PhD position transfer learning in medical imaging 1

 

The DASYA (DAta-intensive SYstems and Applications) group at the Computer Science Department of the IT University of Copenhagen invites motivated individuals to apply for a PhD position starting 1 October 2021 or soon thereafter and for the duration of 3 years. The project is funded by the NovoNordisk Foundation project "CATS: Choosing A Transfer Source for medical image classification" and is led by Associate Professor Veronika Cheplygina. 

Project
Medical imaging algorithms, eg. for detection of abnormalities, are often trained via transfer learning - first on source (publicly available) images, and then on target (clinical) images. An important problem is how to choose the source data. A poor choice will impair the algorithm performance and waste computational resources.  Our goal is to develop tools for choosing source data for given types of target data, by systematically studying transfer learning, and proposing dataset similarity measures that allow predicting good source datasets in advance. 

The project will hire two PhD students, who will investigate different types of dataset similarities. This specific position is on data-driven similarities, for example based on embeddings via deep neural networks. 

The ideal candidate will have: 

• A MSc or equivalent in computer science, mathematics, physics, biomedical engineering or a closely related discipline (or a statement signed by the supervisor with the expected completion time for the MSc thesis)
• Programming experience in Python or a similar language
• Practical experience with machine learning techniques
• Enthusiastic about interdisciplinary research in a diverse team

Research environment
The successful applicant will join DASYA lab at ITU (https://dasya.itu.dk) and be supervised by Associate Professor Veronika Cheplygina (www.veronikach.com). The successful applicant will collaborate closely with the other PhD student hired for the project. There are also multiple opportunities for collaboration with other groups at ITU (https://en.itu.dk/research/departments/computer-science-department), as well as a wide network of existing collaborations within and outside Denmark. 

The PhD student will also be part of the PhD School at ITU.

We aim at building a diverse team. All applications are welcome, especially those from members of underrepresented groups are encouraged.

Application
The application must be in English and must include:

• Curriculum Vitae
• Letter of motivation, which provides evidence of independent thinking and a grasp of the research field matching the project description
• Documentation of academic degree(s)
• Optionally: applications may include a relevant publication or preprint written by the applicant, or the applicant's (draft) master thesis.

Applications without the above-mentioned required documents will not be assessed. We may ask for references later in the process.

It is understood that even highly qualified applicants will satisfy these requirements to varying degrees, for example because of differences in publication cultures in various research fields.

Early contact with the project leader (Dr. Veronika Cheplygina, vech@itu.dk) is strongly encouraged.

General information
The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time Faculty members. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT.

Salary
Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).

Application procedure
You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies 

Please read the guidelines for applicants carefully before filling in the application form. You can see the guidelines through this link: https://en.itu.dk/research/phd-programme/available-phd-positions/guidelines-for-applicants

Applications must be written in English. All other documents, such as transcripts must be accompanied by a translation in English or Danish.

Questions about the positions can be directed to Dr. Veronika Cheplygina (vech@itu.dk).

The applicant will be assessed according to the Appointment Order from the Ministry of Science, Technology and Innovation of 13 March 2012.

The IT University may use shortlisting in connection to the recruitment process. In case of shortlisting, the Chair of the hiring committee selects applicants for assessment in consultation with the hiring committee after the application deadline. All applicants are notified whether their application has been passed for assessment. The shortlisting of candidates for assessment is based on the criteria in the job posting.

Application deadline: 31 July 2021 at 23:59 CEST.

Applications/enclosures received at ITU after the application deadline will not be taken into consideration.

If you submit an application, it is your responsibility to ensure that it arrives before the deadline so please allow sufficient time for upload of publications and other documents.

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.

PhD position transfer learning in medical imaging 2

 

The DASYA (DAta-intensive SYstems and Applications) group at the Computer Science Department of the IT University of Copenhagen invites strong and highly motivated individuals to apply for a PhD position starting 1 October 2021 or soon thereafter and for the duration of 3 years. The project is funded by the NovoNordisk Foundation project "CATS: Choosing A Transfer Source for medical image classification" is led by Dr. Veronika Cheplygina, Associate professor at ITU.

