Job Description

Job Overview:

We are seeking a highly qualified and experienced Doctoral Advisor in an esteemed academic institution within the greater regions of Belgium, the Netherlands, Germany, Denmark, Norway, Sweden, and Finland. The successful candidate will play a crucial role in guiding and mentoring a doctoral student in their pursuit of advanced research in the field of mathematics and/or machine learning. The advisor will provide academic, professional, and personal support to ensure the success and timely completion of the PhD program.

The advisor will specifically take on a PhD candidate versed in optimization, applied mathematics, statistics, and machine learning. The candidate will engage in both graduate-level research and teaching responsibilities. Preference will be given to advisors willing to work with multiple academic institutions for the possibility of a "cotutelle" to fit the research needs of the candidate. Research emphasis will be on the Riemann zeta function, machine learning algorithm design, and applications within quantum mechanics.

Responsibilities:

1.

Academic Guidance:

Provide expert guidance on the selection of research topics, methodologies, and theoretical frameworks. Assist students in developing a comprehensive and coherent research plan aligned with their academic and career goals. Review and evaluate research proposals, drafts, and other academic work, offering constructive feedback to enhance quality.
2.

Mentorship and Professional Development:

Foster a supportive and inclusive academic environment conducive to the intellectual growth and development of students. Mentor students in developing effective communication and presentation skills, encouraging participation in conferences and seminars. Facilitate networking opportunities with peers, researchers, and professionals in the mathematical community.
3.

Research Collaboration:

Collaborate with doctoral students on research projects, promoting interdisciplinary collaboration where applicable. Encourage publication in reputable journals and conferences, assisting with the submission process and providing guidance on improving research quality.
4.

Administrative Duties:

Assist in the admissions process by evaluating prospective candidates and participating in admission interviews. Collaborate with departmental faculty and administrators to enhance the overall quality of the mathematics / computer science PhD program. Participate in relevant departmental and institutional committees and meetings.

Qualifications:

1.

Education:

A doctoral degree in mathematics, computer science, machine learning, or a closely related field.
2.

Experience:

Substantial experience in mentoring and advising PhD students. A strong record of research and publications in reputable journals. Knowledge of complex analysis, L-functions, prime number theory, computational topology, statistics, quantum mechanics, and/or machine learning
3.

Skills:

Excellent communication and interpersonal skills. Ability to inspire and motivate students to excel in their academic and research pursuits. Strong organizational and administrative abilities. Capable of interpreting complex code within the R programming language
4.

Attributes:

Passion for advancing mathematical and computational knowledge and contributing to the academic community. Commitment to fostering diversity, equity, and inclusion in academic settings.

Application Process:

Interested candidates should submit a curriculum vitae, a statement of advising philosophy, a sample of recent publications, and a project proposal of their current laboratory's research. Review of applications will begin immediately and continue until the position is filled. The intended start date for the PhD candidate will be September 2024 or by agreement.

Job Type: Part-time

Pay: 25.000,00€ - 40.000,00€ per year

Education:

Doctorate (Required)
Experience:

Teaching: 4 years (Preferred) Research: 4 years (Preferred)
Work Location: In person

Expected Start Date: 01/09/2026