阿姆斯特丹大学、哥本哈根大学最新岗位制博士项目分享

本期为大家推荐阿姆斯特丹大学、哥本哈根大学最新2025岗位制博士项目信息。

阿姆斯特丹大学

PhD in Stochastics and Optimization

UvA | Faculty of Economics and Business

APPLICATION DEADLINE: 1 November 2024

Background

TheAnalytics for a Better Worldinstitute at the University of Amsterdam applies and develop advanced analytics methods to contribute to the 17 Sustainable Development Goals. They had and have several projects in developing countries on improving accessibility to healthcare services. Examples are: optimization of primary healthcare centers in Timor-Leste, stroke centers in Vietnam, covid-19 centers in Nepal, vaccination clinics in Kenya, and water wells in Sudan. Good geospatial accessibility to healthcare services is extremely important for good health. Many low- and middle-income countries do not satisfy the healthcare accessibility goals defined by the United Nations. Currently half of the world’s population do not have access to the healthcare they need. To improve geospatial accessibility to healthcare services in low- and middle-income countries, new mathematical optimization and stochastics techniques have to be developed. The focus in this project is on minimizing the waiting time to the services. The methods will be applied and tested in cooperation with NGOs as Amref, Red Cross, WHO, and World Bank.

What are you going to do?

This PhD research initiative aims to developqueueing models to model waiting time to healthcare services in developing countries, and then develop optimization methods to solve the final nonlinear optimization model. Moreover, it could be the case that discrete-event simulation is needed to calculate the waiting time. One of the options could be to use Machine Learning for Model Learning. Moreover, the aim is to combine the facility location problem with the capacity problem (queueing models). More precisely, you will develop an optimization method to optimize both the number and locations of the facilities, and the capacities, such that the overall time to treatment (travel time + waiting time) is minimized and the costs are less than the available budget.Our partnerships with many NGO’s provide us with access to pertinent data for this research. Visits to healthcare services in one or more of the developing countries are possible, but are not compulsory.

Tasks and responsibilities

The PhD student will work in close collaboration with the supervisory team, theAnalytics for a Better Worldteam, additional academic staff, and NGOs. The responsibilities will encompass:

• Developing and applying advanced queueing models to model waiting times for healthcare facilities in developing countries;
• Developing and applying optimization techniques to simultaneously optimize the locations and capacity of healthcare facilities;
• developing open-access software tools (such as R and Python packages or C++ libraries) for applying the newly developed algorithms/models and techniques to real-world applications;
• working in close collaboration withAnalytics for a Better Worldand NGOs to understand the challenge and apply the developed techniques in practice;
• writing up findings for publication in prestigious Operations Research journals;
• presenting research findings at leading conferences;
• attending classes (including those offered by LNMB) and seminars (including those offered at other universities) to further develop thinking and research skills;
• conducting teaching (to a limited degree), including undergraduate tutorials and the supervision of BSc dissertation projects.

Your profile

• Master’s degree (preferably a Research Master´s or MPhil degree) in Stochastics, Operations Research, Business Analytics, Mathematics, Econometrics, or a related field;
• a strong background in modern Stochastics and Optimization;
• excellent programming skills in one or more of the following languages: R, Python, C, C++, and a strong willingness to develop these skills further;
• excellent communication, presentation and writing skills;
• an excellent command of English, ideally with experience writing for a scientific audience.

Job application

Studies show that women and members of underrepresented groups only apply for jobs if they meet 100% of the qualifications. Do you meet the educational requirements but do not yet have all the required experience? Then the UvA encourages you to apply anyway.

Do you recognise yourself in the job profile? Then we look forward to receiving your application before 1 November 2024. The candidate will start preferably by 1 June 2025. You may apply online by using the link below.

Applications in one pdf should include:

• A curriculum vitae;
• a letter of motivation including a description of the candidate’s primary research interests and ambition;
• transcripts of secondary school, Bachelor’s and Master’s studies;
• if available, GMAT or GRE scores, preferably recent;
• if available, proof of English proficiency through a TOEFL or IELTS test score, preferably recent.

