We are offering a PhD position in the field of algorithmic graph theory. The position is a full-time employment with a competitive monthly salary and full social benefits for up to five years, and you will be part of a lively research environment located in the beautiful city of Gothenburg on the West coast of Sweden. General information The Department of Computer Science and Engineering is a fully integrated department with the University of Gothenburg and Chalmers University of Technology as principals. The department is widely recognised for excellent research and education, and strongly international with approximately 300 employees from more than 40 countries. Our department is located in Sweden’s second largest city Gothenburg – the world’s most sustainable destination every year since 2016 according to the Global Destination Sustainability Index. The department is organised in four divisions where research spans from theoretical foundations to applied systems development. The position is placed in the Logic and types unit of the Division of computing science, with Chalmers University of Technology as employer. Major responsibilities As a PhD student, you will acquire the skills and knowledge to conduct independent research, culminating in writing a scientific dissertation contributing to the development of knowledge in the subject area. More specifically, you will read, review, and write research papers; give presentations; take courses that complement your background; conduct research within the topic of the project under the guidance of the supervision team of experienced researchers. The proposed work includes many opportunities for collaboration and interaction at the department, and other universities. This position is a great opportunity for you as a PhD student to develop your scientific and technical skills as part of a team of leading researchers in the area of algorithmic graph theory. The project in particular concerns graph modification problems. The goal is to investigate the tractability of these problems from both the classical and parameterized complexity perspectives. This work lies at the intersection of structural graph theory, computational complexity and algorithm design. Read more about doctoral studies at Chalmers here. Qualifications By the starting date, you have a degree at Master's level or equivalent in computer science, mathematics, or a related field, corresponding to at least 240 higher education credits. Knowledge in graph theory, classical/parameterized complexity and algorithms is meritorious, as well as a documented track record of research in the area of the project. The working language at the department is English and the position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses. Contract terms You will be enrolled in our PhD program, comprising over 140 PhD students in the department. PhD student positions are limited to five years. Besides devoting 80% of your working time to performing research, the remaining 20% of your working time is devoted to departmental duties, such as helping as a teaching assistant in courses offered by the university. Salary for the position is as specified in Chalmers' general agreement for PhD student positions. We offer At Chalmers we seek to establish a good work/life balance. We want to provide you with the means to pick the best path possible in your pursuit of making a difference. Our ambitions in this area are reflected in the generous employment conditions, including: • Holiday allowance of 28-35 days per year depending on age; • A collective agreement including parental pay, sick pay supplement, and medicine costs; • A wellness allowance towards activities promoting good health; • Flexible working conditions. Read more about working at Chalmers and our benefits for employees.   Chalmers continuously strives to be an attractive employer.  Our aim is to actively improve the gender balance and diversity in our department. We therefore welcome a diversity of applicants with different backgrounds and experiences. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be marked with reference number 20240219 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. The application should include the following items: CV: • CV including list of publications; • Other information like previous employment or leadership qualifications; • Contact information for two references. Personal letter: maximum of one A4 page where you • Introduce yourself; • Describe your previous experience of relevance for the position; • Describe your future goals and your research interests. Other documents: • Evidence of written work, preferably in the form of links to research papers and theses; 
 • Attested copies of completed education (including grades) and other certificates. Use the button at the foot of the page to reach the application form.  Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 2024-05-21 For questions, please contact: Assistant Professor Esther Galby, [email protected], Main supervisor Associate Professor Ana Bove, [email protected], Head of Logic and Types unit

