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How to Find Your PhD Position in Germany

Are you looking for a doctoral position in Germany? In the DAAD databases, you can find open PhD positions in all fields and all over Germany. When you have found an offer that matches your interests you can apply online at the offering university.

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PhD Data Management and Statistics

How many doctoral students received their doctorate in the past year? And what was the composition of the doctoral students at the University of Bonn? Our annual PhD statistics answer these and other questions.

In our newsletter Bonn Doctoral Bulletin we regularly publish further key figures on our doctoral students.

Facts and Figures

Doctoral students at the university are members of an interdisciplinary research community that includes the seven faculties in Bonn. In 2022, a total of 6,456 young researchers did their doctorate at the University of Bonn. Another 579 doctoral students were able to successfully complete their doctorate.

Doctoral degrees according to PhD statistics 2022:

• Faculty of Mathematics and Natural Sciences: 215
• Faculty of Medicine: 212
• Faculty of Agriculture: 57
• Faculty of Arts: 48
• Faculty of Law and Economics: 41
• Faculty of Protestant Theology: 5
• Faculty of Catholic Theology: 1

Ongoing Doctorates

Completed Doctorates

Female Doctoral Students

Where do our doctoral students come from?

The University of Bonn has an international body of doctoral students: the proportion of doctoral students with foreign citizenship is 25.9 percent. About 29 percent of all young researchers are already doing their doctorate within the framework of a structured program.

International Doctoral Students

Bonn International Graduate Schools

In a Structured Program

Why is which data collected?

As a result of the amendment to the University Statistics Act of March 6, 2016 (HStatG), the University of Bonn is obliged to collect data from its doctoral candidates. These include, for example, the type and duration of the doctorate as well as the doctoral subject. Further information about the HStatG and the data collected by the university can be found here (in German).

In order to further improve the data situation, we will introduce a central administrative system in the future. Until this system is in place, you can support us by filling out our questionnaire and sending it to your doctoral office .

Carina Teichrib

[email protected]

[email protected]

+49 228 73-60186

Other exciting facts and figures about the university, such as the number of professors or the total area of our campus.

Bonn Doctoral Bulletin

Stay up-to-date on important topics on doctoral studies and subscribe to our newsletter.

First steps towards a doctorate

Each faculty determines its own doctoral regulations. Here you will find information about the formal requirements of your faculty and the first steps towards a doctorate.

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PhD students

Here you find a  selection of funding programmes  for international PhD students by various funding organisations. For more funding opportunities please search our  funding databases .

Selection of funding programmes (alphabetical order):

Collaborative Research Centres

Collaborative Research Centres offer PhD students opportunities to pursue an outstanding research programme that crosses disciplinary, institutional, departmental and faculty boundaries.

DLR-DAAD Research Fellowships

Outstanding PhD students can complete a doctorate in the fields of space, aeronautics, energy, transport, digitalisation and security at an institute of the German Aerospace Center (DLR).

ERA Fellowships – Green Hydrogen

This programme provides funding for a research project or continuing academic training in the field of GH2.

Green Talents

The winners of this competition are invited to visit leading German institutions of environmental and sustainability research. Furthermore, Green Talents awardees can complete a research stay at an institution of their choice.

Individual Doctoral Projects at Fraunhofer Institutes

PhD students can complete a doctorate while working on exciting projects in cutting-edge areas of technology involving state-of-the-art equipment at a Fraunhofer institute.

Individual Doctoral Projects at Leibniz Institutes

PhD students can complete a doctorate while working in an excellent interdisciplinary research environment at a Leibniz institute.

Individual Doctoral Projects at Max Planck Institutes

PhD students can complete doctoral projects within the scope of research work conducted at a Max Planck institute.

International Max Planck Research Schools

PhD students can complete a doctorate in a structured programme offering excellent research conditions at one of the 68 International Max Planck Research Schools (IMPRS).

