Assistant Professor in Computer Science - Reinforcement Learning and Deep Learning - Hiring in process/Finished, not possible to apply

School of Engineering is recruiting three Assistant Professors in Computer Science with specializations in Deep Learning and reinforcement learning, Software engineering for AI or ML and/or Trustworthy AI 

The position, Reinforcement Learning and Deep Learning 

We are looking for new colleagues who are interested in contributing to our academic environment and who are committed to student learning, actively contribute to your own research and are interested in collaborating with industry. The specific role is: 

• Expertise in machine learning with a focus on reinforcement learning and deep neural networks.
• Strong research background in developing and applying advanced neural network models to complex real-world problems.
• Proven experience in advancing AI methodologies and contributing to the academic community through research and publications.

Qualifications 

To be eligible for a position as an Assistant Professor at School of Engineering, you must have been awarded a doctorate degree in Computer Science or a closely related field, and possess strong research skills, evidenced by your ability to produce and publish scholarly work in Computer Science or a closely aligned discipline. The position requires fluency in English.  

Research.  We expect you to have published as main author in subject of relevance and have presented at international peer-reviewed conferences. It is meritorious if you have a track record of highly ranked journal publications and/or if you have participated in international research collaborations and/or have contributed to research applications.  Publications in the areas related to the specific roles are meritorious as well. 

Education.  Documented pedagogical and teaching experience, at both the undergraduate and postgraduate levels, is meritorious including in areas such as Software Engineering, Software Development, Introductory and Object-oriented Programming, Algorithms and Data Structures, Web Development and Distributed Systems. The appointee will demonstrate interest in supervising undergraduate projects, Masters, and Ph.D. students (according to opportunity). 

Other merits.  Other non-essential but meritorious qualifications include knowledge of or fluency in Swedish; experience working in the software industry and/or in computer programming; contributions to open-source projects; and solid knowledge of the Python programming language and standard machine learning toolkits.  

We will put great value on your aptness to the organization, including flexibility, communication skills, quality awareness, and ability to collaborate and build relationships. Also, we will assess your potential to develop and lead education and research. You should be willing and able to contribute to an open and dynamic academic environment. 

We encourage applications from candidates with a background in any area of Computer Science research and teaching.  

For a full description of eligibility and the recruitment process, see "Appointment Procedure at Jönköping University.”

Application details 

Please submit your application no later than 2024-09-30 in PDF format. Your application must include the following: 

• A personal cover letter motivating your interest and suitability for the position, including a description of your specialization in Reinforcement Learning and Deep Learning.
• Curriculum Vitae
• Contact details for three referees
• Attested certificates and diplomas
• A detailed pedagogic portfolio, including  
  • pedagogic approach,
  • courses taught, including specifications of extent, role, and level
  • course evaluations
• A publication list 
• A brief outline of your envisioned research agenda for the coming years 
• Electronic copies of a selection of up to five of your academic articles 
• An electronic copy of your PhD dissertation 

For more information about JU and School of Engineering, visit: https://ju.se/en/about-us