This position at the department of Electrical Engineering is an opportunity to be a part of creative and globally relevant research network addressing communication network security. By combining AI/ML and networking knowledge, you will be able to take initiative, design, and implement functionalities for enhancing the achievable levels of 5G network security. The developed techniques may be validated on cutting-edge network management frameworks in collaboration with our international research partners. Ultimately, the research carried out in this project has the potential to improve sustainability of the global communication network infrastructure. Information about the research Optical communication network infrastructure forms the backbone of today's information society, but is vulnerable to various attacks that jeopardize secure operation of upper layer network services. This research project, funded by the European Commission, aims at developing an encompassing 5G cybersecurity toolbox. The role of the Chalmers team in the project is to address the transport optical network segment security challenges. Specifically, we will develop processes for security assurance of transport network control and management, and investigate the concrete vulnerabilities of SDN controlled network components in virtualized scenarios. We will then focus on developing tools for risk mitigation in 5G networks associated with the control and management of the network and compute infrastructure. For the control of the network infrastructure using SDN, emphasis will be given on identifying optimal solutions that prevent malicious attacks or unauthorized access to the network. Attention will be put on development of intelligent solutions based on AI/ML to continuously monitor the status of the SDN components, and intelligent policy control mechanisms preventing the installation of rules that may cause instabilities. Finally, we will develop mitigating measures supporting 5G Lifecycle Management through network slicing and virtual network function placement. Major responsibilities Your main responsibilities as postdoctoral researcher are related to conducting cutting-edge research and disseminating scientific outcomes in top-tier journals and conferences. You will have the freedom to independently formulate and solve research problems in line with the work envisioned by the international research project you will be a part of. You will have an opportunity to take initiative on suitable project tasks and tightly collaborate with project partners from leading European universities and companies. Depending on your preferences, you may also be involved in supervision of Ph.D. and M.Sc. students. The position is meritorious for future roles within academia and industry. Qualifications Mandatory -) Ph.D. degree in Electrical Engineering, Computer Science, Telecommunications, or similar. -) Knowledge of SDN-based communication networks, network virtualization and/or network security (not necessarily all of them) -) Experience in communication network design and optimization techniques -) Experience in applying AI/ML methods to management and operation of communication infrastructures, including monitoring, security, and service provisioning -) Ability and motivation to carry-on high-quality research -) Strong track record demonstrated by publications in Q1 journals and top-tier international conferences -) Programming skills -) Openness and creativity Desirable -) Courses and experience with 5G networks and systems -) International scientific and/or industry collaboration experience -) Participation in conferences To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. Contract terms This postdoc position is a full-time temporary employment for two years. For more information about what we offer and the application procedure, please visit Chalmers webpage. See link: Postdoctoral fellow in optical transport network security *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***  Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!

Avdelningen för vetenskap, teknik och samhälle vid Chalmers tekniska högskola rekryterar nu till en 2-årig postdoktortjänst inom forskningsprojektet ADAPT, "Advanced Digital Skills Policy Lab for Academic Transformation”, finansierat av Vinnova. Vi söker dig som är samhällsvetare med erfarenhet eller kunskap inom det tvärvetenskapliga fältet teknik- och vetenskapsstudier. Du kan ha bakgrund inom exempelvis sociologi, antropologi, filosofi, statsvetenskap, pedagogik, barn- och ungdomsvetenskap eller vetenskapsteori. Andra examina och ämnen inom samhällsvetenskap och humaniora är också relevanta. Om projektet Behovet från industrin av avancerad kompetensutveckling och livslångt lärande är stort och ökar, särskilt vad gäller de snabbt växande områdena inom avancerad digitalisering. Universitet och högskolor arbetar tillsammans med industrin för att möta den ökande efterfrågan. Flera policy relaterade hinder, som