International Visiting Researchers at Max Planck Institutes

International researchers can conduct independent research at a Max Planck institute. The programme aims to strengthen cooperation and promote networking between Max Planck institutes and their international partners.

Leibniz Graduate Schools and Leibniz ScienceCampi

PhD students will find ideal conditions for completing a doctorate in a structured doctoral programme that can be pursued at either a Leibniz institute or a partner university.

Marie Skłodowska-Curie Doctoral Networks

PhD students receive structured doctoral training within these networks, which are formed jointly by different European institutions.

Max Planck Schools

The Max Planck Schools are a joint graduate programme run by German universities and research organisations. They offer ambitious bachelor’s and master’s graduates excellent conditions within a unique scientific network, and provide structured and fully funded PhD programmes in three interdisciplinary research fields: cognition, matter to life and photonics.

Munich Aerospace: PhD Scholarships

Munich Aerospace PhD scholarships allow talented young scientists to focus exclusively on the research work at hand and on attaining a timely doctoral degree.

PhD Fellowships

The Boehringer Ingelheim Fonds awards PhD Fellowships to outstanding early career researchers who wish to carry out an ambitious scientific PhD project in basic biomedical research at an internationally leading laboratory.

Research Grants – Bi-nationally Supervised Doctoral Degrees/Cotutelle

The aim of this programme is to support doctoral degrees at the student’s home university with integrated research phases in Germany.

Research Grants – Doctoral Programmes in Germany

International PhD students can realise a doctoral project (individually or in a structured programme) at a state or state-recognised German university or non-university research institution.

Research Grants – One-Year Grants

International doctoral candidates can carry out research primarily as part of a doctoral project at a state or state-recognised university or non-university research institution in Germany.

Research Training Groups

Research Training Groups are set up by universities and pursue a focused research programme. They offer a structured PhD programme relating to an innovative, peer-reviewed research topic.

RISE Professional

This programme enables students in the fields of natural sciences, engineering or computer science from North America, the United Kingdom or Ireland to gain serious practical experience in a German company or research institution with strong industry ties.

Travel Grants

The Boehringer Ingelheim Fonds (BIF) awards travel grants to PhD students and postdoctoral researchers from all over the world.

More information:

Search funding databases.

More funding programmes are available for international researchers. For more information you can either search the funding databases or go straight to the websites of the funding organisations.

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• Munich Data Science Institute
• Technical University of Munich

Doctoral Studies

For PhD students at TUM whose research projects are related to data science issues, MDSI offers various funding and qualification opportunities.

PhD positions in Data Science, in Germany - DASHH (MSCA)

The Helmholtz Graduate School for the Structure of Matter (DASHH)  is an interdisciplinary graduate school that offers challenging PhD topics at the interface of the Natural Sciences, Applied Mathematics, Data Science and Informatics. DASHH involves several key research institutions and universities in the multifaceted city of Hamburg, Germany.

The DASHH Call for Applications 2021 for 13 exciting PhD positions is open now. DASHH is seeking highly qualified and highly motivated candidates with an excellent academic background in the Natural Sciences or in Computer Science/Mathematics as well as experience in programming.

DASHH offers data-driven interdisciplinary research topics in Physics, Engineering, Chemistry, Applied Mathematics, Informatics, and Structural Biology with a work contract e.g., at the level of the German TV-L/TV-AVH salary scheme (remuneration group 13, 100 %) for 3 years.

In order to apply you need to have a  Master's Degree  (or an estimated date of Graduation within the same year of application) in computer science, applied mathematics or natural sciences, preferably with an interdisciplinary training at the interface of natural and computer science or mathematics. Degrees from foreign universities and master degrees in non-research oriented study programs (Fachhochschule) might be eligible. For further information, consult the doctorate regulations (Promotionsordnung) of the respective partner university.