Project
Medical imaging algorithms, eg. for detection of abnormalities, are often trained via transfer learning - first on source (publicly available) images, and then on target (clinical) images. An important problem is how to choose the source data. A poor choice will impair the algorithm performance and waste computational resources. Our goal is to develop tools for choosing source data for given types of target data, by systematically studying transfer learning, and proposing dataset similarity measures that allow predicting good source datasets in advance. 

The project will hire two PhD students, who will investigate different types of dataset similarities. This specific position on knowledge-driven similarities, for example based on judgments from experts.

The ideal applicant will have:

• A research master's degree in psychology, cognitive science, human-computer interaction, computational social science, artificial intelligence or similar
• Experience with empirical research involving human participants
• Programming experience in Python or a similar language
• Understanding of statistical techniques, experience with machine learning is a plus
• Enthusiastic about interdisciplinary research in a diverse team.

Research environment
The successful applicant will join DASYA lab at ITU (https://dasya.itu.dk ) and be supervised by Associate Professor Veronika Cheplygina (www.veronikach.com). The successful applicant will collaborate closely with the other PhD student hired for the project. There are also multiple opportunities for collaboration with other groups at ITU (https://en.itu.dk/research/departments/computer-science-department), as well as a wide network of existing collaborations within and outside Denmark. 

The PhD student will also be part of the PhD School at ITU.

We aim at building a diverse team. All applications are welcome, especially those from members of underrepresented groups are encouraged.

Application
The application must be in English and must include:

• Curriculum Vitae
• Letter of motivation, which provides evidence of independent thinking and a grasp of the research field matching the project description
• Documentation of academic degree(s)
• Optionally: applications may include a relevant publication or preprint written by the applicant, or the applicant's (draft) masters thesis.

Applications without the above-mentioned required documents will not be assessed. We may ask for references later in the process.

Early contact with the project leader (Dr. Veronika Cheplygina, vech@itu.dk) is strongly encouraged.

General information
The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time Faculty members. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT.

Salary
Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).

Application procedure
You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies 

Please read the guidelines for applicants carefully before filling in the application form. You can see the guidelines through this link: https://en.itu.dk/research/phd-programme/available-phd-positions/guidelines-for-applicants

Applications must be written in English. All other documents, such as transcripts must be accompanied by a translation in English or Danish.

Questions about the positions can be directed to Dr. Veronika Cheplygina (vech@itu.dk).

The applicant will be assessed according to the Appointment Order from the Ministry of Science, Technology and Innovation of 13 March 2012.

The IT University may use shortlisting in connection to the recruitment process. In case of shortlisting, the Chair of the hiring committee selects applicants for assessment in consultation with the hiring committee after the application deadline. All applicants are notified whether their application has been passed for assessment. The shortlisting of candidates for assessment is based on the criteria in the job posting.

Application deadline: 31 July 2021 at 23:59 CEST

Applications/enclosures received at ITU after the application deadline will not be taken into consideration.

If you submit an application, it is your responsibility to ensure that it arrives before the deadline so please allow sufficient time for upload of publications and other documents.

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.

 

The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.

The Thematic Area ‘Environmental Engineering and Biotechnology’ at UFZ is currently offering a doctoral researcher positions for the collaborative project ‘FATE’ (https://www.ufz.de/index.php?en=46839). Our aim is to investigate the fate of antibiotics and the development and spread of antibiotic resistance in four interlinked environmental compartments making use of state-of-the-art research facilities and platforms. One position will be dedicated to the following topic:

Phd Position (f/m/x) on impacts of antibiotics on the soil-microbe-plant nexus

Project start date: 1st November 2021. 65% working hours (25.35 hours per week), fixed-term contract for 3 years. Interviews will be conducted online on 9 August 2021.