rör bland annat finansiering, lagstiftning, kultur och incitament, skapar dock utmaningar för livslångt lärande. ADAPT-projektet har som mål att utforska hur förändrade policys skulle kunna bidra till ökat utbud och mer tillgänglighet när det gäller kompetensutveckling för avancerad digitalisering. Genom att skapa ett policylabb för avancerad digitalisering vill vi kvalitativt och kvantitativt utvärdera effekterna av olika policyförändringar inom högskoleområdet, i nära samarbete med representanter för olika intressen. Information om avdelningen Avdelningen för teknik, vetenskap och samhälle fokuserar på teknikens och vetenskapens roll i samhället. Avdelningen är en ung och dynamisk miljö där du kan fördjupa dig i dina egna forskningsfrågor. På avdelningen kan du hitta toppforskare inom andra områden som har lång erfarenhet av tvärvetenskaplig forskning och är angelägna om att ta in nya perspektiv. Bland de discipliner och områden som är representerade på avdelningen finns exempelvis teknik- och vetenskapsstudier, teknik- och vetenskapshistoria, sociologi, antropologi, filosofi och genusvetenskap. Huvudsakliga ansvarsområden Som postdoktor kommer du bedriva självständig empirisk forskning i projektet ADAPT i nära samarbete med ett tvärvetenskapligt forskarteam från Chalmers, KTH, Linköpings universitet och Örebro universitet. Vi ser gärna att du arbetar med teorier, metoder och insikter från det tvärvetenskapliga fältet teknik- och vetenskapsstudier. Exempelvis skulle “the sociology of expectations” eller “situated intervention” kunna vara relevanta teoretiska ansatser för projektet, men vi är öppna för att höra hur just dina kunskaper och erfarenheter kan berika projektet. Vid avdelningen för teknik- och vetenskapsstudier är Francis Lee din närmaste samarbetspartner. Vi är inom ramarna för projektet öppna för att anpassa din roll till dina forskningsintressen, din tidigare erfarenhet och dina behov av att meritera dig. Anställningsform Tjänsten är en heltidsanställning på två år. Kvalifikationer Du ska ha en doktorsexamen inom relevanta områden inom samhällsvetenskap eller humaniora, samt god erfarenhet och/eller kunskap inom det tvärvetenskapliga fältet teknik- och vetenskapsstudier. Exempel på relevanta examina kan vara sociologi, antropologi, filosofi, statsvetenskap, pedagogik, barn- och ungdomsvetenskap eller vetenskapsteori. Andra examina och ämnen inom samhällsvetenskap och humaniora är också relevanta. För tjänsten som doktor förväntas sökande ha erfarenhet av undervisning och visa på god potential för utbildnings- och forskningsverksamhet. Chalmers arbetar aktivt för att vara en attraktiv arbetsgivare. Jämställdhet och mångfald är viktiga grunder för all verksamhet på Chalmers. Att arbeta på Chalmers Chalmers vision ”För en hållbar framtid” genomsyrar synen på vår arbetsmiljö och våra medarbetare. Här kan du läsa mer om våra förmåner och hur det är att arbeta på Chalmers. Ansökningsförfarande Ansökan ska vara märkt med 20240221 och författas på engelska. Dokument skickas elektroniskt och ska innehålla: CV: (namnges gärna som: CV, Efternamn, Ref.nr) som ska innehålla:  • CV, inkl eventuell publikationslista, • en beskrivning av erfarenheter inom undervisning och pedagogisk verksamhet samt arbetslivserfarenhet, ledarerfarenheter och annan för tjänsten relevant verksamhet. • två referenspersoner som vi kan kontakta (beskriv relationen till dem och lämna kontaktuppgifter) Personligt brev: (namnges gärna som: Personal letter, Efternamn, Ref.nr): 1-3 sidor där du: • Presenterar dig själv • Beskriv dina tidigare forskningsområden och forskningsresultat • Beskriv framtida mål och forskningsfokus Övriga dokument: • attesterade kopior av utbildningsbevis med betyg och övriga intyg. För att skicka in din ansökan, använd knappen längst ner på sidan. Maxstorlek för varje fil är 40 mb. Vänligen notera att systemet inte stödjer zip-filer. Sista ansökningsdag: 2024-05-08 Vid frågor, vänligen kontakta Francis Lee, postdoktorhandledare vid STS, [email protected] Ulrika Lundqvist, projektledare för ADAPT vid Chalmers och utbildningsområdesledare för livslångt lärande, Fysisk resursteori, Rymd-, geo- och miljövetenskap, [email protected] Catharina Landström, enhetschef STS, [email protected] *** Chalmers undanber sig alla erbjudanden om ytterligare jobbannonsering eller rekryteringsstöd i samband med denna rekrytering. ***     Chalmers vision är att aktivt medverka till en hållbar framtid. Vår forskning och utbildning inom teknik, naturvetenskap, arkitektur och sjöfart bedrivs i nära kontakt med omvärlden. Strategin för att nå vetenskaplig excellens förverkligas inom sex styrkeområden; Energi, Hälsa och teknik, Informations- och kommunikationsteknik, Materialvetenskap, Produktion och Transport. De grundläggande vetenskaperna utgör basen och hållbarhet, innovation och entreprenörskap är viktiga drivkrafter. Chalmers har omkring 11 000 studenter och 3000 anställda. Utveckling och förnyelse har präglat Chalmers ända sen starten 1829, helt enligt grundaren William Chalmers motto: Avancez!