The PhD topics are:

• DePhaCTo : Deep Learning for X-Ray Phase Contrast Tomography
• Polycrystalline Materials : Automatized Diffraction Pattern Recognition for Scanning Surface X-Ray Crystallography of Polycrystalline Materials
• Quantum Dynamics : Time Evolution for Quantum Dynamics with Efficient Solvers
• NN4CryoEM : Identification of Macromolecules in Cryo-Electron Microscopy Reconstruction Maps Using Neuronal Networks
• Fault Prediction : Board Level Fault Prediction for the Embedded Sensor Systems at the European XFEL
• Heavy Higgs Boson : Search for Heavy Higgs Bosons and Axion-Like Particles with the CMS Experiment via Deep Neural Networks
• Nanotomography : Machine Learning for the Automated Selection and Reconstruction of Multi-Modal Nanotomography Data of Bone-Implant Interfaces
• Rate-Equation Systems : Development of Machine Learning Approaches for Solving Large Rate-Equation Systems
• ML4Collider Data : Topology- and Dimensionality-Aware Learning of Physics Data
• LeCASE Pr : Leveraging Continuous & Assisted Software Engineering to Study and Support Development Processes at Free Electron Lasers
• Crystallographic Analysis : New Algorithmic Approaches to Macromolecular Crystallographic Analysis
• LeCASE Ar : Leveraging Continuous & Assisted Software Engineering to Assess and Improve Software Artefacts' Quality at Free Electron Lasers
• Quantum Simulations : Quantum Simulations of Laser-Induced Electron Diffraction using Recurrent Neural Networks

more information here

Deadline: 1 December 2021 .

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International Programmes 2023/2024

Geoscience PhD Geoscience PhD

University of göttingen • göttingen.

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Courses are held in English (75%) and German (25%).

The PhD programme Geoscience is based on three research foci of the faculty. These are:

1. Coupled processes among the geosphere, hydrosphere, atmosphere and biosphere

This research focus examines geological, mineralogical, crystallographic and biological processes in the formation of minerals and rocks. Interactions at different geological and biological interfaces are investigated. At these interfaces, mass transfer processes take place, beginning in the low-thermal region and extending to the upper temperature limit for life (110-120°C).

2. Dynamics and transport processes of the lithosphere

This priority focuses on the fundamental processes that control the dynamics of the lithosphere and the design of the earth's surface. The extent and nature of volcanic eruptions are determined by the physical properties of melts and their chemical evolution in the magma reservoir. The geochemical composition, isotopic tracers and the physical properties of the magmas are examined analytically and experimentally. They make it possible to reconstruct the origin, depth and activity of magma chambers.

3. Coupled processes in georeservoirs

The development of geological reservoirs in the earth's crust (georeservoirs) for applications beyond hydrocarbon extraction has been intensified worldwide over the past decades. For example, the use of geothermal energy as a renewable, base-load energy source and the storage of gases and energy in geological formations are of growing economic and societal importance.

By participating in a number of externally funded projects, doctoral candidates learn to perform independent scientific work. Through active participation in the scientific affairs of the faculty or the Geoscience Centre, students acquire knowledge and skills that go beyond a curricular programme of study.

The focus of the PhD programme lies on the individual research of the PhD students (160 ECTS are gained by dissertation and defence), which is accompanied by a variety of courses: 20 ECTS are gained by completing courses, one compulsory course on theory and methods is included, and three elective courses are part of the programme (e.g., on reflecting research, scientific communication, scientific teaching, key competencies, etc.). Students are free to decide on the specific courses they will complete during each semester.

Fees are around 400 EUR per semester. The fees include a prepaid semester ticket that entitles students to use regional trains (in Lower Saxony and Bremen) and city buses in Göttingen free of charge. Students of the University of Göttingen receive discounts for cultural events. Meals and drinks are also available at reduced prices at all university canteens. Fees: http://www.uni-goettingen.de/fee Semester ticket: http://www.uni-goettingen.de/en/16432.html

The average cost of living in Göttingen is modest compared to other major university cities in Germany. Currently, expenses for accommodation, food, health insurance and books are about 850 EUR per month. Please note that fees for health insurance may vary according to age.

