedelssäkerhet). De förväntas till åtminstone 50 procent att bedrivas i Läkemedelsverkets lokaler och skyddade datamiljöer. Bihandledarskap med farmakoepidemiologisk och regulatorisk expertis, arbetsplats, datorutrustning, tekniskt stöd och tillgång till data erbjuds.
Den vetenskapliga fördjupningen kan delvis vara tvärvetenskaplig mot tillämpningsområdet hälsa/läkemedel och bör vara relevant för Läkemedelsverkets regulatoriska ansvarsområden som statlig myndighet.
🌍 IBM, Stockholm
Data Scientists / Engineers are part of a cross-functional team that delivers a unique client co-creation experience to accelerate client transformation • Acts as a key contributor to a pre-sales Client Engineering team, partnering with clients to understand business problems and propose solutions • Contributes to co-creation of rapid proofs of concept and Minimal Viable Solutions that demonstrate business value, leading to client investment in strategic solutions • Translates business problems into leading-edge analytics solutions using consulting skills, industry expertise and technical knowledge • Delivers meaningful insights and predicts emerging trends to inform business solutions that optimize client value • Familiar with Data Engineering techniques to gather, prepare, cleanse, and transform client data for analysis and AI automation
🌍 Apple, Stockholm or Göteborg
The 3D Vision team at Apple Maps is looking for extraordinary talent to join our team of computer vision and machine learning experts. With us, you will be working on cutting-edge technology as well as researching and developing new machine learning algorithms for processing and making sense of vast volumes of sensor data!
🌍 Säkerhetspolisen, Stockholm
Har du erfarenhet av data science-tekniker som AI och djupinlärning? Brinner du för att skapa förutsättningar som kan berika? Vi söker nu nya kollegor, bland annat Data & ML engineers, backend och frontend engineers, data scientists och operativa dataanalytiker som vill vara en del i vårt team inom data science-området!
🌍 Sana Labs, Stockholm
At Sana, we believe that learning is the foundation for human progress. Our goal is to drastically improve how people learn, across every industry, and across the globe. We take insights from learning science and apply them through artificial intelligence to create the world's best learning platform.
We rely on curious minds, big hearts, and brave souls to change the way the world learns forever. Think you’d be a great fit? We want to hear from you. Currently hiring across the stack.
🌍 PWC, Stockholm Göteborg Malmö
Working as a Data Scientist in our Data & Analytics Consulting practice, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage.
🌍 Spotify, Stockholm
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.
🌍 RISS, Pittsburgh, PA, USA
The applications for RISS (summer research paid internship) program at Carnegie Mellon University (Pittsburgh, PA, USA) has launched!
🌍 Asket, Stockholm
ASKET is a direct-to-consumer clothing brand on a mission to slow down fashion and end over-consumption by creating garments free of compromise, allowing more people to live with fewer but better items. Aside from creating zero compromise garments, a huge part in the success of a modern e-commerce based retailer is to consolidate, manage and act on the data that is being collected from multiple touchpoints.
ASKET has a modern data infrastructure built in order to support automation and data-driven decisions which in short consists of a cloud computing-based data warehouse (DWH) and a customer data platform (CDP). This infrastructure yields datasets which comprise web-interactions, cart creations, transactions and size-related data.
Given these datasets we are now looking to explore how ML can further be used in order to provide best of breed e-commerce. As an example, during last year we developed and launched our proprietary ML-based (SVM) Size Finder with the ambition to increase customer trust and reduce costly and emission driving returns and exchanges. During spring 2022 we are looking for 1-2 students who are looking to explore the latest ML algorithms using highly real and applicable data as their thesis project. Some (not exclusively) of the fields that are of interest are...
Applications are open until November 30th and interviews will be held continuously. Send CV along with some words about what area you think sounds interesting to firstname.lastname@example.org and we'll meet for some coffee and a chat at our HQ at Odenplan.
🌍 Krona, Stockholm
Hi future entrepreneur, We are Akanshu, Shounak and Parath- two Robotics Enthusiasts and an experienced Solution Architect, and we are developing an app for the millennials to take the first step to financial freedom. We are now looking for a finance person to join us in our journey.
At Krona we believe in diversity and therefore welcome all applicants regardless of gender, background, or beliefs.
The intention is that you will become a core team member of the company. We're offering a fantastic chance to enter an early-stage startup on the way to an exciting market. We're looking for a like-minded team member who will share our passion and help us succeed with Krona. Would you like to join us on this journey?
🌍 Tendmill, Stockholm
Do you want to help digitize the public procurement industry with cutting-edge technology?
During spring 2022 we will host the following paid master's theses.
We also have open positions for software developers, who want to join our small team of skilled engineers.
🌍 SMHI, Stockholm
SMHI har mängder med observationer i pappersformat från tiden före 1961. Dessa data bidrar till det viktiga arbetet med att beskriva vårt historiska klimat för att ännu bättre förstå klimatförändringarnas omfattning. Dessa data behöver nu digitaliseras, men att göra detta manuellt skulle kräva åtskilliga år av arbete.
För detta uppdrag söker vi nu 2 – 4 studenter, som läser teknik, naturvetenskap eller IT och har erfarenhet av programmering och AI-tillämpningar.
För uppdraget krävs att du har mycket goda datorkunskaper och att du kan jobba i team. Du är självgående och strukturerad och tar ansvar för uppgiften. Du är tydlig i din kommunikation och säger till i god tid när problem uppstår eller hjälp eller beslut behövs. Du har goda kunskaper i engelska och som lägst grundläggande kunskaper i svenska. Kunskap om väder och klimat är meriterande.
Uppdraget kommer att pågå under hösten 2021 och omfattar 60 – 150 timmar.
Uppdraget innebär att pröva ut möjligheten att automatiskt digitalisera observationsdata med hjälp av AI. Vi tänkte testa två olika programpaket, en kommersiell molnlösning och ett open-source-system. Arbetet ska leverera arbetsflöden och analys av prestanda för båda paketen. SMHI har redan tagit fram träningsdata i form av scannade journaler och digitaliserade data. Blir arbetet framgångsrikt fortsätter vi med metoden för att digitalisera delar av eller samtliga data.
En förutsättning för uppdraget är att du har tillgång till egen dator.
Är du intresserad? Välkommen med din ansökan senast 7 november. Vi ser fram emot en beskrivning av vem du är, din bakgrund och kompetens.
För mer information kontakta gärna Heiner Körnich på tel. 011-495 80 00.
🖥️ UNDP, Remote
UNDP IICPSD is looking for the Data Science Interns to join the SDG AI Lab , which aims to harness the potential of frontier digital technologies such as Artificial Intelligence, Machine Learning and GIS for sustainable development. The Data Science Interns will support SDG AI Lab team with the implementation of digital solutions for sustainable development and SDGs.