Are you the PhD candidate who wants to contribute to new knowledge and solutions on the future design requirements of crashworthy ship structures for commercial ships powered by small modular reactors? Information about the research project Design of crashworthy ship structures is a research discipline within marine structural engineering that has again received increased attention. Autonomous ships/navigation, increased ship traffic density along the coasts, and passive protection of parts of the hull structure for cargo or machinery room are some examples where a crashworthy structure is needed. The PhD candidate will work on a research project to investigate barriers within regulations for ship design/construction and propose solutions for commercial ships if small modular reactors (SMR) are introduced. The SMRs must be located safely in the ship. The side-shell and bottom structures must, therefore, be protected against ship collision and grounding accidents. Different alternatives for crashworthy structure designs will be investigated and compared using the finite element (FE) method by simulation of ship-to-ship collision and grounding events. The results from the FE simulations will be assessed with respect to each structure's structural integrity, focusing on energy absorption (accidental limit state) and contribution to the ship's global strength (ultimate limit state). Optimization analysis may be performed for the most "promising" structure design. The PhD candidate will conduct the research in close collaboration with industry partners that are considering installing SMRs in commercial ships and with NTNU (Norway), which has an ongoing project on the same topic. Information about the division The division of Marine Technology conducts research and education centred primarily around the professional understanding and technical development of methods and models within the fields of Naval Architecture and Ocean Engineering. The core research areas span ship design, marine structures, hydrodynamics, safety and reliability, and maritime operations Research activities are performed within both basic sciences to advance the understanding of the physics controlling the design and operation, as well as applied sciences in, e.g. simulation tools to support a designer, advance the regulations and provide models for ship operations. Another important challenge is how to derive reliable metocean parameters for practical applications, such as a ship's energy performance monitoring when sailing at sea. Safety and energy efficiency in ships are at the core of the research and education, and we work closely with different industry partners to ensure a high relevance and promote utilisation. The division is responsible for educating Naval Architects and Ocean Engineers within the international master's program Mobility Engineering at Chalmers. Information about the the department The department of Mechanics and Maritime Sciences (M2) conducts fundamental and applied research in all modes of transport to achieve sustainable technological solutions. M2 holds one of Sweden's most extensive simulator centre for navigation and propulsion of ships, as well as world class laboratories for experimental studies. The department also offers and contributes to bachelor and master programs in areas such as Shipping, Automotive and Mechanical Engineering to mention a few. In addition, professional education is performed on both a national and international level, with specific designed mission training for different social actors, within our ambition for a lifelong learning. The department continuously strives to establish a cooperation between academia, industry, and society, with a great focus on utilization. M2 is characterized by an international environment with employees and students from around the world, as well as outstanding research and world-class education. Major responsibilities Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours. Read more about doctoral studies at Chalmers here. Qualifications To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field. The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses. Contract terms Full-time temporary employment. The position is limited to a maximum of five years. We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. For more information about the application procedure, please visit Chalmers website.