For further information, please see the following link: www.uni-goettingen.de/en/54664.html .

The confirmation of one potential supervisor from the Faculty of Geoscience and Geography to supervise the doctoral thesis is required upon application. Please see the course website for the entire admission regulations and details about the application procedure: https://www.uni-goettingen.de/en/430861.html .

Applicants must provide proof of their English skills, e.g.:

• Cambridge Certificate in Advanced English, at least grade "B"
• Cambridge Certificate of Proficiency in English, at least grade "C"
• IELTS Academic (International English Language Testing System): at least 6
• TOEFL iBT: at least 80 points
• TOEFL PBT (paper-based): at least 550 points
• CEFR (Common European Framework of Reference): at least level B2 certificate
• UNIcert: at least level III
• successful graduation from an English-language study programme

University of Göttingen Dekanat der Fakultät für Geowissenschaften und Geographie Goldschmidtstr. 3 37077 Göttingen Germany

The university supports students in finding part-time jobs in local industry and businesses. A number of student jobs are also available at the university. They are announced on the following website: www.stellenwerk-goettingen.de .

Please note that restrictions may apply with your scholarship or visa.

Foreign applicants should note that it is not easy to find a job to finance their studies, as German students are also searching for jobs. Some proficiency in German may be indispensable to your job search. Non-EU students are permitted to work a maximum of 120 full days (240 half days) per year.

The Accommodation Service of the International Office supports international students who are enrolled at the University of Göttingen in finding accommodation and serves as a point of contact for related queries. The Accommodation Service also publishes suitable offers from private landlords in Göttingen and collaborates with the Student Services ("Studentenwerk"). As the number of available accommodation options in Göttingen is limited, it is highly recommended to contact the Accommodation Service as early as possible.

Further information: https://www.uni-goettingen.de/en/617883.html

Please note: For doctoral students, accommodation services are only available if you have a low income.

The Career Service of the University of Göttingen offers individual support to facilitate your successful transition from the academic to the professional world — whether you want to work in Germany or abroad. Especially for international students aiming for a career entry in Germany, the Career Service provides topic-specific "Career Impulse Sessions", workshops, online learning modules, and a qualification programme in “Building International Careers” as well as digital career tools and a virtual community for international employment opportunities: www.uni-goettingen.de/en/292.html .

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PhD Position in Artificial Intelligence for Data Generation- TUM Chair of Responsible Data Science

12.03.2024, Wissenschaftliches Personal The Chair of Responsible Data Science at the Technical University of Munich (TUM) offers an exciting Ph.D. opportunity focused on the cutting-edge field

St Andrews–Max Planck PhD Studentship in Population, Health and Data Science

Job Offer St Andrews–Max Planck PhD Studentship in Population, Health and Data Science We invite applications from qualified and highly motivated students for a 3.5-year St Andrews–Max Planck  PhD

Open PhD Positions in Responsible Data Science at TU Munich

on Responsible Data Science . The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in

12 PhD Positions (f, m, d)

and biology and to 75% in physics and mathematics. The positions are funded by the German Research Foundation (DFG) for 3 years with the possibility to extend up to 4 years. The PhD students enrolled in

PhD Position in the field of condensed matter physics (f/m/d)

the Georg-August University School of Science (GAUSS) , a structured PhD program. What we are looking for: You have completed your scientific university studies with a master’s degree in the field of physics

PhD positions: A multi-organ approach to investigate the endothelium during vascular and neuronal aging and inflammation (EndoAge) (m/f/d)

22 Mar 2024 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences Researcher Profile First Stage

PHD positions(all genders welcome)

PHD positions(all genders welcome) At the University of Göttingen -Public Law Foundation-, Albrecht-von-Haller-Institut für Pflanzenwissensch. - Abt.Biochemie der Pflanze, there are 2 positions as

PhD student

Degree or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteTUMCountryEuropeGeofield Where to apply Website https://www.science.hr/jobs/150880/ phd -position

PhD position: Physics-based and Data -Driven Spectral Unmixing

Center for Machine Learning (MCML), the European Laboratory for Learning and Intelligent Systems (ELLIS Munich) and the Munich Data Science Institute (MDSI). We are currently recruiting a PhD student to

PhD position: Systematic investigation of the role of the BAF complexes in genome stability (m/f/d)

12 Mar 2024 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences Researcher Profile First Stage

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2726 Study programs

Study Data Science in Germany: 93 Universities with 134 English Degree Programs

All important info for international students in germany (2024/2025).