Large amounts of antibiotics are applied in livestock production and reach agricultural fields by manure fertilization with largely unknown impacts on the soil resistome. Once added to the soil, antibiotics interact with soil particles, are subject to microbial transformation and influence the indigenous microbial community.The doctoral researcher will carry out a meta-analysis and perform greenhouse and laboratory experiments to study the impact of antibiotics on the soil-microbe-plant nexus.

Your tasks:

• Planning and conducting greenhouse and laboratory experiments
• Performing literature synthesis by means of statistical analyses
• Performing, evaluating and interpreting of DNA/protein SIP experiments
• Investigating metabolic activity of single cells by SIP and nanoSIMS
• Analysing antibiotic resistance genes and their phylogenetic distribution
• Working on a scientific qualification project: doctorate
• Publishing scientific papers on project data in peer-reviewed journals
• Presenting results at national and international conferences
• Collaborating with the FATE members
• Following the Higrade curriculum
• (Co-)supervising BA and MA students in the frame of project related work

Your profile:

• Master’s degree (or equivalent) in Natural, Life, or Environmental Sciences; e.g., (environmental) microbiology, biotechnology, molecular biology, or related disciplines.
• Solid knowledge of microbial ecology and plant ecology; additional skills in bioinformatics and stable isotope techniques are a plus.
• Excellent technical skills in microbiological and molecular biological methods, organizing and running lab experiments, data analysis and statistics.
• Enthusiasm to play an active role in the international and interdisciplinary research team of the PhD college FATE.
• Highly motivated, independent-thinking and creative personalities, with an interest to shape their own thesis project.
• Excellent written and oral communications skills in English.

We offer:

• Top level interdisciplinary research at a research centre which enjoys an excellent reputation within Germany as well as internationally
• Excellent technical facilities
• Work in inter-disciplinary and multinational teams
• Excellent links to national and international research networks
• Support and optimal training courses by our graduate school (HIGRADE)
• Remuneration in accordance with the TVöD public-sector pay grade 13 (65%)

The UFZ has a strong commitment to diversity and actively supports equal opportunities for all employees regardless of their origin, religion, ideology, disability, age or sexual identity. We look forward to applications from people who are open-minded and enjoy working in diverse teams.

Your contact for any questions you may have about the job:
Helmholtz-Zentrum für Umweltforschung GmbH - UFZ
Anja Worrich
Permoserstr. 15
04318 Leipzig
anja.worrich@ufz.de

Please submit your application via our online portal with your cover letter, CV (please omit your photo, age, or marital status) and relevant attachments.

Closing date for applications:
31.07.2021

Place of work: Leipzig

Apply

PhD Student-Department of Materials, Textiles and Chemical Engineering

 

The European Green Deal aims at zero net greenhouse gasses emissions by 2050. The steel and chemical industries are responsible for a significant fraction of these emissions. Mechanical and chemical recycling of end-of-life waste streams is an important feature in reducing these emissions. While end-of-life steel can easily be recycled, this is not generally true for end-of-life plastics and other wastes. The project aims to reduce emissions by increasing the recycling of unrecyclable waste streams, thereby tackling multiple problems at once.
This project investigates whether the waste fraction that cannot be recycled yet, can be used for both its energetic and its reductive potential as alternative reductant in a blast furnace. This would substitute for part of the cokes in a blast furnace, hereby decreasing the CO2 emissions. In the project, two routes for the production of alternative reductants will be investigated: the cokemaking route and the torrefaction route.
• In the cokemaking route pellets, supplied by the waste handling company, will be transformed into metallurgical cokes and by-products.
• In the torrefaction route, the pellets will be transformed into powdered coal.
The cokes and powdered coal take on the role of reductant and energy source in the blast furnace and as such drive the reduction process in the blast furnace. The result of this reduction reaction is that the oxygen atoms from the iron ore (FexOy) are transferred to the carbon and hydrogen atoms of the reductant, thereby forming CO, CO2, H2O and Fe (pig iron). Not only technical process aspects are important, also the economic feasibility needs to be evaluated.
The project fits in a bigger picture wherein the carbon loop can be closed completely. For this, the first step is to replace the fossil resources used in steelmaking, with carbon-based unrecyclable waste, as previously mentioned. This simultaneously addresses the large CO2 emissions of steelmaking and the lack of viable recycling options for non-recyclable wastes. The second step is the production of basic molecules for the chemical industry from steelmaking gasses, thereby creating the opportunity to close the carbon loop.
This vacancy aims to select a PhD researcher having an operations engineering, sustainable and innovative natural resource management, materials engineering, chemical engineering, business engineering, chemistry or a similar background. The goal of this PhD project is the investigation of the use of these alternative reductants in a blast furnace via techno-economic analysis, while keeping in mind which material parameters are essential for the steel production and waste handling. Your research will be counselled by the research group Sustainable Materials Science at Ghent University. The research is situated within the context of a European project showing an active cooperation with both a steel producer and waste handler.