You will be a part of an exciting research environment and acquire the skills to conduct independent research. You will contribute to a future in which we can rely on better learning-enabled autonomous systems that have the potential to improve healthcare, transportation, and other areas of our society.   Project description We are announcing one PhD position that is placed at the Division for Interaction Design and Software Engineering with Chalmers University of Technology as the employer. Our division provides world-leading research and education in the development of complex and software-intense systems and is characterized by extensive international cooperation as well as close collaboration with the local industry. With approximately 50 researchers including PhD students, PostDocs, and professors, we are one of the largest academic software engineering research groups in the world. Our core expertise is in AI Engineering, software testing, requirements engineering, behavioral software engineering, and software engineering for automotive systems. Being broadly recognized in the academic community, our division has hosted top international conferences such as ICSE, SPLC, ICSA, REFSQ, and EASE during the past recent years.   Information about the division and the department The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 270 employees from more than 30 countries is widely recognized for excellent research and education. Our department is located in Sweden's second largest city Gothenburg - the world's most sustainable destination every year since 2016 according to the Global Destination Sustainability Index. The four research divisions at our department are essential scientific facilitators in a vibrant ecosystem of software-intensive companies such as Volvo, Ericsson, and Einride. This ecosystem is complemented by a growing start-up scene supported by collaboration hubs like MobilityX Labs and AI Sweden, the national center for applied AI that is bringing together over 120 partners across public and private sectors including academia. Major responsibilities The position comes with enrollment in the PhD program for Computer Science and Engineering, designed for 5 years. As a PhD student, you acquire the skills and knowledge to conduct independent research in the field of software engineering, with a special focus on techniques for enabling dependable AI. You also contribute to the development of knowledge in the subject by writing a scientific dissertation. This includes devoting 80% of your working time to performing research under the supervision of more experienced researchers. Typically, this means carrying out research, writing academic articles, and taking courses to complement your background. The remaining 20% of your working time is devoted to departmental duties, such as helping as teaching assistant in courses offered by the University. Those duties can be concentrated on certain parts of the year depending on the needs of the business in consultation with the students.    Together with the successful applicant, we aim to consider how to combine techniques rooted in first principles (time-to-collision, physics) and symbolic approaches developed in software engineering (e.g., formal verification, testing, synthesis) with the engineering of learning-based software components (e.g., DNN) to ensure that the learning-enabled component will not be the source of harm. In the past, we have developed approaches to formally verify and test autonomous systems, designed specialized loss functions reflecting the safety principles, and developed runtime verification techniques for abnormality detection. The results have been applied in concrete industrial use cases such as autonomous driving, intelligent defect inspection for high-speed trains, and factory automation. As part of the PhD position, you will be able to engage in top-notch research and make a positive impact on society. Read more about doctoral studies at Chalmers here. Qualifications A person meets the general entry requirements for third-cycle studies if he or she:    1. has been awarded a second-cycle qualification  2. has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or  has acquired substantially equivalent knowledge in some other way in Sweden or abroad. We strongly welcome candidates who have demonstrated early research potential with evidence such as publications in leading CS conferences within fields such as software engineering (e.g., ICSE, FSE), formal methods (e.g., CAV, TACAS, FM, ATVA), robotics (e.g., ICRA, IROS), AI (e.g., AAAI, IJCAI, ECAI) or machine learning (e.g., ICML, ICLR). Contract terms Full-time temporary employment. The position is limited to a maximum of five years. For more information about what we offer and how to apply, please visit Chalmers website.