Data Science is an interdisciplinary field of science that enables scientifically sound methods, processes, algorithms, and systems for extracting knowledge, patterns, and inferences from both structured and unstructured data.

Data Science uses techniques and theories from mathematics, statistics, and information technology, including signal processing, uses probability models of machine learning, statistical learning, programming, data science, pattern recognition, prognostics, uncertainty modeling, and data warehousing.

Individuals working in the field of Data Science are referred to as Data Scientists, although more specific or specializations of other, higher-level job titles are usually common (e.g., statistician, computer scientist).

Study Programs in English

Universities

Universities in International Rankings

€ 0 (75 programs for EU citizens, 66 programs for Non-EU citizens)

€ 10,000 per semester (4 programs for EU citizens/Non-EU)

Winter Semester

between April 15 and March 31

Summer Semester

between April 30 and March 15

Top-ranked German Universities in Data Science

private (state-approved) University

No. of Students: approx. 1,000 students

Program Fees: € 8,000 - € 9,875 (per semester)

private (state-approved) University of Applied Sciences

No. of Students: approx. 100,000 students

Program Fees: € 2,394 - € 5,975 (per semester)

No. of Students: approx. 400 students

Program Fees: € 7,390 - € 7,890 (per semester)

public University

No. of Students: approx. 51,000 students

Program Fees: € 0 (per semester)

public Technical University

No. of Students: approx. 47,000 students

Program Fees: € 0 - € 6,000 (per semester)

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Webinar video, study computer & data science in germany (2021) | webinar with deggendorf institute of technology & tu braunschweig.

This video is a recording of the webinar "Study Computer & Data Science in Germany" from May 5, 2021 - with two special guests:

• Deggendorf Institute of Technology: B.Sc. Artificial Intelligence  presented by Prof. Dr. Patrick Glauner (Full Professor of Artificial Intelligence) ​
• Technische Universität Braunschweig: M.Sc. Data Science presented by Prof. Dr. Ina Schaefer (Professor for the Institute for Software Engineering and Automotive Informatics)

3 English Degree Programs for Data Science in Germany

Kühne Logistics University Hamburg

International management.

University of Bayreuth Bayreuth

Scientific computing.

Technische Universität Braunschweig Braunschweig

Computational sciences in engineering.

Application Deadlines

Winter Semester 2024/2025

Summer Semester 2024

Winter Semester 2025/2026

Open Programs

135 programs

26 programs

139 programs

Application Modes

Application process.

Berlin Professional School Hochschule für Wirtschaft und Recht Berlin · Berlin

International business management.

TU Dortmund University Dortmund

ifs Internationale Filmschule Köln / TH Köln - Cologne University of Applied Sciences Cologne

Digital narratives.

TOEFL Scores

Cambridge Levels

4 (1 program )

61 (3 programs )

B1 Preliminary (PET) (2 programs )

7 (18 programs )

108 (1 program )

C2 Proficiency (CPE) (21 programs )

NIT Northern Institute of Technology Management Hamburg University of Technology · Hamburg

Technology management - double master's program [english].

HECTOR School of Engineering and Management Karlsruhe Institute of Technology (KIT) · Karlsruhe

Mobility systems engineering & management.