Job profile

- You hold an MSc degree in Operations Engineering, Sustainable and Innovative Natural Resource Management, Materials Engineering, Chemical
Engineering, Business Engineering, Chemistry or another similar degree.
- Knowledge of Techno-economic assessment is an advantage.
- A background in thermodynamics and kinetics is also a plus.
- You have a strong motivation for conducting scientific research and dealing with complex research questions.
- You possess structured and creative problem-solving abilities, strong analytical and technical skills, critical scientific mindset and take responsibility for
the development of your work.
- You can work independently as well as in team.
- You have excellent English communication skills (written and oral).
- Knowledge of Dutch is a plus.

How to apply

More information on the research group can be found at https://www.ugent.be/ea/match/sms/en
Applications including a filled in application form (which can be found on the ‘Open positions’-page of our website: www.ugent.be/ea/match/sms/en/openpositions), copies of higher-education degrees, grade transcripts and the name and contact details (e-mail) of three people willing to give a reference should be sent electronically to: vacancy.sms@ugent.be (please mention “PhD vacancy alternative reductants” in the subject line). Applications without the requested forms will not be considered.

PhD Student-Department of Large Animal Internal Medicine

 

On July 1st 2021, a EU funded research project called DECIDE with 19 partners in 11 countries will start for a period of five years. About 9 PhD students and several postdoctoral researchers will be hired by the partner organizations In the DECIDE project.

The DECIDE project will develop data-driven decision support tools, which present (i) robust and early signals of disease emergence and options for diagnostic confirmation; and (ii) options for controlling the disease along with their implications in terms of disease spread, economic burden and animal welfare.

DECIDE will focus on respiratory and gastro-intestinal syndromes in the three most important terrestrial livestock species (pigs, poultry, cattle) and on growth reduction and mortality in salmonids. For each of these, we will (i) identify the stakeholder needs; (ii) determine the burden of disease and costs of control measures; (iii) develop data sharing frameworks based on federated data access and meta-information sharing; (iv) build multivariate and multi-level models for creating an early warning system. Together, all of this will form the decision support tools to be integrated in existing farm management systems wherever possible and to be evaluated in several pilot implementations in farms across Europe.

The results of DECIDE will lead to improved decisions on disease control to increase animal health and welfare and protect human health and the food chain in Europe and beyond.

At Utrecht University and Ghent University we have vacancies for four PhD students that are keen to work on the interface of data science, veterinary science and economics in an international setting. Close collaboration is foreseen with partners in the DECIDE project that identify the stakeholder needs (ETHZ, CH) and build multivariate and multi-level models for creating an early warning system (UCPH, DK). For all four positions, candidates should be team players that are able to collaborate interdisciplinary and have very good spoken and written ability in English.

Below is the description of the fourth PhD project and of the requirements for a suitable candidate for this project.