If you are interested in developing innovative ways to assess drinking water quality and implement water treatment, this temporary position will help you build networks and gain new skills in this field. You will work in a dynamic and cooperative team at the forefront of this research field. Chalmers has a central location within a liveable and connected European city, and excellent office and research facilities including a spacious and well-equipped laboratory. Job description The work will be carried out within the division of Water Environment Technology (WET) at the department of Architecture and Civil Engineering at Chalmers. In this project, you will cooperate with experts on DOM characterisation, chemometrics, and drinking water treatment. You will be surrounded by numerous other ongoing projects in the fields of environmental assessment, urban planning, and resource recovery. The work will mainly be performed in the laboratory where you will be responsible for performing water quality measurements and will facilitate research activities at Chalmers and other locations. You will participate in laboratory experiments and in field sampling and will coordinate with collaborators at other universities and at various municipal water treatment plants. Contract terms Temporary position for a maximum of 360 days. The employment can be either full time or part time (minimum 60%) for this maximum duration.   Qualifications You have a Masters degree or equivalent in analytical chemistry, aquatic science, or water engineering. You have a basic understanding of water chemistry and prior experience performing water quality measurements in the laboratory and/or in the field, for example TSS, BOD, COD, turbidity, conductivity, alkalinity, absorbance spectroscopy, fluorescence spectroscopy. You are an energetic, independent and motivated person who likes to solve problems and enjoys working in a research environment. We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be marked with Name, 20240222 and be attached as PDF files, as below: CV Personal letter Other documents (optional): • Copies of completed education, grades etc. Two references that we can contact should be provided at a possible interview. Please use the button at the bottom of the page to reach the application form. We do not accept applications sent by email. Application deadline: 5 May 2024 For questions, please contact: Kathleen Murphy, WET [email protected], +46 31 772 2361 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!

The Vehicle Aerodynamics and Thermal Management (RVAD) group at Chalmers is expanding its scope to encompass new areas central to the transition to a sustainable, fossil-free society and is seeking an Associate Professor or Assistant Professor in Heat Transfer. With our well-established scientific network, close ties to industrial partners, and commitment to develop innovative solutions, we provide an ideal platform for you to make real impact.  You will be able to pursue your ideas within a collaborative and inclusive working environment at one of Scandinavia’s top universities in the lively west-coast city of Gothenburg, Sweden. The department and the research group The Department of Mechanics and Maritime Sciences (M2) conducts fundamental and applied research in all modes of transport and is characterized by an international environment, outstanding research, and world-class education. It consists of seven divisions within the areas of engineering and maritime sciences, and one division of administration and support. The division of Vehicle Engineering and Autonomous Systems (VEAS) works with fundamental and applied research questions for vehicle or robot applications. Our aim is to provide solutions to problems of industrial and societal relevance using basic theory, modelling, and simulations. Our staff is responsible for 13 courses at Bachelor, Master, and PhD levels. Fundamental fluid- and heat transfer problems form the base for all research in the RVAD group. Renowned internationally for our contributions to vehicle aerodynamics, brake cooling, underhood, and battery thermal management, we perceive thermal optimization as an evolving field with rapid technological advancements, especially amid the electrification of the transportation sector. Our interests span across battery and fuel cell heat management, utilization of AI techniques for enhanced modelling, interior climate control, acoustic effects on heat transfer, and exhaust heat recovery. All these areas require both fundamental understanding of heat transfer and the ability to propose new engineering solutions. In collaboration with colleagues from other divisions at our department, you will have the opportunity to apply your heat transfer knowledge to applications across all modes of transport (land, sea, air). Job description You will benefit from our robust foundation in applied thermal engineering to pioneer advancements in fundamental heat transfer within novel applications. Your responsibilities will involve participating in ongoing projects, but most significantly, actively securing funding for future projects both for yourself and for others (PhD students and post-docs). We expect a blend of creativity, focus, independence, and initiative, coupled with teamwork skills. You will supervise students across various academic levels and engage in project management to some extent. As member of the teaching faculty, you will be expected to teach approximately 20% of your total working time. At Chalmers, we highly value utilization and academic citizenship. You will be expected to contribute to a positive and inclusive working environment, to participate in committees and councils, to serve as advisor to decision makers, and so on.  Your profile  You have a PhD degree in Mechanical Engineering, Applied Physics, or equivalent and solid knowledge in heat transfer and fluid mechanics. For the Assistant Professor post, the degree must not be older than 7 years prior to the application deadline. Exceptions can be made for longer periods resulting from parental leave, sick leave or military service*.  