Technology Management - Double Master's Program [German]

2-20 semesters

→ View all programs with online courses

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List of all German Universities offering English-taught Study Programs in Data Science

Aschaffenburg University of Applied Sciences

Program Fees: € 0

B.Sc. (Bachelor of Science)

Bauhaus-Universität Weimar

M.Sc. (Master of Science)

Berlin International University of Applied Sciences

Program Fees: € 4,050 - € 4,190

B.A. (Bachelor of Arts)

Berliner Hochschule für Technik (BHT)

Bielefeld University

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Johns Hopkins University Applied Physics Laboratory

2024 phd graduate – modeler and data analyst.

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Are you an expert in developing physics-based acoustic or electromagnetic wave propagation models?

Are you passionate about designing and testing prototype sensors?

If you are graduating with a PhD in Physics, Engineering, or Applied Mathematics and want to work in acoustic or electromagnetic sensors and systems, we’d love to have you join our team!

We are seeking a Modeler and Data Analyst to help us design, prototype, and test novel sonar and electromagnetic systems and concepts. As a member of our team, you will contribute to advancing U.S. Navy capabilities through sensor system performance prediction and assessment. You will be joining a hardworking team of physicists, engineers, and mathematicians who take new acoustic and electromagnetic sensor systems from concept to reality in support of U.S. homeland security. We are passionate about understanding physical phenomena and how they may be utilized. Our team is committed to solving new and evolving challenges as we strive to foster a collaborative environment of continuous learning.

As a member of our team… • Your primary responsibility will be to conduct sensor system performance modeling for undersea warfare projects

• You will develop, maintain, and extend models of underwater acoustic or electromagnetic propagation and system performance

• You will analyze sonar or electromagnetic system data

• You will document and present results

You meet our minimum qualifications for the job if you… • Have a PhD in Physics, Engineering, or Applied Mathematics • Have knowledge of acoustic or electromagnetic wave propagation • Are proficient in MATLAB or Python

• Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you… • Have experience in collecting sonar data and comparing to model predictions • Have experience with electromagnetic sensors

• Are familiar with acoustic source and receiver technology • Have experience using high performance computing or software development best practices

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at www.jhuapl.edu/careers.

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.

APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [email protected]. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place.

• iSchool Connect

ConnectED: Tech for All podcast launched by Community Data Clinic

The Community Data Clinic (CDC), a mixed methods data studies and interdisciplinary community research lab led by Associate Professor Anita Say Chan, has released the first episode of its new podcast, ConnectED: Tech for All. Community partners on the podcast include the Housing Authority of Champaign County, Champaign-Urbana Public Health District, Project Success of Vermilion County, and Cunningham Township Supervisor’s Office.

Under Chan's direction, a team of students collaborated to  generate this new resource. The team included PhD student and program manager Julian Chin, MSLIS student Evan Allgood, iSchool undergraduate students Aisaiah Pellecer, Harshitha Vetrivel, Kaylee Janakos, and Lauren Ravury, and College of Media undergraduate William Schermer.

ConnectED: Tech for All is a podcast that dives into the heart of East Central Illinois communities. In each episode, the podcast spotlights how local community resources and programs have transformed the lives of our neighbors. Whether an educational program, essential community services, or a grassroots initiative, the podcast aims to connect listeners with critical tools and promote conversations about digital equity, literacy, and access.

The first episode, “A Convo about Education with Jessica Black,” follows a conversation about accessible educational opportunities and programs in East Central Illinois. Black, a Mahomet, Illinois, native who formerly served as a case manager for Cunningham Township and Planned Parenthood, is now a fellow for Lead For America under the American Connection Corps. This episode highlights various free and low-cost educational resources for adults that are offered through institutions such as Parkland College and Cunningham Township as well as Black’s experience as a graduate of the Odyssey Project at the University of Illinois Urbana-Champaign, which offers a free humanities education to residents of East Central Illinois. Through discussing her personal experiences as a student or steward of these programs, Black opens up a broader conversation about inclusivity, accessibility, enjoyment, and community in relation to education in a post-COVID-19 environment.

You can find the episode on Spotify and on the Community Data Clinic website .

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