Shortlisted candidates will be invited for a job interview and may be asked to present their master’s thesis and/or other research work. Moreover, the candidates may be asked to provide two reference letters.

哥本哈根大学

PhD fellow for mass spectrometry based proteomics investigation of disease mechanisms

UCPH|Faculty of Social and Behavioural Sciences

APPLICATION DEADLINE: 1 November 2024

Job Description

The Cardiac Proteomics Group at Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen seeks to appoint a talented PhD fellow to outline protein regulations involved in the pathogenesis of cardiometabolic syndrome. The research fellow will investigate remodeling in hearts from animal models, patient samples as well as cell systems using quantitative proteomics-based approaches to identify molecular changes driving the disease state. The fellow will be part of a collaborative research environment and can expect involvement in multiple projects, covering experimental investigations of cellular and animal disease models in addition to work with human samples.

We are seeking a highly motivated scientist to join our team. Prior experience with mass spectrometry based proteomics is required.

Qualification Requirements

1、Holds a M.Sc. with experience from a relevant field including but not limited to Biotechnology, Biochemistry or Biomedical Sciences.Please note that your master’s degree must be equivalent to a Danish master’s degree (two years).

2、Ambitious, creative, independent and self-driven

3、Hands on skills and expert knowledge in one or more of the following areas:

• Experimental know-how of mass spectrometry-based proteomics (LC-MS/MS)
• Analytical know-how of Mass spectrometry data analysis
• Experimental know-how of various types of sample preparations (such as proteomics, PTMomics, clinical proteomics, spatial- or single cell proteomics, secretomics, interactomics using high-resolution mass spectrometry).
• Experience in quantitative proteomics approaches

4、Experience in cardiac biology or physiology is an advantage

5、Good communication skills in English, both oral and written, is a requirement

6、Being willing to engage in team work

The preferred applicant should have an excellent academic track record, solid research experience and be highly motivated to deploy diverse strategies to extract novel findings of importance to cardiac pathophysiology. Previous research experience in an ambitious research environment is required.

Our group and environmentThe candidate will be part of the Cardiac Proteomics group led by Professor Lundby at the Department of Biomedical Sciences at the University of Copenhagen, Denmark. The successful candidate will be working in a team of scientists across multiple scientific fields focused on improving our molecular understanding of cardiac pathophysiology.Our facilities include state-of-the-art laboratories and core facilities as well as modern office spaces. The position provides a unique opportunity to develop expertise in cutting edge quantitative mass spectrometry-based proteomics, data analysis of large datasets and integration of multi-omics datasets. Striving for academic excellence, collegial respect and freedom tempered by responsibility, we offer creative, friendly and stimulating working conditions in a dynamic and strong scientific environment.Salary and terms of employmentThe average weekly working hours are 37 hours per week.

The position is a fixed-term position limited to a period of 3 years.The start date is15 February2025or as soon as possible hereafter.

The employment is conditioned upon the applicant’s success­ful enrolment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree.

Salary, pension and terms of employment are in accordance with the agree­ment between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary starts at approximately 30,700 DKK/Roughly 4,100 EUR (April 2024 level) plus pension.

The File Must IncludeApplications must be submitted asone PDF filecontaining all materials to be given consideration.Attachall your materials in English in one PDF file.The application should contain:

• Application (cover letter)
• CV
• Relevant diplomas (an official translation into English). For PhD applicants: Certified copy of original Master of Science diploma and transcript of records in the original language, including an authorized English translation if issued in other language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted. As a prerequisite for a PhD fellowship employment, your master’s degree must be equivalent to a Danish master’s degree. We encourage you to read more in the assessment database:https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database. Please note that we might ask you to obtain an assessment of your education performed by the Ministry of Higher Education and Science
• List of publications
• Contact details for two referees

Applications and enclosures received after the deadline will not be considered.

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