For the position as Associate Professor, you must meet the qualifications, experiences, and skills listed below:  -A good track record in teaching at undergraduate and graduate levels. - A good track record regarding high-quality, independent scientific research. - A good track record of successful grant applications. - Experience with PhD student supervision. For the Assistant Professor position, the above is not mandatory but meritorious. You should, however, demonstrate experience of applying for research funding. Excellent command of English, both written and spoken is required.  * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree.  Contract terms The position is aimed for Assistant Professor or Associate Professor level. Associate Professor at Chalmers is a permanent faculty position. The appointment as Assistant Professor is a four-year, entry-level, faculty position with tenure track, whereby you will acquire both pedagogical and research qualifications. An Assistant Professor is expected to improve their ability to formulate and solve scientific problems, to publish scientific articles, and to develop their skills in teaching and supervision, by means of both practical training and independent study. The aim is to achieve the level of Associate professor within four years and, if successful, you will be offered a permanent faculty position at Chalmers.  The level of the position will be decided based on the qualifications of the selected candidate.  We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure To apply, please go to: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=12775 Application deadline: 31 May, 2024 For questions, please contact: Professor Simone Sebben, Head of Division at VEAS [email protected], +46 (0)70-3891176 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

This PhD position offers a unique opportunity to dive into the exciting area of reinforcement learning within the broader landscape of AI and machine learning. As a candidate, you'll have the chance to develop exciting theoretical concepts and innovative methodologies, all while making tangible contributions to real-world applications with practical impact. Moreover, the PhD student will enjoy working in a diverse, collaborative, supportive and internationally recognized environment with collaborations with a number of internationally leading research groups. About the position This position revolves around the fundamental principles of AI and machine learning, with a specific emphasis on reinforcement learning. Machine learning encompasses a range of data-driven techniques that derive models for tasks such as prediction, exploratory data analysis, and explanation. The primary focus of this position is on reinforcement learning which examines the interactions between an agent and its environment, aiming to maximize cumulative rewards (to reach the goal as efficient as possible). Within this project, we will develop novel reinforcement learning methods considering aspects such as sample efficiency, robustness, efficient training and inference, multi-agent reinforcement learning, etc. This position will explore fascinating theories and innovative methods while also giving you the chance to investigate them in interesting real-world applications. The research group of Morteza Haghir Chehreghani is based in the Division of Data Science & AI (DSAI) in the Department of Computer Science and Engineering (CSE). Our primary focus lies in the development of advanced AI and machine learning methods and their application across various domains. Currently, our research is concentrated on areas such as reinforcement learning, decision making under uncertainty, unsupervised learning, and generative AI. Information about the division and the department The CSE department is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department is divided into four divisions, and employs around 270 people from over 30 countries. Research in the department has a wide span, from theoretical foundations to applied systems development. We provide high quality education at the bachelor's, master's, and graduate levels, offering over 120 courses each year. The Data Science & AI (DSAI) division is one of four divisions in department with focus on fundamental and applied research on AI and machine learning at high international standards. Research in our division is collaborative and interdisciplinary with strong connections to various industries (e.g., pharmaceutical, transport and energy sectors). Major responsibilities The major responsibilities for a PhD student position in the division include conducting doctoral research within the framework of the outlined research project and coursework. The PhD student will be enrolled in a graduate program in the Department of Computer Science and Engineering. The PhD student is expected to develop novel ideas and communicate scientific results orally as well as in written form. In addition, the position includes 20% departmental work, mostly as a teaching assistant in Chalmers' undergraduate and masters-level courses or performing other departmental tasks. Read more about doctoral studies at Chalmers here. Qualifications To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field. The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses. Contract terms Full-time temporary employment. The position is limited to a maximum of five years. We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be marked with reference number 20240146 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV: (Please name the document: CV, Family name, reference number) • CV • Other, for example previous employments or leadership qualifications and positions of trust. • Two references that we can contact. Personal letter: (Please name the document as: Personal letter, Family name, ref.number) 1-3 pages where you: • Introduce yourself • Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities) • Describe your future goals and future research focus Other documents: • Copies of bachelor and/or master’s thesis. • Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results. Use the button at the foot of the page to reach the application form.  Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 2024-06-10 For questions, please contact: Associate Professor Morteza Haghir Chehreghani, Data Science & AI division, CSE, [email protected]