瑞典皇家理工大学、阿姆斯特丹大学最新岗位制博士项目分享

本期为大家推荐瑞典皇家理工大学、阿姆斯特丹大学最新2025岗位制博士项目信息。

瑞典皇家理工大学

Doctoral student in Computer science

KTH | School of Electrical Engineering and Computer Science

APPLICATION DEADLINE: 26 June 2025

Project description

Third-cycle subject: Computer Science

The advertised doctoral student position is for a WASP-funded fundamental research project titled "Deep Continual Learning with Imbalanced Data for Intelligent Systems." The research aims to develop, but is not limited to, continual learning methods that leverage large-scale data in computer vision while effectively dealing with class data imbalances in a task-agnostic fashion.

Supervision: Professor Atsuto Maki is proposed to supervise the doctoral student. Decisions are made on admission.

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

• passed a second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues.

We seek a candidate who has experience in deep learning, potentially in continual learning, as well as computer vision.

After the qualification requirements, great emphasis will be placed on personal skills.

Target degree: Doctoral degree

To apply for the position

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Applications must include the following elements:

• CV including your relevant professional experience and knowledge.
• Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
• Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

阿姆斯特丹大学

PhD candidate in Neuroscience of Statistical Learning in Health and Disease

UVA | Faculty of Science

Salary：€2901 - €3707

APPLICATION DEADLINE: 1 July 2025

The project will test theory-driven hypotheses using an integrative, cross-species approach combining laminar ensemble recordings (with single-cell resolution), multi-fiber photometry and optogenetics in mice, and electroencephalography (EEG) in humans. Mouse and human observers will undergo a very similar statistical learning paradigm. Part of the research will be done with schizophrenic patients, potentially supplemented with a mouse model of schizophrenia.

The project, led by Dr. Jan Willem de Gee and Prof. Dr. Cyriel Pennartz, is embedded in the Cognitive and Systems Neuroscience (CSN) group at the Swammerdam Institute for Life Sciences (SILS). You will receive top-notch interdisciplinary training, which will prepare you well for a career in cognitive and systems neuroscience.

The mission of the Cognitive and Systems Neuroscience group is to elucidate how neuronal networks distributed across the sensory neocortex, frontal cortex, hippocampal memory system and subcortical regions cooperate in conscious perception, decision-making and memory processing. We are interested in questions such as how perceptual representations are formed and how perceptual decisions are made.

We employ state-of-the-art tools such as multi-area, laminar ensemble recordings, 2-photon imaging, multi-fiber photometry, optogenetics, functional magnetic resonance imaging (fMRI; at 7 Tesla), pupillometry and human electroencephalography. These approaches are combined with computational modelling psychophysics and other behavior.

What are you going to do?

You are expected to design, plan, and perform experiments in mice and humans. Co-supervisors will help during every stage of the project, but your strong motivation and pro-active work ethic is required. You are expected to learn new techniques quickly, if necessary.

Tasks and responsibilities:

• complete and defend a PhD thesis within the appointment duration of four years;
• design, plan, and perform experiments and data analysis in an independent manner;
• critically analyze and interpret results;
• write manuscripts;
• present your results at (inter)national scientific meetings;
• collaborate with international and local researchers;
• participate in the Faculty of Science PhD training programme;
• assist in teaching undergraduates and Master students;
• co-supervise internships of MSc/BSc students.

Your application & contact

Do you have questions about this vacancy? Or do you want to know more about our organisation?

Please contact: dr. J.W. de Gee (Assistant Professor; j.w.degee@uva.nl).

Do you recognize yourself in the job profile? Then we look forward to receiving your application by 30 June 2025.

Applications in .pdf should include:

• a motivation letter and CV, including a list of publications,
• a copy of your Master’s thesis (when available). If not yet available, please include a copy of your Bachelor’s thesis.
• a list of all university courses taken, including a transcript of grades;
• the name and contact details (including email address) of two referees who can provide details about your profile (one of whom should be the main supervisor of your Master thesis).