PhD 4. Developing decision support tools to be integrated in existing farm management systems for cattle farms across Europe (UGent)

The main objective of this PhD project is to develop decision support tools for implementation in cattle production. More specifically, the objectives are:

• Surveying data sources to identify which available data is most valuable in developing monitoring models and decision support tools, and help define ontologies and the methods and requirements for data access (in close collaboration with PhD1).
• Identify potential end-users and stakeholders to determine their needs, willingness and associated expectations for the data-driven decision support tools to help them prioritise control and preventive measures to better manage respiratory and intestinal diseases.
• Parameterise and use mechanistic disease model (INRAE, FR) and monitoring models (UCHP, DK) for dairy, veal and beef calves to providing herd specific and helpful data-driven advice for farmers and vets to choose an accurate measure (do nothing, vaccinate, medicate, take hygienic measures, etc.).
• Integrate the ranking of the burden of disease (in close collaboration with PhD2) and control options in a prototype decision support tool that will then be implemented and tested in a first pilot implementation with the end-users through stakeholder organisations (i.e. Lely, GD).
• The project involves both modelling for bovine respiratory disease and (neonatal) calf diarrhoea, adapted to the main production systems in the EU: dairy, beef and veal.
• Determine the drivers and barriers for the use of the tools and improve where possible.

Job profile

• The candidate has experience and affinity with cattle production systems and
• The candidate has experience with or is able to learn (statistical) programming and/or coding, in particular for predictive modelling purposes
• Proficiency in English, both written and oral is required.
• Good communication skills are essential for this interdisciplinary and international collaboration project.
• The candidate can work both on her/his own, but also enjoys interaction with an interdisciplinary team and international colleagues
  
  

The student will hold a PhD position at Ghent University in strong collaboration with Utrecht University. More information about this position can be obtained from Prof. Dr. Bart Pardon (Bart.Pardon@Ugent.be).

https://www.ugent.be/bw/asae/en/research/lanupro/projects/decide offers an overview of the project and of the 4 PhD profiles.

How to apply

Please submit your application by email to Bart Pardon (bart.pardon@ugent.be) before 17 July 2021.

Applications must be submitted in English and should include a copy of your CV, your academic transcripts and a separate motivation letter (max. 1 page) describing your research interests, skills and motivation to apply for the position.

Incomplete applications will not be considered.

From the submitted applications, a shortlist of candidates will be selected and will be invited for an interview. The interviews of the candidates from the shortlist will take place in July/August.

PhD student position in Debloating Machine Learning Systems

 Machine learning systems are proliferating our life, being part of almost every modern software stack. From industrial automation, to healthcare systems, there is an exponential adoption of these systems. While a lot of research is being done on how to design and build machine learning algorithms, very little work is being done on optimizing the systems that run these algorithms.

Like many computer systems, machine learning systems are bloated, with millions of lines of code being added to these systems every year. This bloat results in a technical debt when using these systems, where some resources (and energy) might be wasted due to this bloat. Besides the wasted resources, in general, code bloat leads to increased security vulnerabilities.

This project will investigate how to optimize machine learning systems, building on some of our recent results on removing code bloat where it exists. In addition, we will look at how to increase the modularity of these systems, to be more manageable, scalable, and efficient.

Project description
You will work in the intersection of computer systems, software engineering, and machine learning. Our aim will be to revolutionize how these systems operate, increasing their efficiency. This will enable you to develop a very unique set of skills in all three areas, while tackling interesting and challenging problems in all three areas.

The project is funded via WASP, the largest single project programme in the history of Sweden with over 5 Billion SEK (almost half a billion USD). The student will be part of the WASP graduate school and is required to take courses within the school. The perks of being a WASP student includes research visits to multiple top institutions, close collaboration with Swedish industry, and interacting with some of the best PhD students in Europe.

With 20 full time faculty, working on diverse problems related to computer systems and networking, our division Networks and Systems (CNS) at the Department of Computer Science and Engineering is one of the best places to do a PhD in computer systems in Europe. We are a collaborative environment, with collaborations within our division, but also with many others within Chalmers and beyond. We have access to cutting-edge equipments and labs.

Main responsibilities
Your major responsibilities are to pursue your own doctoral studies, while being active in WASP. 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. You will work closely with your supervisors in their respective areas of research with the aim of publishing in the best and most reputable venues in the field, e.g., EuroSys, NSDI, OSDI, HPDC, MLSys, ASPLOS, ICSE, and so on.

In addition, you will work in collaboration with KTH in Sweden, the University of Wisconsin Madisson and UMass Amherst in the USA.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
To qualify for this position, we would like you to have an M.Sc. with a focus on Computer Systems, Software Engineering, Machine learning, or related fields corresponding to at least 240 higher education credits.

WASP is highly competitive, and part of the evaluation process will be grades (specially in courses related to the project). That being said, we strongly encourage people with lower grades but strong relevant experience to apply.

You should preferably be able to code in C, C++ or Python. We expect you to become quickly confident in navigating and working with very-large code bases (Millions of lines of code), while being open to learning new technologies. Experience with Machine learning algorithms, or machine learning systems is a strong plus.

Industrial experience with software systems and large code basis can be a strong merit.

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 Ref 20210364 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. 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.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 10 August, 2021

For questions, please contact:
Assistant professor Ahmed Ali-Eldin Hassan, CNS
ahmed.hassan@chalmers.se, +46 705577274

*** 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!

 

---

Apply

PhD students in Quantum Nanophotonics

 

Our ambitious goal at Chalmers is to build a useful quantum computer. The complexity of today's quantum computers must be increased massively to solve problems of practical significance in chemistry, medicine, and others. We are forming a new interdisciplinary team exploring nanoscale optical and superconducting devices to help increase the power of quantum processors. We are seeking motivated PhD students to join us in a unique endeavor at the cutting edge of integrated photonics and quantum engineering.

Information about WACQT, the project and the division
This project is part of the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. It is also funded by the European Research Council.

Building a quantum computer requires a multidisciplinary effort involving experimental and theoretical physicists, photonics and microwave engineers, computer scientists, software engineers, and researchers in materials science and nanotechnology. At Chalmers we are developing the quantum devices, control circuits, firmware, and fabrication methods required to make the quantum computer a reality.

Our approach to quantum computing uses high-fidelity cryogenic microwave qubits. However, it is currently impossible to connect the qubits well beyond a single refrigerator while preserving their fragile quantum properties - creating major challenges in scaling. Optical photons, with their long-distance and near-noiseless propagation along room-temperature fibers, are uniquely placed to tackle this challenge. We will study nanophotonic devices to connect several smaller quantum processors into a large quantum computer. Doing so, we will establish a new interdisciplinary team in photonics and quantum engineering.

Our new team is part of the Quantum Technology division of the Department of Microtechnology and Nanoscience (MC2). We work with the experimentalists in the Photonics division and the theorists at the Applied Quantum Physics division. The larger effort currently has about 50 researchers and is expanding rapidly. Our department hosts the state-of-the-art MC2 Nanotechnology Laboratory cleanroom, the largest such facility in Northern Europe. We have cutting-edge cryogenic, microwave and optical measurement capabilities at our disposal, including seven dilution fridges. We are in a position to build and operate large-scale quantum processors!

Major responsibilities
As a PhD student, your main responsibility is to conduct research. You will be expected to help develop the team and contribute with your creative ideas. The ideal candidate has experience with nanofabrication, photonics, cryogenics and/or superconducting circuits. 

Qualifications
To qualify for these positions you should have a Master's degree in Photonics, Physics, Applied Physics, Electrical Engineering, Nanotechnology, or equivalent by the starting date at the latest. Candidates holding a Bachelor's degree may qualify in certain cases. You need to be fluent in English (spoken and written). 

We value a collaborative attitude and an interest in working both independently and collaboratively in a team environment, sharing best practices and assuming responsibility. Self-motivation, attention to detail, and a problem-solving analytical ability are important personal qualities for these positions.

Position summary
Full-time temporary employment. The position is limited to a maximum of five years and your starting date is negotiable. We offer a competitive salary and excellent working conditions!

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Application procedure
The application should be marked with Ref 20210133 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. 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:
• Add web links to your three best publications or preprints (if any) and your thesis, if available. Add a short description (a few sentences) of each of your three best publications (if any) and your contributions to it.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: Applications are reviewed continuously. The positions are open until filled.

For questions, please contact:
Assistant Professor Raphaël Van Laer, QTL
E-mail: raphael.van.laer@chalmers.se

*** 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!

 

---

 

Apply

PhD Position on foundations of artificial intelligence & machine learning

 

This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering, Chalmers University of Technology.

The PhD project will be focused on Active Learning for Deep Neural Network models. Deep learning models, despite great success in several applications such as computer vision and NLP, require a large amount of data for training. However, data annotation and labelling can be expensive in many practical situations. Active learning provides a set of principled solutions to obtain the most informative data labels with a minimal annotation/querying cost. In this project, we will study different research questions related to the theory and practice of active learning in particular with deep neural network models.

The PhD position is supported by WASP (Wallenberg AI, Autonomous Systems and Software Program), a major national initiative and the largest individual research program in Sweden, see wasp-sweden.org.  

Major responsibilities
Your main responsibility as a PhD student is to pursue your doctoral studies within the framework of the outlined research project. You will be enrolled in a graduate program in the Department of Computer Science and Engineering. You will also be part of the WASP Graduate School (wasp-sweden.org/graduate-school) and will be able to take the courses and participate in other scientific activities provided by WASP. You are expected to develop your own 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.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

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 at the time of start. The position requires sound verbal and written communication skills in English.

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 Ref 20210355 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. 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.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 1 September, 2021

For questions, please contact:
Morteza Haghir Chehreghani, CSE/DSAI, morteza.chehreghani@chalmers.se

*** 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!

 

---

 

Apply

PhD student position in Natural Language Processing

 

The Data Science and AI division at the Department of Computer Science and Engineering at Chalmers is recruiting a PhD student in natural language processing.

The newly started project is titled "Representation learning for Conversational AI", and is a collaboration project between Chalmers and KTH Royal Institute of Technology in Stockholm. The aim of the project is to develop generic language models for spoken conversation, as well as new methods for analysis and interpretation of these models. Whereas traditional language models in NLP (such as BERT) have focused on written language, we want to model spoken conversation, where aspects such as speech acts, turn-taking, incremental processing and prosody are of importance. This means that the models will have to process both text and audio (and potentially other modalities). In collaboration with industry, we will then explore how such models can be used for applications such as conversational systems, voice assistants and social robots.

More information about the project can be found here: https://www.kth.se/profile/skantze/page/phd-student-position-representation-learning-for-conversational-ai

The PhD position is supported by WASP (Wallenberg AI, Autonomous Systems and Software Program), a major national initiative and the largest individual research program in Sweden, see wasp-sweden.org).

Major responsibilities
Your main responsibility as a PhD student is to pursue your doctoral studies within the framework of the outlined research project. You will be enrolled in a graduate program in the Department of Computer Science and Engineering. You will also be part of the WASP Graduate School (wasp-sweden.org/graduate-school) and will be able to take the courses and participate in other scientific activities provided by WASP. You are expected to develop your own 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.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

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 at the time of start. The position requires sound verbal and written communication skills in English.

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 Ref 20210353 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. 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.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 1 September, 2021

For questions, please contact:
Richard Johansson,
CSE/DSAI,
richard.johansson@cse.gu.se,
+46 31-772 1887

*** 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!

 

---

Apply